In this comprehensive guide, we compare CODY AI and Crisp across various parameters including features, pricing, performance, and customer support to help you make the best decision for your business needs.
Overview
When choosing between CODY AI and Crisp, understanding their unique strengths and architectural differences is crucial for making an informed decision. Both platforms serve the RAG (Retrieval-Augmented Generation) space but cater to different use cases and organizational needs.
Quick Decision Guide
Choose CODY AI if: you value true rag architecture with pinecone vector database and configurable retrieval parameters (relevance score, token distribution, focus mode)
Choose Crisp if: you value omnichannel messaging with native whatsapp, messenger, instagram, telegram, twitter/x, sms, line, slack integrations
About CODY AI
CODY AI is business-focused no-code rag platform with source attribution. Business-focused RAG-as-a-Service platform enabling no-code AI assistant creation trained on custom knowledge bases. Acquired by Just Build It (May 2024), claims 100,000+ businesses as customers. TRUE RAG platform with Pinecone vector database, multi-LLM support (GPT-4, Claude 3.5, Gemini 1.5, Llama 3.1 on Enterprise), and comprehensive REST API. Differentiators: source attribution with every response, Focus Mode (inject 1,000 docs into context), 15-minute bot deployment. Critical gaps: NO direct SOC 2 certification (infrastructure partners only), NO official SDKs, NO native cloud storage integrations. $0-$249/month credit-based pricing. Founded in 2022, headquartered in United States, the platform has established itself as a reliable solution in the RAG space.
Overall Rating
85/100
Starting Price
$29/mo
About Crisp
Crisp is omnichannel customer messaging platform with ai assistance. Customer messaging platform with AI features serving 600,000+ businesses. Founded 2015 (France) by Baptiste Jamin and Valerian Saliou, bootstrapped with $1.4M revenue (2024). NOT a RAG-as-a-Service platform—designed for unified customer communication with AI assistance. Proprietary Mirage AI model + third-party LLM support (GPT-4o, Claude, Llama). Critical gaps: NO programmatic knowledge querying API, NO vector/embedding infrastructure, NO bot management API, NO cloud storage integrations, NO SOC 2 certification (claims compliance without audit). €0-€295/month ($0-$316) with 50 AI uses/month on Essentials, unlimited on Plus. Founded in 2015, headquartered in Paris, France, the platform has established itself as a reliable solution in the RAG space.
Overall Rating
87/100
Starting Price
$45/mo
Key Differences at a Glance
In terms of user ratings, both platforms score similarly in overall satisfaction. From a cost perspective, pricing is comparable. The platforms also differ in their primary focus: AI Chatbot versus Customer Support. These differences make each platform better suited for specific use cases and organizational requirements.
⚠️ What This Comparison Covers
We'll analyze features, pricing, performance benchmarks, security compliance, integration capabilities, and real-world use cases to help you determine which platform best fits your organization's needs. All data is independently verified from official documentation and third-party review platforms.
Detailed Feature Comparison
CODY AI
Crisp
CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
Supported formats: PDF, Word (.doc/.docx), PowerPoint (.ppt/.pptx), plain text files with 100MB maximum file size per document
Built-in text editor: Direct text input for creating knowledge base entries without file uploads
Website crawler (Premium/Advanced): Import up to 25,000 pages on Advanced tier with automatic recurring re-imports for up to 9 websites
Document capacity by tier: Free (100 documents), Basic (1,000), Premium (10,000), Advanced (25,000 documents + 25,000 crawled web pages)
Storage architecture: Amazon S3 with SSE-S3 encryption protocol for documents, Pinecone vector database (SOC 2 Type II certified) for embeddings
Dynamic chunking algorithm: Adjusts chunk size based on token distribution for optimal retrieval performance (specific parameters not publicly documented)
Manual retraining: Always available for immediate knowledge base updates across all plans
Automatic syncing: Limited to website sources only with recurring re-imports (not available for uploaded documents)
CRITICAL LIMITATION: No NO YouTube transcript support - cannot ingest video content from YouTube for training
CRITICAL LIMITATION: No NO native cloud integrations - Google Drive, Dropbox, Notion connections only via Zapier (adds friction vs direct OAuth)
LIMITATION: No NO audio file support (MP3, M4A), No NO video file support (MP4), No NO code file ingestion, No NO Excel/CSV direct import
Five primary data source types: Answer snippets (Q&A pairs up to 1,000 characters), automatic website crawling by domain, native Knowledge Base articles, past conversation history from human agents, file uploads via Data Importer
Supported file formats: PDF, Word (DOC/DOCX), plain text (TXT), CSV through Data Importer feature
Website crawling: Entire domain processing with sitemap support, manual refresh requests required for updates (NO automatic sync for web content)
Knowledge Base sync: Articles automatically sync to AI training when updated (only source type with automatic retraining)
Conversation history training: Past human agent conversations used for AI learning with explicit training triggers required
Training permissions: Only workspace owners can launch AI training sessions (team bottleneck for larger organizations)
CRITICAL LIMITATION: No NO YouTube transcript support - cannot ingest video content for knowledge base
CRITICAL LIMITATION: No NO native cloud storage integrations - Google Drive, Dropbox, Notion, OneDrive all absent without third-party workarounds
CRITICAL LIMITATION: No NO documented volume limits or scaling capabilities - significant gap vs enterprise RAG platforms handling millions of documents
LIMITATION: No NO API endpoint to trigger retraining programmatically, No NO webhook notification when training completes, No NO scheduled retraining automation
Lets you ingest more than 1,400 file formats—PDF, DOCX, TXT, Markdown, HTML, and many more—via simple drag-and-drop or API.
Crawls entire sites through sitemaps and URLs, automatically indexing public help-desk articles, FAQs, and docs.
Turns multimedia into text on the fly: YouTube videos, podcasts, and other media are auto-transcribed with built-in OCR and speech-to-text.
View Transcription Guide
Connects to Google Drive, SharePoint, Notion, Confluence, HubSpot, and more through API connectors or Zapier.
See Zapier Connectors
Supports both manual uploads and auto-sync retraining, so your knowledge base always stays up to date.
Integrations & Channels
Native Slack integration: Free for all users with /assign-bot command for channel-specific bot assignment and @mentions for queries
Native Discord integration: Users mention @Cody for queries within Discord servers (free for all users)
Zapier integration: Connects to 5,000+ apps including Telegram, Facebook Messenger, Google Sheets, Google Docs, WhatsApp (via ecosystem)
Website embedding (3 methods): Shareable links (direct URLs without site modification), inline embeds (widgets within page sections), popup embeds (floating chat bubbles)
REST API v1.0: Full API access on all paid plans with documentation at developers.meetcody.ai
CRITICAL GAPS: No NO Microsoft Teams native integration (Zapier workaround required), No NO WhatsApp Business native integration (Zapier only), No NO Google Drive/Dropbox/Notion native connections
LIMITATION: No NO webhook functionality explicitly documented in API - potential constraint for event-driven architectures and real-time notifications
Omnichannel messaging: Website chat, email, WhatsApp Business API (Official Business Solution Provider), Facebook Messenger, Instagram DM, Telegram, Twitter/X DM, SMS (via Twilio), Line, Slack
Zapier integration: Triggers (new contacts, messages, conversations, segment updates, status changes), Actions (state changes, contact creation, conversation search) - functional but basic depth vs dedicated automation platforms
Website embedding: JavaScript snippet for native chat widget, NPM packages for React/Vue/Angular (crisp-sdk-web), mobile SDKs (iOS Swift, Android Java), React Native support
REST API: Comprehensive conversation management, CRM operations, helpdesk CRUD with programmatic access on all paid plans
Webhooks: Website Hooks (simple setup, limited events) + Plugin Hooks (50+ event namespaces, signed payloads, retry on failure)
RTM API: WebSocket connectivity via Socket.IO for real-time event streaming
Third-party LLMs: ChatGPT/GPT-4o, Claude AI, Llama, Dialogflow integration through chatbot builder
CRITICAL LIMITATION: No NO Microsoft Teams native integration documented (Slack available, Teams absent)
LIMITATION: Note: Limited iframe embedding - restricted to plugin UI contexts rather than general-purpose chatbox deployment
Embeds easily—a lightweight script or iframe drops the chat widget into any website or mobile app.
Offers ready-made hooks for Slack, Zendesk, Confluence, YouTube, Sharepoint, 100+ more.
Explore API Integrations
Connects with 5,000+ apps via Zapier and webhooks to automate your workflows.
Supports secure deployments with domain allowlisting and a ChatGPT Plugin for private use cases.
Hosted CustomGPT.ai offers hosted MCP Server with support for Claude Web, Claude Desktop, Cursor, ChatGPT, Windsurf, Trae, etc.
Read more here.
Slack /assign-bot command: Assign specific bots to dedicated channels for departmental organization (e.g., IT bot in #it-support, HR bot in #hr-questions)
Free for all users: Native integrations available even on Free plan ($0/month) vs competitors requiring paid tiers or Zapier workarounds
Discord @Cody mentions: Direct mention-based querying within Discord servers for community support or team collaboration
Context preservation: Conversation history maintained within Slack/Discord threads for multi-turn interactions
Competitive advantage: Zero-friction deployment for Slack/Discord workspaces vs API-based integrations requiring developer involvement (7.5/10 rated differentiator)
Use case fit: Internal documentation assistants, IT support bots, HR policy Q&A within existing communication channels
Automatic citation: Every AI response includes links to exact documents used for generation enabling click-through verification
Source verification interface: Centralized conversation logs allow examination of which documents informed each response for audit trails
Trust building: Users can validate AI answers against source material reducing hallucination concerns and increasing adoption confidence
Knowledge gap identification: Responses lacking sufficient sources highlight areas needing additional training data
Compliance advantage: Source traceability supports regulatory requirements for explainable AI in regulated industries (healthcare, finance, legal)
Competitive positioning: Explicit citation vs black-box responses in competitors positions CODY for accuracy-critical use cases (9/10 rated differentiator)
User feedback: Reviews highlight source attribution as primary trust-building feature reducing manual fact-checking burden
N/A
N/A
Focus Mode ( Core Differentiator)
Targeted context injection: Inject up to 1,000 specific documents into single conversation context vs retrieving from full knowledge base
Use cases: Department-specific queries (HR policies for HR team, engineering docs for dev team), project-scoped assistance, client-specific information isolation
Noise reduction: Constrains retrieval to relevant subset preventing irrelevant information from interfering with responses
API support: Focus Mode available via REST API conversations endpoint with document ID array parameter for programmatic control
Performance advantage: Smaller search space improves retrieval speed and relevance vs full-corpus semantic search
Unique capability: Few RAG platforms offer explicit context scoping at this granularity - most retrieve from entire knowledge base (8.5/10 rated differentiator)
N/A
N/A
Core Chatbot Features
Multilingual support: Build and interact with chatbots in any language with no language restrictions or translation layers
Conversation memory: Context retention with configurable token distribution (e.g., 70% context, 10% history, 20% response) for multi-turn interactions
Conversation history logging: Centralized interface with filtering by bot or date range, tiered retention (14 days Basic, 30 days Premium, 90 days Advanced)
Conversational Interface: Securely upload documents (PowerPoints, PDFs) or crawl entire websites to build company-specific knowledge base and quickly retrieve precise information
Traceable Source Attribution: Every answer comes with traceable sources letting users verify accuracy and track where specific information originated
Prompt templates: Shareable custom prompts with variables across team members for consistent bot behavior
Conversation sharing: Share conversations with team via dedicated sharing option for collaboration and quality review
Scratchpad feature: Save, refine, and use derivatives of AI-generated responses to improve specificity over time with micro-management capabilities
Bot Personality Customization: Complete control over bot personality and description to define how bot presents itself and engages with users when creating new bot
LIMITATION: No NO native lead capture - requires custom implementation via API or Zapier workflows (vs built-in form capture in competitors)
LIMITATION: No NO automated human handoff - escalation achieved only through prompt engineering with manual contact info (no automated queue routing or agent assignment)
LIMITATION: Note: Basic analytics only - conversation logs and usage monitoring without advanced dashboards for funnel analysis or trend identification
Chatbot builder 4 AI actions: MagicReply (generated responses from training data), Search Helpdesk (AI) (knowledge base articles), Search Webpages (AI) (crawled content), Search Answer (AI) (Q&A snippets)
Confidence threshold system: Each AI action supports configurable thresholds to balance accuracy vs. coverage and reduce hallucinations
Multi-lingual support: Automatic language detection from browser settings, phone number prefixes, account preferences with chatbot block translation across locales
Conversational Workflow Builder: Tailor-made workflow builder empowering companies to customize chatbot behavior and responses to align with unique customer service strategy
Event-Driven Conversation Flow: Each scenario starts with Event (starts flow), Actions (send message, update user info), Conditions (if-then checks for personalization), Exits (forward/end conversation)
Chatbot personality: Custom prompts define tone and behavior, bot name customization, composition animations for human-like feel, brand voice alignment - personalities should never change, moods remain even and predictable
System Prompt Control: Advanced options allow shaping personality via instructions like "You are a very patient instructor" to guide MagicReply behavior
Human handoff capabilities: Seamless bot-to-agent transitions, 2-minute "Awaiting Operator" timeout detection, operator assignment/mentions within flows, routing rules, full conversation context
Co-browsing (MagicBrowse): Live assistance capability for complex support scenarios enabling screen sharing and guided troubleshooting
LIMITATION: No NO programmatic personality management - tone/behavior settings dashboard-only, cannot modify per-user or via API (global configuration only)
Reduces hallucinations by grounding replies in your data and adding source citations for transparency.
Benchmark Details
Handles multi-turn, context-aware chats with persistent history and solid conversation management.
Speaks 90+ languages, making global rollouts straightforward.
Includes extras like lead capture (email collection) and smooth handoff to a human when needed.
Widget Customization & White- Labeling
Header customization: Layout alignment, business logo upload, color schemes, title and subtitle text configuration
Chat interface styling: Message bubble size, background colors, bot and human avatar customization
Composer controls: Placeholder text customization, send button icon selection
Full translation support: Widget UI fully translatable to any language for global deployment consistency
White-labeling (Premium/Advanced): Complete CODY branding removal requires Premium ($99/month) or Advanced ($249/month) - not available on Free/Basic tiers
LIMITATION: No NO domain restriction capabilities documented - cannot limit widget usage to specific domains (security consideration for production deployments)
LIMITATION: Role-based access includes team member limits by tier (3/10/30 members on Basic/Premium/Advanced) with per-chatbot permission enforcement
UI customization: Colors, branding, positioning, custom triggers per page, proactive messages with personalization tokens
A/B testing: Placement and copy testing for optimization of engagement and conversion rates
White-labeling (Plus €295/month): Remove "We run on Crisp" watermark, custom email domains, custom Knowledge Base domains
LIMITATION: Note: Advanced CSS customization capabilities unclear in documentation - platform favors preset options over deep styling control (vs competitors with full CSS access)
LIMITATION: Domain restrictions for widget deployment not explicitly documented - likely exist but transparency gap for security configuration
N/A
L L M Model Options
Basic plan: GPT-3.5 Turbo only (1 credit per query)
Enterprise plan: Six LLM providers - Llama 3.1, Claude 3.5 Sonnet, GPT-4o, Gemini 1.5, Mixtral-8x7B, GPT-3.5 Turbo
Credit-based consumption: GPT-3.5 Turbo (1 credit), GPT-3.5 16K (5 credits), GPT-4 (10 credits) per query with transparent per-model costs
API model field: REST API returns 'model' field indicating which LLM generated each response for tracking and analysis
Proprietary optimizations: Scratchpad (micro-managing responses), Template Mode (pre-defined prompts), Reverse Vector Search (merging AI and user responses for relevance)
LIMITATION: No NO automatic model routing - users must manually select models, no dynamic routing based on query complexity or cost optimization (vs intelligent routing in competitors)
LIMITATION: Enterprise-only access to advanced models (Claude 3.5, Gemini 1.5, Llama 3.1) locks out SMBs on lower tiers from latest LLM capabilities
Proprietary Mirage AI model: Retrained November 2024 with 10x more data as foundation, leverages leading open-source LLMs
Third-party integrations: ChatGPT/GPT-4o, Claude AI, Llama, Dialogflow through chatbot builder
Mirage reranking model: Proprietary optimization mentioned but technical details undisclosed
CRITICAL LIMITATION: No Model selection and routing happen exclusively in dashboard - NO API endpoint to switch between models programmatically
LIMITATION: No NO automatic model routing based on query complexity or cost vs. performance optimization (vs intelligent routing in RAG platforms)
LIMITATION: No NO exposed configuration for developers - cannot programmatically adjust AI behavior, model selection, or fine-tune responses via API
LIMITATION: No NO documented proprietary optimizations beyond confidence threshold settings and "10x more training data" claim for Mirage (transparency gap)
Taps into top models—OpenAI’s GPT-5.1 series, GPT-4 series, and even Anthropic’s Claude for enterprise needs (4.5 opus and sonnet, etc ).
Automatically balances cost and performance by picking the right model for each request.
Model Selection Details
Uses proprietary prompt engineering and retrieval tweaks to return high-quality, citation-backed answers.
Handles all model management behind the scenes—no extra API keys or fine-tuning steps for you.
Developer Experience ( A P I & S D Ks)
REST API v1.0: Comprehensive with Bearer token authentication, last updated May 2024
Bots endpoint: List bots with keyword filtering for discovery and management
Conversations endpoint: Full CRUD operations with Focus Mode parameter (inject specific document IDs into context)
Messages endpoint: Send/receive with optional SSE streaming for real-time responses and progressive answer display
Documents endpoint: Upload files (up to 100MB max), create from text/HTML, import webpages programmatically
Folders endpoint: Organizational structure management for knowledge base hierarchy
Uploads endpoint: AWS S3 signed URLs for direct file uploads bypassing API size limits
Rate limiting: Standard headers (x-ratelimit-limit, x-ratelimit-remaining, x-ratelimit-reset, retry-after) with limits viewable in account settings
API changelog: Tracks breaking changes with explicit "Breaking" labels for version management
CRITICAL LIMITATION: No NO official SDKs for Python, JavaScript, Node.js, or any language - all integrations require direct REST API calls (development friction)
LIMITATION: No NO webhook functionality explicitly documented - limits event-driven architectures and real-time notification patterns
LIMITATION: Documentation quality functional but limited - clear endpoint docs with curl examples and response schemas but lacking tutorials, cookbooks, comprehensive code samples
REST API capabilities: Comprehensive conversation management (create/get/delete/send messages with 8+ message types including text, files, audio, carousels), People/CRM CRUD with bulk CSV import and custom data fields, Helpdesk API with full CRUD for localized articles and multi-locale support (ISO 639-1 codes)
Official SDKs (5 languages): Node.js (crisp-api on npm - actively maintained, designated "baseline"), Go (go-crisp-api - actively maintained), PHP/Python/Ruby (lag behind with 2023 API revisions)
Mobile SDKs: iOS (Swift), Android (Java), React Native for native app integration
Authentication: Basic Auth with token identifier/key pairs, user tokens and plugin tokens with granular scopes
Rate limiting: Multi-level (per-IP and per-user identifier), HTTP 429 or 420 on limit hits, plugin tokens exempt from per-minute limits but use daily quotas, specific limits undisclosed by design
Webhook support: Website Hooks (simple setup, limited events) + Plugin Hooks (50+ event namespaces, signed payloads, retry on failure)
RTM API: WebSocket connectivity via Socket.IO for real-time event streaming
CRITICAL LIMITATION: No NO API to create or manage bots programmatically - chatbots configured exclusively via dashboard's no-code builder (API documentation explicitly states this)
CRITICAL LIMITATION: No NO vector store endpoints, NO embedding generation API, NO semantic search API, NO context retrieval endpoint, NO prompt template management API
CRITICAL LIMITATION: No NO AI usage metrics exposure via API - all analytics dashboard-only without programmatic access
LIMITATION: No Cannot trigger AI responses or query knowledge base via API - workflows can send messages with automated: true flag but cannot invoke AI processing programmatically
LIMITATION: Enterprise scaling documentation minimal - no SLA guarantees in public docs, no specified throughput limits, user reports mention rate limiting under heavy API usage
Ships a well-documented REST API for creating agents, managing projects, ingesting data, and querying chat.
API Documentation
Backs you up with cookbooks, code samples, and step-by-step guides for every skill level.
R A G Implementation & Accuracy
TRUE RAG architecture: Pinecone vector database (SOC 2 Type II certified) with Amazon S3 document storage and SSE-S3 encryption
Dynamic chunking: Algorithm adjusts chunk size based on token distribution for optimal retrieval (specific parameters not publicly documented)
Relevance Score configuration: Adjustable trade-off between accuracy and completeness for retrieval tuning
Token Distribution control: Split configuration between context, history, and response (e.g., 70% context, 10% history, 20% response) for resource allocation
Persist Prompt feature: Continuous re-emphasis of system prompt for instruction compliance and behavior consistency
Reverse Vector Search: Proprietary technique merging AI and user responses for improved relevance matching
Creativity Settings: Options for "creative," "balanced," or "factual" outputs controlling temperature and generation style
Hallucination mitigation: Source citation with every response enables verification, Focus Mode constrains responses to specific documents reducing irrelevant injection
LIMITATION: No NO published benchmark results or quantitative accuracy metrics - no public validation of RAG performance claims vs competitors
LIMITATION: User reviews note "accuracy relies heavily on the quality of uploaded documents" with occasional struggles reported about document facts
CRITICAL ARCHITECTURAL GAP: No NOT a RAG-as-a-Service platform - lacks vector databases, embedding controls, and configurable retrieval pipelines
AI Hub training sources: Knowledge base articles, crawled web content, conversation history, Q&A snippets processed through opaque system
Confidence scoring: Adjustable thresholds across 4 AI search actions with fallback branches when AI cannot find relevant information
Hallucination prevention: Relies on confidence threshold system and AI's trained behavior to admit uncertainty (no citation attribution or source verification)
CRITICAL LIMITATION: No NO RAG-specific technical details documented - chunking strategies, embedding model specifications, vector database architecture, retrieval algorithm details undisclosed
LIMITATION: No NO reranking methodology documentation beyond mention of "Mirage reranking model" (transparency gap vs RAG platforms)
LIMITATION: No NO benchmark results for accuracy in public documentation - no quantitative validation of RAG performance claims
LIMITATION: No NO mechanism for developers to inject context, provide examples, or fine-tune retrieval behavior programmatically
Competitive positioning: Customer messaging platform with practical AI assistance vs purpose-built RAG infrastructure (rated 2/10 as RAG platform - fundamentally different architecture)
N/A
Performance & Accuracy
Response time: Sub-500ms end-to-end latency target for typical queries on Premium/Advanced plans using GPT-3.5 Turbo (verified from user reports and platform specifications)
Accuracy metrics: No publicly published accuracy benchmarks or F1 scores; user reviews on G2 (4.7/5 stars, 150+ reviews) and Capterra (4.8/5, 50+ reviews) report generally high satisfaction with answer quality when knowledge base is well-curated
Scalability: AWS infrastructure with isolated Kubernetes containers on Enterprise plan supports high-volume deployments; Free plan supports 250 queries/month, scales to "unlimited" on Enterprise with custom infrastructure
Reliability: No public SLA or uptime guarantees on Free/Basic/Premium/Advanced plans; Enterprise plan offers SLA guarantees with dedicated infrastructure (specific uptime % requires sales engagement)
Benchmarks: No published performance benchmarks comparing retrieval speed, accuracy, or latency against competitors (ChatBase, Vectara, CustomGPT); users report "accuracy relies heavily on quality of uploaded documents" with occasional struggles on complex queries
Quality indicators: Source attribution feature enables verification of AI responses; G2 reviews highlight accuracy as strength when knowledge base is comprehensive, with some users noting need for careful prompt engineering
Confidence threshold system: Adjustable thresholds across 4 AI actions to balance accuracy vs. coverage and reduce hallucinations
Uncertainty admission: AI explicitly states when it cannot find relevant information rather than fabricating responses
Multi-lingual accuracy: Automatic language detection with real-time translation for global support consistency
Mirage AI improvements: November 2024 retrain with 10x more data for enhanced response quality
LIMITATION: Some reports of throttling or lag under heavy traffic with integrations or bots facing high volume
LIMITATION: Occasional delays in mobile notifications reported (not widespread)
LIMITATION: API usage quotas exist - enterprise scaling documentation minimal with no SLA guarantees in public docs
LIMITATION: No benchmark results for accuracy published - no quantitative validation of RAG performance claims
LIMITATION: No mechanism to programmatically inject context or fine-tune retrieval behavior for improved accuracy
Delivers sub-second replies with an optimized pipeline—efficient vector search, smart chunking, and caching.
Independent tests rate median answer accuracy at 5/5—outpacing many alternatives.
Benchmark Results
Always cites sources so users can verify facts on the spot.
Maintains speed and accuracy even for massive knowledge bases with tens of millions of words.
Customization & Branding
UI customization: Full widget customization including header layout alignment, message bubble size/colors, background colors, bot and human avatars, composer placeholder text, send button icons
Branding control: Business logo upload, color schemes (header, chat interface, launcher button), title and subtitle text configuration, full translation support for widget UI in any language
White-labeling: Complete removal of Cody branding available on Premium ($99/month) and Advanced ($249/month) plans; Free and Basic plans display Cody branding on widgets
Custom domain: Not explicitly documented in public materials; likely requires Enterprise plan with custom deployment infrastructure (specifics require sales engagement)
Design flexibility: Launcher configuration with size adjustment, screen position (left/right/bottom), custom launcher icons; three embedding methods (shareable links, inline embeds, popup embeds) for flexible deployment
Mobile customization: Responsive widget design adapts to mobile devices; mobile-specific branding controls not separately documented (inherits desktop configuration)
LIMITATION: No documented domain restriction capabilities to limit widget usage to specific domains (security consideration for production deployments)
Role-based access: Team member limits by tier (3/10/30 members on Basic/Premium/Advanced) with per-chatbot permission enforcement and real-time updates
UI customization: Colors, branding, positioning, custom triggers per page, proactive messages with personalization tokens
Widget white-labeling (Plus €295/month): Remove "We run on Crisp" watermark, custom email domains, custom Knowledge Base domains
Chatbot personality: Custom prompts define tone and behavior, bot name customization, composition animations for human-like feel, brand voice alignment
A/B testing: Placement and copy testing for optimization of engagement and conversion rates
Multi-lingual support: Automatic language detection from browser settings, phone number prefixes, account preferences with chatbot block translation across locales
Domain allowlisting: Control where widget appears for security and brand protection
LIMITATION: Advanced CSS customization capabilities unclear - platform favors preset options over deep styling control (vs competitors with full CSS access)
LIMITATION: Domain restrictions for widget deployment not explicitly documented - transparency gap for security configuration
LIMITATION: Programmatic personality management absent - tone/behavior settings dashboard-only, cannot modify per-user or via API (global configuration only)
Fully white-labels the widget—colors, logos, icons, CSS, everything can match your brand.
White-label Options
Provides a no-code dashboard to set welcome messages, bot names, and visual themes.
Lets you shape the AI’s persona and tone using pre-prompts and system instructions.
Uses domain allowlisting to ensure the chatbot appears only on approved sites.
No- Code Interface & Usability
Visual builder: Three-step bot creation process - (1) add data to knowledge base, (2) define bot purpose/personality, (3) test and share; no drag-and-drop interface, but prompt engineering UI with visual prompt builder including variables and template sharing
Setup complexity: 15-minute bot deployment from account creation to live widget (verified from marketing materials and user reviews); no technical expertise required for basic deployment
Learning curve: User reviews on G2 note "easy to set up" with "intuitive interface," but some users report learning curve for customizing bots to specific business needs despite no-code design; Capterra reviews highlight quick adoption for non-technical teams
Pre-built templates: 11+ templates including Marketing Assistant, HR Chatbot, IT Support, Customer Support, Sales Assistant, Training Bot, Translator AI, Hiring Assistant; each template includes sample prompts, recommended knowledge base content, and example queries
No-code workflows: Model switching (GPT-3.5/GPT-4/Claude/Gemini) without technical reconfiguration; conversation sharing and scratchpad feature for response refinement; testing simulator for pre-launch validation
User experience: G2 rating 4.7/5 (150+ reviews), Capterra 4.8/5 (50+ reviews); users praise ease of deployment and source attribution, note occasional need for prompt engineering expertise to optimize bot behavior
LIMITATION: No drag-and-drop conversation flow builder or visual automation designer like Botpress/Voiceflow; focuses on prompt-based configuration rather than graphical flow design
Wizard-style setup: Guided configuration for data sources, AI training, widget embedding
LIMITATION: Pre-built templates limited - no industry-specific templates (e-commerce, SaaS support, lead qualification) out of box (7/10 rated - functional but requires customization effort)
LIMITATION: Setting up automated workflows can take time for users unfamiliar with automation tools
LIMITATION: While no-code, lacks advanced AI-powered features found in dedicated chatbot platforms like Intercom or Drift
Offers a wizard-style web dashboard so non-devs can upload content, brand the widget, and monitor performance.
Supports drag-and-drop uploads, visual theme editing, and in-browser chatbot testing.
User Experience Review
Uses role-based access so business users and devs can collaborate smoothly.
Security & Privacy
CRITICAL LIMITATION: No CODY itself NOT SOC 2 certified - Help Center explicitly states "As an early stage startup, we are diligently working towards earning SOC 2 compliance"
Infrastructure compliance: Pinecone vector database (SOC 2 Type II certified), AWS S3 (PCI-DSS, HIPAA/HITECH, FedRAMP, FISMA compliant via AWS certification)
GDPR Compliant: Via AWS infrastructure in EU regions for European data residency and privacy requirements
Document storage: Amazon S3 with SSE-S3 encryption protocol for data at rest, TLS for transit
AI training policy: Customer data explicitly NOT used for training - "Your data will not be used to train any existing or new language model"
OpenAI data retention: API policy ensures data retained maximum 30 days for abuse monitoring only (not for model training)
Access controls: Per-chatbot permissions with real-time updates, API key management, role-based team member access
Enterprise security: Isolated Kubernetes containers on AWS with role-based security and custom infrastructure options
Procurement concern: Lack of direct SOC 2 certification may block enterprise adoption in regulated industries requiring vendor compliance attestations
CRITICAL LIMITATION: No SOC 2 certification notably absent - Crisp claims compliance with SOC 2 principles but has NOT completed formal audit (enterprise procurement blocker)
GDPR Compliant: Full compliance as French company (Crisp IM SAS) with Data Processing Agreements available and EU data storage
EU data residency: Messaging data stored in Netherlands, plugin data stored in Germany for European privacy requirements
Encryption: All public network channels encrypted, real-time chat encrypted in transit
Infrastructure security: Hardware token generators, aggressive firewalls, network isolation, VPN-only administrator access, bug bounty program for security researchers
Two-factor authentication: Available for user accounts with identity verification support
Workspace-level data isolation: Customer separation but not tenant-isolated in enterprise sense
Privacy features: Deferred session initialization until user interaction for minimal data collection
Uptime SLA: Historically exceeds 99.99% (>99.9945% reported for 2019) with public status page for transparency
LIMITATION: No NO HIPAA certification, No NO ISO 27001 certification - limits adoption in regulated industries (healthcare, financial services)
Protects data in transit with SSL/TLS and at rest with 256-bit AES encryption.
Holds SOC 2 Type II certification and complies with GDPR, so your data stays isolated and private.
Security Certifications
Offers fine-grained access controls—RBAC, two-factor auth, and SSO integration—so only the right people get in.
Observability & Monitoring
Conversation logs: Centralized view of all interactions across interface, API, and website widgets with searchability
Filtering capabilities: By bot or date range for quick access to specific conversation subsets
Source verification: Click-through to examine exact documents used for each response enabling audit trails
Usage tracking: Real-time credit consumption monitoring in dedicated usage tab for cost management
Tiered log retention: 14 days (Basic), 30 days (Premium), 90 days (Advanced) - historical analysis constrained on lower plans
Third-party mentions: Usage pattern monitoring, performance metrics, common question tracking, knowledge gap identification (features lack detailed public documentation)
LIMITATION: Note: Advanced analytics dashboard features mentioned in sources lack public screenshots or comprehensive documentation (transparency gap)
LIMITATION: No NO real-time alerting for conversation volume spikes, error rates, or performance degradation
LIMITATION: No NO funnel analytics or conversion tracking for lead generation use cases
Analytics dashboard: Response time metrics, customer satisfaction scores, bot handoff rates, day-by-day support performance tracking
Advanced analytics (Plus plan): Enhanced metrics and reporting capabilities for deeper performance insights
Conversation logs: AI-user exchange review with ability to refine responses and identify knowledge gaps
Real-time monitoring: Conversation flow visibility for operators with queue status tracking
CRITICAL LIMITATION: No NO analytics API - all metrics dashboard-only, cannot programmatically pull performance data or export usage statistics
LIMITATION: No People Statistics endpoint provides only basic counts - no comprehensive analytics API for integration with external observability systems
LIMITATION: No Proactive alerting capabilities not documented - unclear support for monitoring platform integrations (DataDog, PagerDuty, etc.)
LIMITATION: No NO integration with external monitoring platforms appears in integration list (self-contained analytics only)
Comes with a real-time analytics dashboard tracking query volumes, token usage, and indexing status.
Lets you export logs and metrics via API to plug into third-party monitoring or BI tools.
Analytics API
Provides detailed insights for troubleshooting and ongoing optimization.
15-minute bot deployment: Three-step process - (1) add data to knowledge base, (2) define bot purpose/personality, (3) test and share
11+ pre-built templates: Marketing Assistant, HR Chatbot, IT Support, Customer Support, Sales Assistant, Training Bot, Translator AI, Hiring Assistant
Template components: Sample prompts, recommended knowledge base content, example queries for rapid deployment
Model-agnostic interface: Switch between GPT-3.5, GPT-4, Claude, Gemini without technical reconfiguration
Prompt engineering UI: Visual prompt builder with variables, template sharing across team members, version control
Testing simulator: Test bot responses before publishing with conversation preview and refinement loops
Role-based access: Team member limits (3/10/30 by tier), per-chatbot permission enforcement, real-time permission updates
Target audience advantage: Business teams deploy knowledge assistants without developer resources vs API-centric platforms requiring technical expertise (9/10 rated differentiator for non-technical users)
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Proprietary R A G Optimizations ( Differentiator)
Scratchpad: Save, refine, and use derivatives of AI-generated responses to improve specificity through micro-management and iterative enhancement
Template Mode: Pre-defined prompts with variables for consistent behavior patterns across conversations and use cases
Reverse Vector Search: Proprietary technique merging AI responses and user inputs for improved relevance matching and context awareness
Dynamic chunking: Algorithm adjusts chunk size based on token distribution rather than fixed-size chunks (adaptive optimization)
Persist Prompt: Continuous re-emphasis of system prompt throughout conversation preventing instruction drift in long conversations
Creativity Settings: Granular control over "creative," "balanced," or "factual" outputs for use-case-specific tone adjustment
Competitive positioning: Proprietary optimizations differentiate from standard RAG implementations but lack published performance benchmarks (7/10 rated differentiator)
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Pricing & Scalability
Free plan: $0/month - 100 credits, 100 documents, 1 team member, 1 widget, NO API access, NO crawler, monthly query limit 250
Basic plan: $29/month - 2,500 credits, 1,000 documents, 3 team members, 14-day conversation logs, API access, GPT-3.5 only
Alternative pricing model: $95/month base + $45/month AI add-on + $0.10 per AI action (escalates costs at high volume)
Extra seats (Plus): €10/agent/month for additional team members
14-day free trials: All paid plans include trial period for evaluation
Per-workspace model: No per-conversation fees on base usage benefits predictable budgeting (vs per-message pricing competitors)
CONCERN: Note: AI usage caps on Essentials (50 uses/month at €95) create barriers for teams needing significant automation - unlimited requires €295 Plus tier
Runs on straightforward subscriptions: Standard (~$99/mo), Premium (~$449/mo), and customizable Enterprise plans.
Gives generous limits—Standard covers up to 60 million words per bot, Premium up to 300 million—all at flat monthly rates.
View Pricing
Handles scaling for you: the managed cloud infra auto-scales with demand, keeping things fast and available.
Support & Ecosystem
API documentation: developers.meetcody.ai with endpoint reference, curl examples, response schemas, API changelog with breaking change labels
Help Center: intercom.help/cody/en/ with getting started guides, compliance information, security bulletins
Active Discord community: Peer support and user knowledge sharing for troubleshooting and best practices
Email support: support@meetcody.ai for all users across all plans
Blog: Tutorials and guides for use case implementation and platform features
Advanced plan: Dedicated account manager for onboarding and optimization guidance
Enterprise SLA: Guaranteed response times and uptime commitments (specifics require sales engagement, not publicly documented)
LIMITATION: No NO phone support available on any tier (email and community only)
LIMITATION: No NO live chat support documented for real-time assistance
Documentation quality: Functional but limited - clear endpoint docs and response schemas but lacking tutorials, cookbooks, comprehensive code samples for advanced implementations
User feedback: Reviews note learning curve for customizing bots to specific business needs despite no-code interface
Developer Hub: Comprehensive documentation at docs.crisp.chat with REST API references, RTM API guides, webhook setup, SDK installation guides, Postman collections
Chappe documentation builder: 228 GitHub stars - powers docs site demonstrating technical investment in documentation infrastructure
Chat-based support: Generally praised for responsiveness with direct chat access to support team
Enhanced support (Plus): Higher tier plans receive prioritized assistance and faster response times
Bootstrapped team: 14-20 employees handle global customer base of 600,000+ businesses
Code examples: Available in official SDKs but real-world cookbook content sparse vs comprehensive tutorial libraries
LIMITATION: No NO public forum for developer knowledge sharing and community troubleshooting
LIMITATION: No Minimal GitHub community engagement - most repositories show single-digit external contributors indicating limited open-source collaboration
LIMITATION: No NO dedicated account management details specified for Enterprise customers (unclear what personalized support includes)
LIMITATION: Developer community engagement happens primarily through marketplace plugin development rather than open collaboration on core platform
Supplies rich docs, tutorials, cookbooks, and FAQs to get you started fast.
Developer Docs
Offers quick email and in-app chat support—Premium and Enterprise plans add dedicated managers and faster SLAs.
Enterprise Solutions
Benefits from an active user community plus integrations through Zapier and GitHub resources.
R A G-as-a- Service Assessment
Platform classification: TRUE RAG-as-a-Service platform with Pinecone vector database, dynamic chunking, and configurable retrieval parameters
Architecture validation: Amazon S3 (document storage) + Pinecone (embeddings) + multi-LLM support confirms genuine RAG implementation vs chatbot platforms
Target audience: Business teams needing no-code deployment with 15-minute bot creation vs developer-centric platforms requiring technical expertise
Enterprise considerations: Lack of direct SOC 2 certification (infrastructure-partner-only compliance) may block regulated industry adoption requiring vendor attestations
Developer experience: Comprehensive REST API with SSE streaming but NO official SDKs requiring direct HTTP calls vs SDK-equipped platforms
Competitive positioning: Business-focused RAG platform emphasizing no-code deployment and source transparency vs developer-centric platforms with enterprise compliance (rated 7.5/10 as RAG platform)
Platform classification: CUSTOMER MESSAGING PLATFORM with AI features layered on top, NOT a dedicated RAG-as-a-Service solution
Architecture philosophy: Designed for unified customer communication with AI assistance, not custom AI application building
Target audience: SMBs wanting affordable customer messaging with AI-powered agent productivity vs developers requiring RAG infrastructure control
Missing RAG foundations: NO vector store endpoints, NO embedding APIs, NO semantic search endpoints, NO programmatic knowledge querying, NO bot management API
Use case fit: Excellent for businesses wanting to USE AI-powered customer support; does NOT serve developers wanting to BUILD custom RAG applications
Competitive positioning: Mature customer messaging platform (600,000+ businesses) competing with Intercom/Zendesk vs RAG platforms like Vectara/Pinecone Assistant (rated 2/10 as RAG platform - fundamentally different category)
Strengths alignment: Omnichannel messaging, EU data residency, affordable SMB pricing, visual no-code builders, MagicReply agent productivity
Critical gaps for RAG: NO programmatic knowledge querying, NO vector/embedding infrastructure, NO bot management API, NO cloud storage ingestion, NO model selection API, NO analytics API
Core Architecture: Serverless RAG infrastructure with automatic embedding generation, vector search optimization, and LLM orchestration fully managed behind API endpoints
API-First Design: Comprehensive REST API with well-documented endpoints for creating agents, managing projects, ingesting data (1,400+ formats), and querying chat
API Documentation
Developer Experience: Open-source Python SDK (customgpt-client), Postman collections, OpenAI API endpoint compatibility, and extensive cookbooks for rapid integration
No-Code Alternative: Wizard-style web dashboard enables non-developers to upload content, brand widgets, and deploy chatbots without touching code
Hybrid Target Market: Serves both developer teams wanting robust APIs AND business users seeking no-code RAG deployment - unique positioning vs pure API platforms (Cohere) or pure no-code tools (Jotform)
RAG Technology Leadership: Industry-leading answer accuracy (median 5/5 benchmarked), 1,400+ file format support with auto-transcription, proprietary anti-hallucination mechanisms, and citation-backed responses
Benchmark Details
Deployment Flexibility: Cloud-hosted SaaS with auto-scaling, API integrations, embedded chat widgets, ChatGPT Plugin support, and hosted MCP Server for Claude/Cursor/ChatGPT
Enterprise Readiness: SOC 2 Type II + GDPR compliance, full white-labeling, domain allowlisting, RBAC with 2FA/SSO, and flat-rate pricing without per-query charges
Use Case Fit: Ideal for organizations needing both rapid no-code deployment AND robust API capabilities, teams handling diverse content types (1,400+ formats, multimedia transcription), and businesses requiring production-ready RAG without building ML infrastructure from scratch
Competitive Positioning: Bridges the gap between developer-first platforms (Cohere, Deepset) requiring heavy coding and no-code chatbot builders (Jotform, Kommunicate) lacking API depth - offers best of both worlds
Competitive Positioning
vs CustomGPT: CODY excels in no-code deployment and source attribution; CustomGPT excels in enterprise compliance (direct SOC 2) and official SDKs
vs Vectara: CODY offers simpler pricing and no-code interface; Vectara provides enterprise-grade accuracy benchmarks and HHEM hallucination detection
vs Pinecone Assistant: Both use Pinecone vector database; CODY differentiates with Focus Mode and business templates; Pinecone Assistant offers deeper infrastructure control
vs ChatBase/SiteGPT: CODY provides TRUE RAG architecture vs simpler chatbot platforms; Focus Mode and multi-LLM support vs single-model implementations
Market niche: Business-focused RAG platform for teams needing no-code deployment with source transparency, NOT developer tool requiring technical implementation
vs CustomGPT: Crisp excels in omnichannel customer messaging with AI assistance; CustomGPT excels in RAG-as-a-Service infrastructure with programmatic control
vs Intercom/Zendesk: Crisp competes directly in customer messaging space with comparable features, lower pricing (€295 vs $500+/month), EU data residency advantage
vs LiveChat/Drift: Similar customer communication focus with Crisp differentiating on proprietary Mirage AI model and WhatsApp Official Business Solution Provider status
vs RAG platforms (Vectara, Pinecone Assistant, Ragie): Fundamentally different category - Crisp not designed for RAG development, lacks vector databases and programmatic knowledge retrieval entirely
Market niche: Mature customer messaging platform for SMBs wanting affordable omnichannel communication with AI assistance, NOT a RAG alternative for knowledge retrieval applications
Market position: Leading all-in-one RAG platform balancing enterprise-grade accuracy with developer-friendly APIs and no-code usability for rapid deployment
Target customers: Mid-market to enterprise organizations needing production-ready AI assistants, development teams wanting robust APIs without building RAG infrastructure, and businesses requiring 1,400+ file format support with auto-transcription (YouTube, podcasts)
Key competitors: OpenAI Assistants API, Botsonic, Chatbase.co, Azure AI, and custom RAG implementations using LangChain
Competitive advantages: Industry-leading answer accuracy (median 5/5 benchmarked), 1,400+ file format support with auto-transcription, SOC 2 Type II + GDPR compliance, full white-labeling included, OpenAI API endpoint compatibility, hosted MCP Server support (Claude, Cursor, ChatGPT), generous data limits (60M words Standard, 300M Premium), and flat monthly pricing without per-query charges
Pricing advantage: Transparent flat-rate pricing at $99/month (Standard) and $449/month (Premium) with generous included limits; no hidden costs for API access, branding removal, or basic features; best value for teams needing both no-code dashboard and developer APIs in one platform
Use case fit: Ideal for businesses needing both rapid no-code deployment and robust API capabilities, organizations handling diverse content types (1,400+ formats, multimedia transcription), teams requiring white-label chatbots with source citations for customer-facing or internal knowledge projects, and companies wanting all-in-one RAG without managing ML infrastructure
Customer Base & Case Studies
Scale claim: 100,000+ businesses served (unverified, company-provided claim)
Acquisition: Acquired by Just Build It in May 2024 demonstrating market validation and growth trajectory
Use case examples: Customer support automation, HR policy Q&A, IT support documentation, sales enablement, internal knowledge management, training assistants
Target market: SMBs and mid-market companies seeking knowledge base automation without dedicated AI/ML engineering resources
User feedback themes: Ease of deployment praised, source attribution valued for trust, accuracy concerns noted for complex document sets
Common use cases: "AI virtual employee" positioning for customer support, HR, IT support, sales assistance, marketing, training, and hiring workflows
Scale: 600,000+ businesses served globally demonstrating mature product-market fit for customer messaging segment
Bootstrapped success: $1.4M revenue in 2024 as bootstrapped company (no external funding) validates sustainable business model
Geographic distribution: Global customer base with strong European presence due to EU data residency and GDPR compliance
Target market: SMBs seeking affordable Intercom alternatives with unified customer communication across channels
Use case validation: Customer support teams, e-commerce businesses, SaaS companies using omnichannel messaging with AI assistance
WhatsApp validation: Official Business Solution Provider status demonstrates platform quality and enterprise-grade integration capabilities
Uptime track record: >99.9945% reported uptime in 2019 demonstrates operational reliability at scale
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Company Background
Acquisition: Acquired by Just Build It in May 2024 (acquisition terms undisclosed)
Credit-Based Consumption: GPT-3.5 Turbo (1 credit), GPT-3.5 16K (5 credits), GPT-4 (10 credits) per query with transparent per-model costs
Model-Agnostic Architecture: Users stay current with latest LLM updates without retraining bots; bring your own API key for supported LLMs (Claude, Mistral, GPT, Gemini)
Claude 3 Default: Defaults to Claude 3 from Anthropic for code generation, autocomplete, and chat features vs competitors relying solely on GPT models
LIMITATION: No automatic model routing based on query complexity or cost optimization - users must manually select models
Proprietary Mirage AI: Custom-built model retrained November 2024 with 10x more training data, leverages leading open-source LLMs as foundation
Third-party integrations: ChatGPT/GPT-4o, Claude AI, Llama, Dialogflow accessible through chatbot builder
LIMITATION: Model selection dashboard-only - no API endpoint for programmatic switching between models
LIMITATION: No automatic model routing based on query complexity or cost optimization
LIMITATION: No exposed configuration for developers to adjust AI behavior or fine-tune responses via API
Primary models: GPT-5.1 and 4 series from OpenAI, and Anthropic's Claude 4.5 (opus and sonnet) for enterprise needs
Automatic model selection: Balances cost and performance by automatically selecting the appropriate model for each request
Model Selection Details
Proprietary optimizations: Custom prompt engineering and retrieval enhancements for high-quality, citation-backed answers
Managed infrastructure: All model management handled behind the scenes - no API keys or fine-tuning required from users
Anti-hallucination technology: Advanced mechanisms ensure chatbot only answers based on provided content, improving trust and factual accuracy
R A G Capabilities
TRUE RAG Architecture: Pinecone vector database (SOC 2 Type II certified) with Amazon S3 document storage using SSE-S3 encryption protocol
Dynamic Chunking Algorithm: Adjusts chunk size based on token distribution for optimal retrieval performance (specific parameters not publicly documented)
Relevance Score Configuration: Adjustable trade-off between accuracy and completeness for retrieval tuning
Token Distribution Control: Split configuration between context, history, and response (e.g., 70% context, 10% history, 20% response)
Reverse Vector Search: Proprietary technique merging AI and user responses for improved relevance matching
Context Window: Claude 2 integration provides up to 100K context windows for comprehensive codebase analysis
Advanced Chunking: Comprehensive data segmentation including metadata for superior data management across various file formats
LIMITATION: No published benchmark results or quantitative accuracy metrics for RAG performance validation
AI Hub training sources: Knowledge base articles, crawled website content, conversation history, Q&A snippets processed through proprietary system
Confidence scoring system: Adjustable thresholds across 4 AI search actions (MagicReply, Search Helpdesk, Search Webpages, Search Answer) to reduce hallucinations
Hallucination prevention: AI explicitly states when it cannot find relevant information rather than fabricating responses
CRITICAL LIMITATION: NOT a RAG-as-a-Service platform - lacks vector databases, embedding controls, and configurable retrieval pipelines
CRITICAL LIMITATION: No RAG technical details documented - chunking strategies, embedding model specifications, vector database architecture undisclosed
LIMITATION: No reranking methodology documentation beyond mention of "Mirage reranking model"
LIMITATION: No benchmark results for accuracy published - no quantitative validation of RAG performance claims
LIMITATION: No mechanism for developers to inject context, provide examples, or fine-tune retrieval behavior programmatically
Core architecture: GPT-4 combined with Retrieval-Augmented Generation (RAG) technology, outperforming OpenAI in RAG benchmarks
RAG Performance
Anti-hallucination technology: Advanced mechanisms reduce hallucinations and ensure responses are grounded in provided content
Benchmark Details
Automatic citations: Each response includes clickable citations pointing to original source documents for transparency and verification
Optimized pipeline: Efficient vector search, smart chunking, and caching for sub-second reply times
Scalability: Maintains speed and accuracy for massive knowledge bases with tens of millions of words
Context-aware conversations: Multi-turn conversations with persistent history and comprehensive conversation management
Source verification: Always cites sources so users can verify facts on the spot
Use Cases
Primary Departments: Marketing teams (creative strategies, campaign insights), HR departments (employee communication, query management), IT support (technical troubleshooting), Sales departments (AI-driven assistance)
Internal Operations: Answering internal or customer FAQs automatically, training new team members with AI support, generating reports/email replies/summaries using company data, searching thousands of documents instantly
Code Assistance: Engineers saving 5-6 hours per week, writing code 2x faster with AI-powered context-aware code generation and autocomplete
Industries: Financial services (trusted by 4/6 top US banks), technology companies (7/10 top public tech companies), healthcare, professional service firms, government agencies (15+ US agencies)
Team Sizes: Startups managing internal documentation to enterprises coordinating teams across regions; 100,000+ businesses served globally
Educational Use Cases: Educational institutions training students in AI applications, legal firms organizing and retrieving case documents
Customer support automation: Unified inbox across website, email, WhatsApp, Messenger, Instagram, Telegram, Twitter/X, SMS for omnichannel support
Agent productivity: MagicReply AI-suggested responses, conversation summarization, automatic categorization, live translation for international teams
Lead capture and qualification: Proactive chat triggers, visitor tracking, CRM integration with custom data fields
E-commerce support: Product inquiries, order tracking, multi-language customer service across social media and messaging apps
SaaS onboarding: Help desk integration, contextual chat based on page visited, seamless bot-to-human handoff
SMB communication hub: 600,000+ businesses use Crisp as affordable Intercom alternative with EU data residency
NOT suitable for: Custom RAG application development, programmatic knowledge retrieval, developer-facing AI APIs
Customer support automation: AI assistants handling common queries, reducing support ticket volume, providing 24/7 instant responses with source citations
Internal knowledge management: Employee self-service for HR policies, technical documentation, onboarding materials, company procedures across 1,400+ file formats
Sales enablement: Product information chatbots, lead qualification, customer education with white-labeled widgets on websites and apps
Documentation assistance: Technical docs, help centers, FAQs with automatic website crawling and sitemap indexing
Educational platforms: Course materials, research assistance, student support with multimedia content (YouTube transcriptions, podcasts)
Healthcare information: Patient education, medical knowledge bases (SOC 2 Type II compliant for sensitive data)
Two-factor authentication: Available for user accounts with identity verification support
Uptime SLA: Historically exceeds 99.99% (>99.9945% reported for 2019) with public status page
CRITICAL LIMITATION: SOC 2 certification absent - claims compliance with principles but has NOT completed formal audit (enterprise procurement blocker)
LIMITATION: No HIPAA certification, no ISO 27001 certification - limits adoption in regulated industries (healthcare, financial services)
LIMITATION: Workspace-level data isolation but not tenant-isolated in enterprise sense
Encryption: SSL/TLS for data in transit, 256-bit AES encryption for data at rest
SOC 2 Type II certification: Industry-leading security standards with regular third-party audits
Security Certifications
GDPR compliance: Full compliance with European data protection regulations, ensuring data privacy and user rights
Access controls: Role-based access control (RBAC), two-factor authentication (2FA), SSO integration for enterprise security
Data isolation: Customer data stays isolated and private - platform never trains on user data
Domain allowlisting: Ensures chatbot appears only on approved sites for security and brand protection
Secure deployments: ChatGPT Plugin support for private use cases with controlled access
Pricing & Plans
Free Plan: $0/month - 100 credits (250 queries/month), 100 documents, 1 team member, 1 widget, NO API access, NO crawler
Basic Plan: $29/month - 2,500 credits, 1,000 documents, 3 team members, 14-day conversation logs, API access, GPT-3.5 only
Alternative pricing model: $95/month base + $45/month AI add-on + $0.10 per AI action (escalates costs at high volume)
Extra seats (Plus): €10/agent/month for additional team members
14-day free trials: All paid plans include trial period for evaluation
White-labeling cost: Included in Plus plan at €295/month - removes "We run on Crisp" watermark, custom email domains, custom Knowledge Base domains
CONCERN: AI usage caps on Essentials (50 uses/month at €95) create barriers for teams needing significant automation - unlimited requires €295 Plus tier
Standard Plan: $99/month or $89/month annual - 10 custom chatbots, 5,000 items per chatbot, 60 million words per bot, basic helpdesk support, standard security
View Pricing
Premium Plan: $499/month or $449/month annual - 100 custom chatbots, 20,000 items per chatbot, 300 million words per bot, advanced support, enhanced security, additional customization
Enterprise Plan: Custom pricing - Comprehensive AI solutions, highest security and compliance, dedicated account managers, custom SSO, token authentication, priority support with faster SLAs
Enterprise Solutions
7-Day Free Trial: Full access to Standard features without charges - available to all users
Annual billing discount: Save 10% by paying upfront annually ($89/mo Standard, $449/mo Premium)
Flat monthly rates: No per-query charges, no hidden costs for API access or white-labeling (included in all plans)
Managed infrastructure: Auto-scaling cloud infrastructure included - no additional hosting or scaling fees
Support & Documentation
API Documentation: developers.meetcody.ai with endpoint reference, curl examples, response schemas, API changelog with breaking change labels
Help Center: intercom.help/cody/en/ with getting started guides, compliance information, security bulletins
Community Support: Active Discord community for peer support, troubleshooting, and best practices; GitHub discussions for developer engagement
Email Support: support@meetcody.ai available for all users across all plans
Response Times: Generally praised for responsiveness; Advanced plan includes dedicated account manager for onboarding and optimization guidance
Learning Resources: Blog with tutorials and guides for use case implementation and platform features
Enterprise SLA: Guaranteed response times and uptime commitments (specifics require sales engagement, not publicly documented)
LIMITATION: NO phone support or live chat on any tier (email and community only)
Documentation Quality: Functional but limited - clear endpoint docs with response schemas but lacking tutorials, cookbooks, comprehensive code samples for advanced implementations
Developer Hub: Comprehensive documentation at docs.crisp.chat with REST API references, RTM API guides, webhook setup, SDK installation guides, Postman collections
Chappe documentation builder: 228 GitHub stars - powers docs site demonstrating technical investment in documentation infrastructure
Chat-based support: Generally praised for responsiveness with direct chat access to support team
Enhanced support (Plus): Higher tier plans receive prioritized assistance and faster response times
Code examples: Available in official SDKs (Node.js, Go, PHP, Python, Ruby, iOS, Android, React Native) but real-world cookbook content sparse
LIMITATION: No public forum for developer knowledge sharing and community troubleshooting
LIMITATION: Minimal GitHub community engagement - most repositories show single-digit external contributors
LIMITATION: No dedicated account management details specified for Enterprise customers
Documentation hub: Rich docs, tutorials, cookbooks, FAQs, API references for rapid onboarding
Developer Docs
Email and in-app support: Quick support via email and in-app chat for all users
Premium support: Premium and Enterprise plans include dedicated account managers and faster SLAs
Code samples: Cookbooks, step-by-step guides, and examples for every skill level
API Documentation
Real-Time Knowledge Updates: Always available manual retraining for immediate knowledge base updates across all plans
Automatic Syncing: Limited to website sources only with recurring re-imports - not available for uploaded documents
Bot Personality Customization: Create custom conversation starters tailored to specific tasks, adjust behavior, tone, and focus to suit each use case
Focus Mode: Generate highly specialized responses based on selected documents for targeted tasks with up to 1,000 specific documents injected into conversation context
Scratchpad for Fine-Tuning: Fine-tune bot responses and knowledge base interactions improving accuracy and relevance of future responses
Custom Prompts: Define bot purpose and personality during creation with shareable prompt templates across team members
Configurable Token Distribution: Adjust split between context, history, and response (e.g., 70% context, 10% history, 20% response)
LIMITATION: No NO programmatic personality management - tone/behavior settings dashboard-only, cannot modify per-user or via API (global configuration only)
LIMITATION: Knowledge base updates require manual intervention - no real-time sync from cloud sources (Google Drive, Dropbox, Notion) except website crawling
Real-Time Knowledge Updates: Always available manual retraining across all plans - but automatic syncing only for Knowledge Base articles (not website crawls or docs)
Automatic Syncing: Limited to Knowledge Base articles - website crawls require manual refresh requests (NO automatic sync for web content)
Bot Personality Customization: Customize chatbot's personality and responses to cater to different user segments or scenarios enhancing engagement
Consistent Personality Traits: Bot should always communicate and respond in same tone, dialect, and manner - personalities should never change, moods remain even and predictable
System Prompt Customization: Advanced options allow giving instructions to MagicReply to shape personality (e.g., "You are a very patient instructor")
Custom Workflow Automation: Design automated workflows catering to business needs where user interactions dynamically managed based on specific conditions
Keyword-Based Routing: Automatically escalating chats to supervisor based on keyword detection or routing inquiries to appropriate department
Confidence Threshold Control: Each AI action supports configurable thresholds to balance accuracy vs coverage and reduce hallucinations
LIMITATION: No programmatic personality management - tone/behavior settings dashboard-only, cannot modify per-user or via API (global configuration only)
LIMITATION: Training permissions bottleneck - only workspace owners can launch AI training sessions (team bottleneck for larger organizations)
Lets you add, remove, or tweak content on the fly—automatic re-indexing keeps everything current.
Shapes agent behavior through system prompts and sample Q&A, ensuring a consistent voice and focus.
Learn How to Update Sources
Supports multiple agents per account, so different teams can have their own bots.
Balances hands-on control with smart defaults—no deep ML expertise required to get tailored behavior.
Additional Considerations
Accuracy Heavily Data-Dependent: Response quality relies on quality and comprehensiveness of uploaded knowledge base - "accuracy relies heavily on quality of uploaded documents"
Learning Curve Exists: Initial setup and customization can be complex for new users despite "easy to set up" reputation - learning curve for customizing bots to specific business needs
Limited Complex Coding: Performs well for simple tasks but struggles with deeper logic, scalability issues, or nuanced multi-step coding challenges
Data Quality Critical: Occasional struggles with document facts - difficulty counting references, performing word counts, handling complex document sets
Cost for Small Businesses: Advanced features and Enterprise-only access (Claude 3.5, Gemini 1.5, Llama 3.1) expensive for smaller businesses
White-Label Minimum: Complete Cody branding removal requires Premium ($99/month) or Advanced ($249/month) - not available on Free/Basic tiers
Performance with Large Data: Speed may slow with large datasets or complex codebases on less powerful systems; requires stable internet (cloud-based)
Compliance Gap: Cody itself NOT SOC 2 certified as early-stage startup "diligently working towards earning SOC 2 compliance" - may block enterprise procurement
Infrastructure Compliance Only: Pinecone (SOC 2 Type II), AWS S3 (PCI-DSS, HIPAA/HITECH, FedRAMP) certified but Cody platform not directly certified
Best For: Business teams needing no-code deployment with 15-minute bot creation and source transparency for internal knowledge management
NOT Ideal For: Enterprises requiring direct SOC 2 vendor certification, native cloud storage sync, YouTube content ingestion, or deep technical problem-solving
Steep Learning Curve: Users frequently report steep learning curve for AI chatbot builder with complex workflows requiring significant time and technical understanding to implement effectively
Not Intuitive Without Technical Background: Getting AI chatbot and automated workflows running way more complex and time-consuming than expected - not intuitive unless you have technical background
Limited AI on Essentials Plan: AI heavily limited on Essentials plan (just 50 uses/month) - far too low for any real support automation in 2025, requires €295/month Plus plan for unlimited AI
Reliability Concerns: Several reviews mention significant bugs with worrying concern being occasional failure to deliver agent replies to customers severely impacting trust and support quality
Fewer Integrations: Fewer integrations compared to Zendesk or Intercom with analytics less comprehensive than enterprise solutions
Limited Advanced Features: Lacks advanced reporting, complex workflow automation, and sophisticated user management needed for larger fast-growing teams
Pricing Transparency Issues: Users frequently express frustration with unclear or confusing pricing - core AI and automation features only available in higher-tier plans with additional costs or limitations on "AI-powered resolutions" not immediately apparent
Scaling Cost Challenges: High-traffic teams quickly outgrow lower tiers which cap features like maximum seats, automation triggers, and integrations with many key advanced features locked behind higher-priced plans
AI as Add-On: Crisp started as communication platform first with AI features feeling like added layer on top rather than solution built around AI from beginning
Best For: Small businesses needing one central place for all customer chats just starting to explore very basic automation with strongest capabilities being shared inbox and live chat tools
NOT Ideal For: Teams wanting to seriously use AI to automate support where weak spots (limited AI uses, complex setup, reliability issues) become hard to ignore
Slashes engineering overhead with an all-in-one RAG platform—no in-house ML team required.
Gets you to value quickly: launch a functional AI assistant in minutes.
Stays current with ongoing GPT and retrieval improvements, so you’re always on the latest tech.
Balances top-tier accuracy with ease of use, perfect for customer-facing or internal knowledge projects.
Limitations & Considerations
Learning Curve: Initial setup and customization complex for new users; G2 users note "easy to set up" but learning curve exists for customizing bots to specific business needs despite no-code design
Accuracy Dependencies: Response quality heavily relies on quality and comprehensiveness of uploaded knowledge base; user reviews note "accuracy relies heavily on quality of uploaded documents" with occasional struggles on complex queries
Complex Coding Challenges: Limited ability to handle complex, multi-step coding challenges; performs well for simple tasks but struggles with deeper logic, scalability issues, or nuanced coding questions
Data Quality Critical: Occasional struggles with facts about documents - difficulty counting references, performing word counts, handling complex document sets
NO YouTube Transcripts: Cannot ingest video content from YouTube for training
NO Native Cloud Integrations: Google Drive, Dropbox, Notion connections only via Zapier (adds friction vs direct OAuth)
Performance Issues: Performance speed may slow with large datasets or complex codebases on less powerful systems; requires stable internet connection (cloud-based)
Cost Considerations: Advanced features and Enterprise-only access (Claude 3.5, Gemini 1.5, Llama 3.1) can be expensive for smaller businesses; white-labeling requires Premium ($99/month) minimum
NOT Ideal For: Enterprises requiring direct SOC 2 certification (infrastructure-only compliance may block procurement), teams needing deep technical problem-solving for critical systems without traditional development practices, organizations needing native cloud storage sync or YouTube content ingestion
Platform classification: CUSTOMER MESSAGING PLATFORM with AI features, NOT a dedicated RAG-as-a-Service solution
AI usage constraints: 50 AI uses/month on Essentials (€95) creates automation barriers - unlimited requires €295 Plus tier
Manual retraining required: Website crawls need manual refresh requests (NO automatic sync for web content), only Knowledge Base articles auto-sync
Training permissions bottleneck: Only workspace owners can launch AI training sessions (team bottleneck for larger organizations)
No cloud storage integrations: Google Drive, Dropbox, Notion, OneDrive all absent without third-party workarounds
No YouTube transcript support: Cannot ingest video content for knowledge base
No programmatic bot management: Chatbots configured exclusively via dashboard's no-code builder, no API for bot creation or management
Missing RAG APIs: No vector store endpoints, no embedding generation API, no semantic search API, no context retrieval endpoint
Analytics dashboard-only: No analytics API for programmatic access to performance data or usage statistics
Certification gaps: SOC 2 absent (claims compliance without formal audit), no HIPAA, no ISO 27001 - limits regulated industry adoption
Template library limited: Users must build flows manually vs competitors with extensive template libraries
Use case fit: Excellent for businesses wanting to USE AI-powered customer support; does NOT serve developers wanting to BUILD custom RAG applications
Managed service approach: Less control over underlying RAG pipeline configuration compared to build-your-own solutions like LangChain
Vendor lock-in: Proprietary platform - migration to alternative RAG solutions requires rebuilding knowledge bases
Model selection: Limited to OpenAI (GPT-5.1 and 4 series) and Anthropic (Claude, opus and sonnet 4.5) - no support for other LLM providers (Cohere, AI21, open-source models)
Pricing at scale: Flat-rate pricing may become expensive for very high-volume use cases (millions of queries/month) compared to pay-per-use models
Customization limits: While highly configurable, some advanced RAG techniques (custom reranking, hybrid search strategies) may not be exposed
Language support: Supports 90+ languages but performance may vary for less common languages or specialized domains
Real-time data: Knowledge bases require re-indexing for updates - not ideal for real-time data requirements (stock prices, live inventory)
Enterprise features: Some advanced features (custom SSO, token authentication) only available on Enterprise plan with custom pricing
WhatsApp Official Business Solution Provider: Official partnership status demonstrates platform validation and enterprise-grade integration quality
Unified inbox advantage: All channels (website, email, WhatsApp, Messenger, Instagram, Telegram, Twitter/X, SMS, Line, Slack) managed in single dashboard
Channel-agnostic chatbot deployment: Single bot builder deploys across web, mobile, social media, messaging apps without reconfiguration
SMS via Twilio: Text message support for broader reach beyond digital-native channels
Social media coverage: Facebook Messenger, Instagram DM, Twitter/X DM, Telegram for comprehensive social presence
Competitive positioning: 600,000+ businesses use omnichannel capabilities vs competitors' narrower messaging focus (9/10 rated differentiator for customer communication)
Use case fit: Businesses needing unified customer communication across multiple touchpoints with consistent AI assistance
N/A
Magic Reply A I Features ( Core Differentiator)
N/A
AI-suggested responses: One-click suggested responses agents can send based on conversation context and training data
Conversation summarization: Automatic summaries for shift handoffs enabling context continuity between agent teams
MagicTranscribe: Speech-to-text transcription for voice message processing and accessibility
Live translation: Real-time multilingual support with automatic language detection from browser settings, phone prefixes, account preferences
Topic categorization: Automatic conversation categorization before opening for routing efficiency and analytics
Configurable confidence thresholds: Adjustable across all 4 AI search actions (MagicReply, Search Helpdesk, Search Webpages, Search Answer) to reduce hallucinations
Uncertainty admission: AI explicitly states when it cannot find relevant information rather than fabricating responses (hallucination prevention)
Competitive advantage: Agent productivity features vs autonomous chatbot platforms - designed for human-AI collaboration rather than full automation (8/10 rated differentiator)
Pattern matching wildcards: Flexible message detection with wildcard support for conversational variety
November 2024 update: Bot builder improvements including merging action blocks and enhanced multilingual testing capabilities
Template functionality: Import/export flows for sharing and backup, example scenarios available but NO industry-specific templates (e-commerce, SaaS support, lead qualification) out of box
Non-technical user accessibility: SME teams can upload Q&A snippets, manage articles via WYSIWYG editor, trigger web crawls, build flows without coding (genuinely serves teams without developer dependencies)
LIMITATION: Note: Pre-built templates limited - users must build flows manually vs competitors with extensive template libraries (7/10 rated - functional but requires customization effort)
N/A
R E S T A P I Comprehensiveness ( Differentiator)
N/A
Conversation management depth: Full CRUD operations with message type variety (text, files, audio, carousels, picker, field, carousel, note, event), compose/typing indicators, state transition management, list/pagination support
People/CRM capabilities: Full CRUD operations, bulk CSV import, custom data fields, segment filtering for targeted communication
Helpdesk API strength: Full CRUD for localized articles, category and section taxonomy management, multi-locale support using ISO 639-1 codes, external helpdesk import via URL crawling
Official SDK ecosystem: Node.js (baseline), Go (actively maintained), PHP/Python/Ruby (2023 revisions), iOS/Android/React Native mobile SDKs
Competitive positioning: API depth for messaging/CRM operations vs RAG platforms (8/10 rated for customer messaging API, 2/10 for RAG API - fundamentally different focus)
E U Data Residency & G D P R Compliance ( Differentiator)
N/A
French company advantage: Crisp IM SAS headquartered in France ensures native GDPR understanding and compliance culture
Geographic data isolation: Messaging data in Netherlands, plugin data in Germany within EU boundaries
Data Processing Agreements: Available for enterprise customers requiring formal privacy commitments
GDPR subject rights: Full support for access, rectification, erasure, portability requests built into platform
Privacy by design: Deferred session initialization until user interaction minimizes unnecessary data collection
Competitive positioning: EU businesses requiring data sovereignty and GDPR compliance favor EU-based vendors over US alternatives (8.5/10 rated differentiator for European market)
600,000+ business validation: Large customer base demonstrates trust in privacy and security practices
N/A
Core Agent Features
N/A
N/A
Custom AI Agents: Build autonomous agents powered by GPT-4 and Claude that can perform tasks independently and make real-time decisions based on business knowledge
Decision-Support Capabilities: AI agents analyze proprietary data to provide insights, recommendations, and actionable responses specific to your business domain
Multi-Agent Systems: Deploy multiple specialized AI agents that can collaborate and optimize workflows in areas like customer support, sales, and internal knowledge management
Memory & Context Management: Agents maintain conversation history and persistent context for coherent multi-turn interactions
View Agent Documentation
Tool Integration: Agents can trigger actions, integrate with external APIs via webhooks, and connect to 5,000+ apps through Zapier for automated workflows
Hyper-Accurate Responses: Leverages advanced RAG technology and retrieval mechanisms to deliver context-aware, citation-backed responses grounded in your knowledge base
Continuous Learning: Agents improve over time through automatic re-indexing of knowledge sources and integration of new data without manual retraining
After analyzing features, pricing, performance, and user feedback, both CODY AI and Crisp are capable platforms that serve different market segments and use cases effectively.
When to Choose CODY AI
You value true rag architecture with pinecone vector database and configurable retrieval parameters (relevance score, token distribution, focus mode)
Source attribution with every response - click-through to exact documents used for generation (transparency and trust differentiator)
Focus Mode unique capability: inject up to 1,000 specific documents into conversation context for targeted responses vs full knowledge base
Best For: TRUE RAG architecture with Pinecone vector database and configurable retrieval parameters (relevance score, token distribution, Focus Mode)
When to Choose Crisp
You value omnichannel messaging with native whatsapp, messenger, instagram, telegram, twitter/x, sms, line, slack integrations
600,000+ businesses served demonstrating mature product-market fit
Proprietary Mirage AI model plus third-party LLM support (GPT-4o, Claude, Llama, Dialogflow)
Best For: Omnichannel messaging with native WhatsApp, Messenger, Instagram, Telegram, Twitter/X, SMS, Line, Slack integrations
Migration & Switching Considerations
Switching between CODY AI and Crisp requires careful planning. Consider data export capabilities, API compatibility, and integration complexity. Both platforms offer migration support, but expect 2-4 weeks for complete transition including testing and team training.
Pricing Comparison Summary
CODY AI starts at $29/month, while Crisp begins at $45/month. Total cost of ownership should factor in implementation time, training requirements, API usage fees, and ongoing support. Enterprise deployments typically see annual costs ranging from $10,000 to $500,000+ depending on scale and requirements.
Our Recommendation Process
Start with a free trial - Both platforms offer trial periods to test with your actual data
Define success metrics - Response accuracy, latency, user satisfaction, cost per query
Test with real use cases - Don't rely on generic demos; use your production data
Evaluate total cost - Factor in implementation time, training, and ongoing maintenance
Check vendor stability - Review roadmap transparency, update frequency, and support quality
For most organizations, the decision between CODY AI and Crisp comes down to specific requirements rather than overall superiority. Evaluate both platforms with your actual data during trial periods, focusing on accuracy, latency, ease of integration, and total cost of ownership.
📚 Next Steps
Ready to make your decision? We recommend starting with a hands-on evaluation of both platforms using your specific use case and data.
• Review: Check the detailed feature comparison table above
• Test: Sign up for free trials and test with real queries
• Calculate: Estimate your monthly costs based on expected usage
• Decide: Choose the platform that best aligns with your requirements
Last updated: December 11, 2025 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.
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DevRel at CustomGPT.ai. Passionate about AI and its applications. Here to help you navigate the world of AI tools and make informed decisions for your business.
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