Crisp vs Pyx

Make an informed decision with our comprehensive comparison. Discover which RAG solution perfectly fits your needs.

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Priyansh Khodiyar's avatar
Priyansh KhodiyarDevRel at CustomGPT.ai

Fact checked and reviewed by Bill Cava

Published: 01.04.2025Updated: 25.04.2025

In this comprehensive guide, we compare Crisp and Pyx 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 Crisp and Pyx, 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 Crisp if: you value omnichannel messaging with native whatsapp, messenger, instagram, telegram, twitter/x, sms, line, slack integrations
  • Choose Pyx if: you value very quick setup (30-60 minutes)

About Crisp

Crisp Landing Page Screenshot

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

About Pyx

Pyx Landing Page Screenshot

Pyx is find. don't search.. Pyx AI is an enterprise conversational search tool that leverages Retrieval-Augmented Generation (RAG) to deliver real-time answers from company data. It continuously synchronizes with data sources and enables natural language queries across unstructured documents without keywords or pre-sorting. Founded in 2022, headquartered in Europe, the platform has established itself as a reliable solution in the RAG space.

Overall Rating
83/100
Starting Price
$30/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: Customer Support versus AI Search. 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

logo of crisp
Crisp
logo of pyx
Pyx
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CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
  • Five Primary Sources – Answer snippets (Q&A up to 1,000 chars), website crawling, Knowledge Base articles, conversation history, file uploads
  • Supported Formats – PDF, Word (DOC/DOCX), plain text (TXT), CSV via Data Importer
  • Website Crawling – Entire domain processing with sitemap support
  • ✅ Knowledge Base Sync – Articles automatically sync to AI training when updated
  • ⚠️ Training Permissions – Only workspace owners can launch AI training (bottleneck)
  • ❌ NO YouTube Transcripts – Video content ingestion not supported
  • ❌ NO Cloud Storage – Google Drive, Dropbox, Notion, OneDrive absent
  • ❌ LIMITATION – NO API endpoint to trigger retraining, NO webhook notification when complete
  • ✅ Auto-Indexing – Points at files, indexes unstructured data automatically without manual setup
  • ✅ Auto-Sync – Connected repositories sync automatically, document changes reflected almost instantly
  • File Formats – Supports PDF, DOCX, PPT, TXT and common enterprise formats
  • ⚠️ Limited Scope – No website crawling or YouTube ingestion, narrower than CustomGPT
  • Enterprise Scale – Handles large corporate data sets, exact limits not published
  • 1,400+ file formats – PDF, DOCX, Excel, PowerPoint, Markdown, HTML + auto-extraction from ZIP/RAR/7Z archives
  • Website crawling – Sitemap indexing with configurable depth for help docs, FAQs, and public content
  • Multimedia transcription – AI Vision, OCR, YouTube/Vimeo/podcast speech-to-text built-in
  • Cloud integrations – Google Drive, SharePoint, OneDrive, Dropbox, Notion with auto-sync
  • Knowledge platforms – Zendesk, Freshdesk, HubSpot, Confluence, Shopify connectors
  • Massive scale – 60M words (Standard) / 300M words (Premium) per bot with no performance degradation
Integrations & Channels
  • Omnichannel Messaging – Website, email, WhatsApp Business API (Official Provider), Messenger, Instagram, Telegram, Twitter/X, SMS (Twilio), Line, Slack
  • Zapier Integration – Triggers (new contacts/messages) and actions (state changes, contact creation)
  • Website Embedding – JavaScript snippet, NPM packages (React/Vue/Angular), mobile SDKs (iOS/Android)
  • REST API – Comprehensive conversation management, CRM operations, helpdesk CRUD
  • Webhooks – Website Hooks + Plugin Hooks (50+ event namespaces, signed payloads)
  • ❌ CRITICAL LIMITATION – NO Microsoft Teams native integration documented
  • ⚠️ Standalone Only – Own chat/search interface, not a "deploy everywhere" platform
  • ⚠️ No External Channels – No Slack bot, Zapier connector, or public API
  • Web/Desktop UI – Users interact through Pyx's interface, minimal third-party chat synergy
  • Custom Integration – Deeper integrations require custom dev work or future updates
  • Website embedding – Lightweight JS widget or iframe with customizable positioning
  • CMS plugins – WordPress, WIX, Webflow, Framer, SquareSpace native support
  • 5,000+ app ecosystem – Zapier connects CRMs, marketing, e-commerce tools
  • MCP Server – Integrate with Claude Desktop, Cursor, ChatGPT, Windsurf
  • OpenAI SDK compatible – Drop-in replacement for OpenAI API endpoints
  • LiveChat + Slack – Native chat widgets with human handoff capabilities
Omnichannel Messaging Excellence
  • ✅ WhatsApp Official Business Solution Provider – Official partnership status
  • ✅ Unified Inbox Advantage – All channels managed in single dashboard
  • Channel-Agnostic Deployment – Single bot deploys across web, mobile, social media
  • SMS via Twilio – Text message support for broader reach
  • Social Media Coverage – Facebook, Instagram, Twitter/X, Telegram comprehensive presence
  • ✅ Competitive Positioning – 600,000+ businesses use omnichannel capabilities (9/10 rated)
N/A
N/A
Magic Reply A I Features
  • AI-Suggested Responses – One-click suggestions agents can send based on context
  • Conversation Summarization – Automatic summaries for shift handoffs
  • MagicTranscribe – Speech-to-text for voice message processing
  • Live Translation – Real-time multilingual support with automatic detection
  • Topic Categorization – Automatic conversation categorization for routing
  • Configurable Thresholds – Adjustable across 4 AI search actions to reduce hallucinations
  • ✅ Uncertainty Admission – AI states when it cannot find information (hallucination prevention)
  • ✅ Competitive Advantage – Agent productivity features vs autonomous platforms (8/10 rated)
N/A
N/A
Core Chatbot Features
  • Chatbot Builder 4 AI Actions – MagicReply, Search Helpdesk, Search Webpages, Search Answer
  • Confidence Threshold System – Each AI action supports configurable thresholds
  • Multi-lingual Support – Automatic detection from browser settings, phone prefixes
  • Conversational Workflow Builder – Event-driven flows with Actions, Conditions, Exits
  • Chatbot Personality – Custom prompts define tone, brand voice alignment
  • Human Handoff – Smooth bot-to-agent transitions with 2-minute timeout detection
  • Co-browsing (MagicBrowse) – Live assistance for complex support scenarios
  • ⚠️ LIMITATION – NO programmatic personality management (dashboard-only, global configuration)
  • Conversational Search – Context-aware Q&A over enterprise documents with follow-up questions
  • ⚠️ Internal Focus – Designed for knowledge management, no lead capture or human handoff
  • Multi-Language – Likely supports multiple languages, though not a headline feature
  • ⚠️ Basic Analytics – Stores chat history, fewer business insights than customer-facing tools
  • ✅ #1 accuracy – Median 5/5 in independent benchmarks, 10% lower hallucination than OpenAI
  • ✅ Source citations – Every response includes clickable links to original documents
  • ✅ 93% resolution rate – Handles queries autonomously, reducing human workload
  • ✅ 92 languages – Native multilingual support without per-language config
  • ✅ Lead capture – Built-in email collection, custom forms, real-time notifications
  • ✅ Human handoff – Escalation with full conversation context preserved
Visual No- Code Chatbot Builder
  • Drag-and-Drop Blocks – Events (triggers), Actions (responses), Conditions (logic), Exit
  • Pattern Matching Wildcards – Flexible message detection with wildcard support
  • November 2024 Update – Merging action blocks, enhanced multilingual testing
  • Template Functionality – Import/export flows for sharing and backup
  • ✅ Non-Technical Accessibility – SME teams can build flows without coding
  • ⚠️ LIMITATION – Pre-built templates limited, no industry-specific templates out of box (7/10 rated)
N/A
N/A
L L M Model Options
  • Proprietary Mirage AI – Retrained November 2024 with 10x more data
  • Third-Party Integrations – ChatGPT/GPT-4o, Claude AI, Llama, Dialogflow
  • Mirage Reranking Model – Proprietary optimization (technical details undisclosed)
  • ⚠️ CRITICAL LIMITATION – Model selection dashboard-only, NO API endpoint to switch
  • ❌ NO Automatic Routing – No query complexity-based or cost optimization switching
  • ❌ LIMITATION – NO exposed configuration for developers to adjust AI behavior via API
  • ⚠️ Undisclosed Model – Likely GPT-3.5/GPT-4 but exact model not publicly documented
  • ⚠️ No Model Selection – Cannot switch LLMs or configure speed vs accuracy tradeoffs
  • ⚠️ Single Configuration – Every query uses same model, no toggles or fine-tuning
  • Closed Architecture – Model details, context window, capabilities hidden from users intentionally
  • GPT-5.1 models – Latest thinking models (Optimal & Smart variants)
  • GPT-4 series – GPT-4, GPT-4 Turbo, GPT-4o available
  • Claude 4.5 – Anthropic's Opus available for Enterprise
  • Auto model routing – Balances cost/performance automatically
  • Zero API key management – All models managed behind the scenes
Developer Experience ( A P I & S D Ks)
  • REST API Capabilities – Conversation management (8+ message types), People/CRM CRUD, Helpdesk API
  • Official SDKs (5 languages) – Node.js (baseline), Go, PHP/Python/Ruby (2023 revisions)
  • Mobile SDKs – iOS (Swift), Android (Java), React Native
  • Authentication – Basic Auth with token identifier/key pairs, granular scopes
  • Webhook Support – Website Hooks + Plugin Hooks (50+ event namespaces)
  • RTM API – WebSocket connectivity via Socket.IO for real-time events
  • ❌ CRITICAL LIMITATION – NO API to create/manage bots programmatically
  • ❌ CRITICAL LIMITATION – NO vector store endpoints, NO embedding API, NO semantic search
  • ❌ LIMITATION – Cannot trigger AI responses or query knowledge base via API
  • ⚠️ No API – No open API or SDKs, everything through Pyx interface
  • ⚠️ No Embedding – Cannot integrate into other apps or call programmatically
  • Closed Ecosystem – No GitHub examples, community plug-ins, or extensibility options
  • Turnkey Only – Great for ready-made tool, limits deep customization or extensions
  • REST API – Full-featured for agents, projects, data ingestion, chat queries
  • Python SDK – Open-source customgpt-client with full API coverage
  • Postman collections – Pre-built requests for rapid prototyping
  • Webhooks – Real-time event notifications for conversations and leads
  • OpenAI compatible – Use existing OpenAI SDK code with minimal changes
R E S T A P I Comprehensiveness
  • Conversation Management Depth – Full CRUD with 8+ message types, state transitions
  • People/CRM Capabilities – Full CRUD, bulk CSV import, custom data fields
  • Helpdesk API Strength – Full CRUD for localized articles, multi-locale support (ISO 639-1)
  • ✅ Official SDK Ecosystem – Node.js, Go, PHP, Python, Ruby, iOS/Android/React Native
  • ✅ Competitive Positioning – API depth for messaging/CRM (8/10), RAG API (2/10)
N/A
N/A
Security & Privacy
  • GDPR Compliant – Full compliance as French company with EU data storage
  • EU Data Residency – Messaging data (Netherlands), plugin data (Germany)
  • Encryption – All public network channels encrypted, real-time chat encrypted
  • Infrastructure Security – Hardware tokens, aggressive firewalls, VPN-only admin access
  • Two-Factor Authentication – Available for user accounts
  • ✅ Uptime SLA – Historically exceeds 99.99% (>99.9945% in 2019)
  • ⚠️ CRITICAL LIMITATION – SOC 2 claims compliance but NO formal audit (enterprise blocker)
  • ❌ LIMITATION – NO HIPAA, NO ISO 27001 certification for regulated industries
  • ✅ GDPR Compliance – Germany-based, implicit EU data protection and regional sovereignty
  • ✅ Enterprise Privacy – Data isolated per customer, encrypted in transit and rest
  • ✅ No Model Training – Customer data not used for external LLM training
  • ✅ Role-Based Access – Built-in controls, admins set document visibility per role
  • ⚠️ Limited Certifications – On-prem or SOC 2/ISO 27001/HIPAA not publicly documented
  • SOC 2 Type II + GDPR – Third-party audited compliance
  • Encryption – 256-bit AES at rest, SSL/TLS in transit
  • Access controls – RBAC, 2FA, SSO, domain allowlisting
  • Data isolation – Never trains on your data
E U Data Residency & G D P R Compliance
  • ✅ French Company Advantage – Crisp IM SAS ensures native GDPR compliance culture
  • ✅ Geographic Data Isolation – Messaging (Netherlands), plugins (Germany) within EU
  • Data Processing Agreements – Available for enterprise customers
  • GDPR Subject Rights – Full support for access, rectification, erasure, portability
  • ✅ Competitive Positioning – EU businesses favor EU-based vendors (8.5/10 rated differentiator)
  • ✅ 600,000+ Business Validation – Large customer base demonstrates trust
N/A
N/A
Pricing & Scalability
  • Free Plan – €0/month, 2 seats, basic chat only (NO AI chatbot)
  • Mini Plan – €45/month (~$48), 4 seats (NO AI chatbot, messaging-only)
  • Essentials Plan – €95/month (~$102), 10 seats, AI chatbot with 50 uses/month limit
  • Plus Plan – €295/month (~$316), 20+ seats, unlimited AI resolutions, white-labeling
  • Enterprise – Custom pricing with enhanced rate limits, dedicated support, custom SLAs
  • ⚠️ Alternative Model – $95/month base + $45/month AI + $0.10 per AI action
  • ⚠️ CONCERN – AI usage caps on Essentials (50/month at €95) create automation barriers
  • Seat-Based Pricing – ~$30 per user per month, predictable monthly costs
  • ✅ Cost-Effective Small Teams – Affordable for teams under 50 users
  • ⚠️ Large Team Costs – 100 users = $3,000/month, can scale expensively
  • Unlimited Content – Document/token limits not published, gated only by user seats
  • Free Trial + Enterprise – Hands-on trial available, custom pricing for large deployments
  • Standard: $99/mo – 60M words, 10 bots
  • Premium: $449/mo – 300M words, 100 bots
  • Auto-scaling – Managed cloud scales with demand
  • Flat rates – No per-query charges
Support & Ecosystem
  • Developer Hub – Comprehensive docs at docs.crisp.chat with REST API references
  • Chappe Documentation Builder – 228 GitHub stars powers docs site
  • ✅ Chat-Based Support – Generally praised for responsiveness
  • Enhanced Support (Plus) – Higher tiers receive prioritized assistance
  • Bootstrapped Team – 14-20 employees handle 600,000+ businesses
  • ❌ LIMITATION – NO public forum for developer knowledge sharing
  • ❌ LIMITATION – Minimal GitHub community engagement (single-digit contributors)
  • ✅ Direct Support – Email, phone, chat with hands-on onboarding approach
  • ⚠️ No Open Community – Closed solution, no plug-ins or user-built extensions
  • Internal Roadmap – Product updates from Pyx only, no community marketplace
  • Quick Setup Focus – Emphasizes minimal admin overhead for internal knowledge search
  • Comprehensive docs – Tutorials, cookbooks, API references
  • Email + in-app support – Under 24hr response time
  • Premium support – Dedicated account managers for Premium/Enterprise
  • Open-source SDK – Python SDK, Postman, GitHub examples
  • 5,000+ Zapier apps – CRMs, e-commerce, marketing integrations
R A G-as-a- Service Assessment
  • Platform Classification – CUSTOMER MESSAGING PLATFORM with AI, NOT RAG-as-a-Service
  • Architecture Philosophy – Unified customer communication with AI assistance
  • Target Audience – SMBs wanting affordable messaging vs developers needing RAG control
  • ❌ Missing RAG Foundations – NO vector store, NO embedding APIs, NO semantic search
  • ✅ Use Case Fit – Excellent for USING AI-powered support, NOT BUILDING custom RAG
  • ⚠️ Competitive Positioning – Competes with Intercom/Zendesk (2/10 as RAG platform)
  • ⚠️ NOT TRUE RAG-AS-A-SERVICE – Standalone internal app, not API-accessible RAG platform
  • Turnkey Application – Self-contained Q&A tool vs developer-accessible RAG infrastructure
  • ⚠️ No API Access – No REST API, SDKs, programmatic access unlike CustomGPT/Vectara
  • Closed Application – Web/desktop interface only, cannot build custom applications on top
  • SaaS vs RaaS – Software-as-a-Service (standalone app) NOT Retrieval-as-a-Service (API infrastructure)
  • Best Comparison Category – Internal search tools (Glean, Guru), not developer RAG platforms
  • Platform type – TRUE RAG-AS-A-SERVICE with managed infrastructure
  • API-first – REST API, Python SDK, OpenAI compatibility, MCP Server
  • No-code option – 2-minute wizard deployment for non-developers
  • Hybrid positioning – Serves both dev teams (APIs) and business users (no-code)
  • Enterprise ready – SOC 2 Type II, GDPR, WCAG 2.0, flat-rate pricing
Competitive Positioning
  • vs CustomGPT – Crisp excels in omnichannel messaging; CustomGPT in RAG infrastructure
  • vs Intercom/Zendesk – Comparable features, lower pricing (€295 vs $500+/month)
  • vs LiveChat/Drift – Similar focus with Mirage AI and WhatsApp Official Provider differentiation
  • vs RAG platforms – Fundamentally different category, not designed for RAG development
  • ✅ Market Niche – Mature customer messaging for SMBs with AI assistance
  • Market Position – Turnkey internal knowledge search (Germany), not embeddable chatbot platform
  • Target Customers – Small-mid European teams needing GDPR compliance and simple deployment
  • Key Competitors – Glean, Guru, Notion AI; not customer-facing chatbots like CustomGPT
  • ✅ Advantages – Simple scope, auto-sync, GDPR compliance, ~$30/user/month predictable pricing
  • ⚠️ Use Case Fit – Perfect for <50 user teams, not API integrations or public chatbots
  • Market position – Leading RAG platform balancing enterprise accuracy with no-code usability. Trusted by 6,000+ orgs including Adobe, MIT, Dropbox.
  • Key differentiators – #1 benchmarked accuracy • 1,400+ formats • Full white-labeling included • Flat-rate pricing
  • vs OpenAI – 10% lower hallucination, 13% higher accuracy, 34% faster
  • vs Botsonic/Chatbase – More file formats, source citations, no hidden costs
  • vs LangChain – Production-ready in 2 min vs weeks of development
Customer Base & Case Studies
  • ✅ Scale – 600,000+ businesses served globally
  • ✅ Bootstrapped Success – $1.4M revenue in 2024 without external funding
  • Geographic Distribution – Global with strong European presence due to GDPR compliance
  • Target Market – SMBs seeking affordable Intercom alternatives
  • ✅ WhatsApp Validation – Official Business Solution Provider status
  • ✅ Uptime Track Record – >99.9945% reported uptime (2019)
N/A
N/A
Limitations & Considerations
  • ❌ Platform Classification – CUSTOMER MESSAGING with AI, NOT RAG-as-a-Service
  • ⚠️ AI Usage Constraints – 50 uses/month (Essentials €95), unlimited requires €295 Plus
  • ⚠️ Manual Retraining Required – Website crawls need manual refresh (only KB auto-syncs)
  • ⚠️ Training Permissions Bottleneck – Only workspace owners can launch AI training
  • ❌ No Cloud Storage Integrations – Google Drive, Dropbox, Notion, OneDrive absent
  • ❌ No Programmatic Bot Management – Dashboard-only, no API for bot creation
  • ❌ Missing RAG APIs – No vector store, embedding, semantic search endpoints
  • ❌ Analytics Dashboard-Only – No analytics API for programmatic access
  • ⚠️ Certification Gaps – SOC 2 absent (no formal audit), no HIPAA/ISO 27001
  • ✅ Use Case Fit – Excellent for USING AI support, NOT BUILDING custom RAG applications
  • ⚠️ No Public API – Cannot embed or call programmatically, standalone UI only
  • ⚠️ No Messaging Integrations – No Slack, Teams, WhatsApp or chat platform connectors
  • ⚠️ Limited Branding – Minimal customization, not white-label solution for public deployment
  • ⚠️ No Advanced Controls – Cannot configure RAG parameters, model selection, retrieval strategies
  • ⚠️ Seat-Based Scaling – Expensive for large orgs vs usage-based pricing models
  • ✅ Best For – Small European teams (<50 users) prioritizing simplicity and GDPR over flexibility
  • Managed service – Less control over RAG pipeline vs build-your-own
  • Model selection – OpenAI + Anthropic only; no Cohere, AI21, open-source
  • Real-time data – Requires re-indexing; not ideal for live inventory/prices
  • Enterprise features – Custom SSO only on Enterprise plan
Customization & Branding
N/A
  • ⚠️ Minimal Branding – Logo/color tweaks only, designed as internal tool not white-label
  • ⚠️ No Embedding – Standalone interface, no domain-embed or widget options available
  • Pyx UI Only – Look stays "Pyx AI" by design, public branding not supported
  • Security Focus – Emphasis on user management and access controls over theming
  • Full white-labeling included – Colors, logos, CSS, custom domains at no extra cost
  • 2-minute setup – No-code wizard with drag-and-drop interface
  • Persona customization – Control AI personality, tone, response style via pre-prompts
  • Visual theme editor – Real-time preview of branding changes
  • Domain allowlisting – Restrict embedding to approved sites only
Performance & Accuracy
N/A
  • Real-Time Answers – Serves accurate responses from internal documents, sparse public benchmarks
  • Auto-Sync Freshness – Connected repositories keep retrieval context always current automatically
  • ⚠️ Limited Transparency – No anti-hallucination metrics or advanced re-ranking details published
  • Competitive RAG – Likely comparable to standard GPT-based systems on relevance control
  • Sub-second responses – Optimized RAG with vector search and multi-layer caching
  • Benchmark-proven – 13% higher accuracy, 34% faster than OpenAI Assistants API
  • Anti-hallucination tech – Responses grounded only in your provided content
  • OpenGraph citations – Rich visual cards with titles, descriptions, images
  • 99.9% uptime – Auto-scaling infrastructure handles traffic spikes
Customization & Flexibility ( Behavior & Knowledge)
N/A
  • ✅ Auto-Sync Updates – Knowledge base updated without manual uploads or scheduling
  • ⚠️ No Persona Controls – AI voice stays neutral, no tone or behavior customization
  • ✅ Access Controls – Strong role-based permissions, admins set document visibility per user
  • Closed Environment – Great for content updates, limited for AI behavior or deployment
  • Live content updates – Add/remove content with automatic re-indexing
  • System prompts – Shape agent behavior and voice through instructions
  • Multi-agent support – Different bots for different teams
  • Smart defaults – No ML expertise required for custom behavior
Observability & Monitoring
N/A
  • Basic Stats – User activity, query counts, top-referenced documents for admins
  • ⚠️ No Deep Analytics – No conversation analytics dashboards or real-time logging
  • Adoption Tracking – Useful for usage monitoring, lighter insights than full suites
  • Set-and-Forget – Minimal monitoring overhead, contact support for issues
  • Real-time dashboard – Query volumes, token usage, response times
  • Customer Intelligence – User behavior patterns, popular queries, knowledge gaps
  • Conversation analytics – Full transcripts, resolution rates, common questions
  • Export capabilities – API export to BI tools and data warehouses
Additional Considerations
N/A
  • ✅ No-Fuss Internal Search – Employees use without coding, simple deployment for teams
  • ⚠️ Not Public-Facing – Not ideal for customer chatbots or developer-heavy customization
  • Siloed Environment – Single AI search environment, not broad extensible platform
  • Simpler Scope – Less flexible than CustomGPT, but faster setup for internal use
  • Time-to-value – 2-minute deployment vs weeks with DIY
  • Always current – Auto-updates to latest GPT models
  • Proven scale – 6,000+ organizations, millions of queries
  • Multi-LLM – OpenAI + Claude reduces vendor lock-in
No- Code Interface & Usability
N/A
  • ✅ Straightforward UI – Users log in, ask questions, get answers without coding
  • ✅ No-Code Admin – Admins connect data sources, Pyx indexes automatically
  • Minimal Customization – UI stays consistent and uncluttered by design
  • Internal Q&A Hub – Perfect for employee use, not external embedding or branding
  • 2-minute deployment – Fastest time-to-value in the industry
  • Wizard interface – Step-by-step with visual previews
  • Drag-and-drop – Upload files, paste URLs, connect cloud storage
  • In-browser testing – Test before deploying to production
  • Zero learning curve – Productive on day one
A I Models
N/A
  • ⚠️ Undisclosed LLM – Likely GPT-3.5/GPT-4 but model details not publicly documented
  • ⚠️ No Model Selection – Cannot switch LLMs or choose speed vs accuracy configurations
  • ⚠️ Opaque Architecture – Context window size and capabilities not exposed to users
  • Simplicity Focus – Hides technical complexity, users ask questions and get answers
  • ⚠️ No Fine-Tuning – Cannot customize model on domain data for specialized responses
  • OpenAI – GPT-5.1 (Optimal/Smart), GPT-4 series
  • Anthropic – Claude 4.5 Opus/Sonnet (Enterprise)
  • Auto-routing – Intelligent model selection for cost/performance
  • Managed – No API keys or fine-tuning required
R A G Capabilities
N/A
  • Conversational RAG – Context-aware search over enterprise documents with follow-up support
  • ✅ Auto-Sync – Repositories sync automatically, changes reflected almost instantly
  • Document Formats – PDF, DOCX, PPT, TXT and common enterprise formats supported
  • ⚠️ No Advanced Controls – Chunking, embedding models, similarity thresholds not exposed
  • ⚠️ Limited Transparency – No citation metrics or anti-hallucination details published
  • Closed System – Optimized for internal Q&A, limited visibility into retrieval architecture
  • GPT-4 + RAG – Outperforms OpenAI in independent benchmarks
  • Anti-hallucination – Responses grounded in your content only
  • Automatic citations – Clickable source links in every response
  • Sub-second latency – Optimized vector search and caching
  • Scale to 300M words – No performance degradation at scale
Use Cases
N/A
  • ✅ Internal Knowledge Search – Employees asking questions about company documents and policies
  • ✅ Team Onboarding – New hires finding information without bothering colleagues
  • ✅ Policy Lookup – HR, compliance, operational procedure retrieval for staff
  • ✅ Small European Teams – GDPR-compliant internal search with EU data residency
  • ⚠️ NOT SUITABLE FOR – Public chatbots, customer support, API integrations, multi-channel deployment
  • Customer support – 24/7 AI handling common queries with citations
  • Internal knowledge – HR policies, onboarding, technical docs
  • Sales enablement – Product info, lead qualification, education
  • Documentation – Help centers, FAQs with auto-crawling
  • E-commerce – Product recommendations, order assistance
Security & Compliance
N/A
  • ✅ GDPR Compliance – Germany-based with implicit EU data protection compliance
  • ✅ German Data Residency – EU storage location for regional data sovereignty requirements
  • ✅ Enterprise Privacy – Customer data isolated, encrypted in transit and at rest
  • ✅ Role-Based Access – Built-in controls, admins set document visibility per user
  • ⚠️ Limited Certifications – SOC 2, ISO 27001, HIPAA not publicly documented
  • SOC 2 Type II + GDPR – Regular third-party audits, full EU compliance
  • 256-bit AES encryption – Data at rest; SSL/TLS in transit
  • SSO + 2FA + RBAC – Enterprise access controls with role-based permissions
  • Data isolation – Never trains on customer data
  • Domain allowlisting – Restrict chatbot to approved domains
Pricing & Plans
N/A
  • Seat-Based Pricing – ~$30 per user per month
  • ✅ Small Team Value – Affordable for teams under 50 users, predictable costs
  • ⚠️ Scalability Cost – 100 users = $3,000/month, expensive for large organizations
  • Unlimited Content – No published document limits, gated only by user seats
  • Free Trial + Enterprise – Evaluation available, custom pricing for volume discounts
  • Standard: $99/mo – 10 chatbots, 60M words, 5K items/bot
  • Premium: $449/mo – 100 chatbots, 300M words, 20K items/bot
  • Enterprise: Custom – SSO, dedicated support, custom SLAs
  • 7-day free trial – Full Standard access, no charges
  • Flat-rate pricing – No per-query charges, no hidden costs
Support & Documentation
N/A
  • ✅ Direct Support – Email, phone, chat with hands-on onboarding approach
  • ✅ Quick Deployment – Minimal admin overhead, connect sources and start asking questions
  • ⚠️ No Open Community – Closed solution, no plug-ins or user extensions
  • ⚠️ No Developer Docs – No API documentation or programmatic access guides
  • Internal Roadmap – Updates from Pyx only, no user-contributed features
  • Documentation hub – Docs, tutorials, API references
  • Support channels – Email, in-app chat, dedicated managers (Premium+)
  • Open-source – Python SDK, Postman, GitHub examples
  • Community – User community + 5,000 Zapier integrations
Core Agent Features
N/A
  • ⚠️ NO Agent Capabilities – No autonomous agents, tool calling, or multi-agent orchestration
  • Conversational Search Only – Context-aware dialogue for Q&A, not agentic or autonomous behavior
  • Basic RAG Architecture – Standard retrieval without function calling, tool use, or workflows
  • ⚠️ No External Actions – Cannot invoke APIs, execute code, query databases, or interact externally
  • Internal Knowledge Focus – Employee Q&A about documents, not task automation or workflows
  • Custom AI Agents – Autonomous GPT-4/Claude agents for business tasks
  • Multi-Agent Systems – Specialized agents for support, sales, knowledge
  • Memory & Context – Persistent conversation history across sessions
  • Tool Integration – Webhooks + 5,000 Zapier apps for automation
  • Continuous Learning – Auto re-indexing without manual retraining

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Final Thoughts

Final Verdict: Crisp vs Pyx

After analyzing features, pricing, performance, and user feedback, both Crisp and Pyx are capable platforms that serve different market segments and use cases effectively.

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

When to Choose Pyx

  • You value very quick setup (30-60 minutes)
  • No manual data imports required
  • Excellent ease of use with conversational interface

Best For: Very quick setup (30-60 minutes)

Migration & Switching Considerations

Switching between Crisp and Pyx 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

Crisp starts at $45/month, while Pyx begins at $30/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

  1. Start with a free trial - Both platforms offer trial periods to test with your actual data
  2. Define success metrics - Response accuracy, latency, user satisfaction, cost per query
  3. Test with real use cases - Don't rely on generic demos; use your production data
  4. Evaluate total cost - Factor in implementation time, training, and ongoing maintenance
  5. Check vendor stability - Review roadmap transparency, update frequency, and support quality

For most organizations, the decision between Crisp and Pyx 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: February 21, 2026 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.

See Also

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Priyansh Khodiyar's avatar

Priyansh Khodiyar

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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