CODY AI vs Fini AI

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

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 CODY AI and Fini AI 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 Fini AI, 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 Fini AI if: you value industry-leading 97-98% accuracy claim backed by customer testimonials

About CODY AI

CODY AI Landing Page Screenshot

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 Fini AI

Fini AI Landing Page Screenshot

Fini AI is ragless ai agent for customer support automation. Fini AI is a next-generation customer support platform built on proprietary RAGless architecture, claiming 97-98% accuracy. Founded by ex-Uber engineers and backed by Y Combinator, Fini specializes in action-taking AI agents that execute refunds, update accounts, and verify identities—going beyond traditional RAG document retrieval. Founded in 2022, headquartered in Amsterdam, Netherlands, the platform has established itself as a reliable solution in the RAG space.

Overall Rating
91/100
Starting Price
Custom

Key Differences at a Glance

In terms of user ratings, Fini AI in overall satisfaction. From a cost perspective, Fini AI offers more competitive entry pricing. The platforms also differ in their primary focus: AI Chatbot versus AI Agent. 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 cody
CODY AI
logo of finai
Fini AI
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CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
  • Supported formats – PDF, Word, PowerPoint, plain text up to 100MB per file
  • Website crawler – Import up to 25,000 pages with auto re-imports (Premium/Advanced)
  • Document capacity – Free (100), Basic (1K), Premium (10K), Advanced (50K total)
  • Storage – Amazon S3 SSE-S3 encryption, Pinecone vector database (SOC 2 Type II)
  • ⚠️ NO YouTube/cloud integrations – No video transcripts, requires Zapier for Drive/Dropbox/Notion
  • File Support – PDF, Word, text, JSON, YAML, CSV; full website crawling
  • Cloud Integrations – Native Google Drive, Notion, Confluence, Guru (⚠️ no Dropbox)
  • Chat2KB (Growth/Enterprise) – Auto-extracts Q&A from conversations with conflict resolution
  • Real-time Updates – Starter 50 docs → Growth 1K → Enterprise unlimited
  • ⚠️ YouTube transcripts NOT supported – LLMs "not great at video interpretation"
  • 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
  • Native Slack/Discord – Free for all users with /assign-bot command and @mentions
  • Zapier integration – 5,000+ apps including Telegram, Facebook Messenger, WhatsApp
  • REST API v1.0 – Full API access on all paid plans at developers.meetcody.ai
  • ⚠️ NO Teams/webhooks – Requires Zapier for Microsoft Teams, no event-driven notifications
  • 20+ Native Helpdesk Integrations – Zendesk, Intercom, Salesforce, Front, Gorgias, HubSpot (⚠️ no Zapier)
  • Omnichannel – Slack, Discord, Teams; WhatsApp/Messenger via Zendesk/Intercom (⚠️ not Telegram)
  • Website Options – Fini Widget, Search Bar, Standalone; Chrome Extension for agents
  • 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
Native Slack & Discord Integration ( Differentiator)
  • ✅ Free on all plans – Native Slack/Discord integrations even on Free tier
  • /assign-bot command – Dedicate bots to channels for departmental organization
  • Context preservation – History maintained in threads for multi-turn interactions
  • Competitive advantage – Zero-friction vs API integrations (7.5/10 differentiator)
N/A
N/A
Source Attribution & Transparency ( Core Differentiator)
  • ✅ Automatic citation – Every response includes links to exact documents used for verification
  • Source verification interface – Centralized logs show which documents informed each response for audits
  • Trust building – Users validate AI answers against sources reducing hallucination concerns
  • Compliance advantage – Source traceability supports explainable AI requirements in regulated industries (9/10 differentiator)
N/A
N/A
Focus Mode ( Core Differentiator)
  • ✅ Targeted context injection – Inject up to 1,000 specific documents into conversation context
  • Use cases – Department-specific queries, project-scoped assistance, client-specific information isolation
  • Noise reduction – Constrains retrieval to relevant subset preventing irrelevant information interference
  • Performance advantage – Smaller search space improves retrieval speed and relevance (8.5/10 differentiator)
N/A
N/A
Core Chatbot Features
  • Multilingual support – Build and interact in any language
  • Conversation memory – Configurable token distribution (70% context, 10% history, 20% response)
  • History retention – 14 days (Basic), 30 days (Premium), 90 days (Advanced)
  • ⚠️ NO lead capture/handoff – Requires API/Zapier, prompt-based escalation
  • Sophie AI Agent – 5-layer execution: Safety, LLM Supervisor, Skills, Feedback, Traceability
  • 100+ Languages – Locale-based routing with real-time translation
  • Human Handoff – Context-preserving escalation via keywords, sentiment, confidence thresholds
  • 80% Ticket Resolution – End-to-end without human intervention claim
  • ✅ #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
Widget Customization & White- Labeling
  • Header & chat styling – Layout, logo, colors, message bubbles, avatars customization
  • Launcher config – Size, position (left/right/bottom), color, custom icons
  • White-labeling – Complete branding removal requires Premium ($99) or Advanced ($249)
  • ⚠️ NO domain restrictions – Cannot limit widget usage to specific domains
N/A
N/A
L L M Model Options
  • Basic plan – GPT-3.5 Turbo only (1 credit per query)
  • Premium/Advanced – GPT-3.5 Turbo, GPT-3.5 16K (5 credits), GPT-4 (10 credits), Claude Sonnet
  • Enterprise – 6 providers: Llama 3.1, Claude 3.5 Sonnet, GPT-4o, Gemini 1.5, Mixtral-8x7B
  • ⚠️ NO automatic routing – Manual selection only, credit-based transparent pricing
  • Starter (Free) – GPT-4o mini only
  • Growth – GPT-4o mini + Claude
  • Enterprise – GPT-4o + Multi-layer automatic routing per query part
  • RAGless Architecture – Query-writing AI; "no embeddings, no hallucinations"
  • ⚠️ No Runtime Switching – Plan-based selection only
  • 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 v1.0 – Bearer token auth, comprehensive endpoints (updated May 2024)
  • Messages/Documents endpoints – SSE streaming, file upload (100MB), webpage import
  • Rate limiting – Standard headers (x-ratelimit-limit, -remaining, -reset)
  • ⚠️ NO SDKs/limited docs – Direct REST calls required, lacks tutorials/samples
  • Base URL – https://api-prod.usefini.com (v2, Bearer Token auth)
  • Core Endpoints – /v2/bots/ask-question, /v2/bots/links/*, feedback, chat history
  • ⚠️ NO Official SDKs – Only Python and Node.js examples
  • Documentation Quality – 3/5 completeness, 2/5 error handling, 1/5 rate limits
  • Paramount – Open-source tool (github.com/ask-fini/paramount) for accuracy measurement
  • 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 A G Implementation & Accuracy
  • ✅ TRUE RAG architecture – Pinecone vector database (SOC 2 Type II) with Amazon S3 storage
  • Dynamic chunking – Algorithm adjusts chunk size based on token distribution for optimal retrieval
  • Relevance Score configuration – Adjustable trade-off between accuracy and completeness
  • Reverse Vector Search – Proprietary technique merging AI and user responses for improved relevance
  • ⚠️ NO published benchmarks – No quantitative accuracy metrics or validation vs competitors
N/A
N/A
Performance & Accuracy
  • Response time – Sub-500ms target for queries on Premium/Advanced with GPT-3.5 Turbo
  • User reviews – G2 4.7/5 (150+ reviews), Capterra 4.8/5 (50+ reviews)
  • Scalability – AWS infrastructure with isolated Kubernetes containers (Enterprise)
  • ⚠️ NO public SLA – No uptime guarantees except Enterprise (requires sales)
  • 97-98% Accuracy Claim – Column Tax (94%, 98% resolved), Qogita (90%, 121% SLA)
  • 6 Hallucination Prevention – RAGless, LLM filtering, confidence gating, guardrails, skill modules
  • Accuracy Tools – Sophia AI Evaluator (Growth/Enterprise), Paramount, CXACT Benchmarking
  • 80% Ticket Resolution – End-to-end without human intervention
  • 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
No- Code Interface & Usability
  • ✅ 15-minute deployment – Three-step: add data, define purpose, test and share
  • 11+ templates – Marketing, HR, IT Support, Sales, Training, Translator
  • Visual prompt builder – Variables, template sharing, intuitive UI
  • User ratings – G2 4.7/5, Capterra 4.8/5; easy setup, learning curve for customization
  • ⚠️ NO flow builder – Prompt-based only, no drag-and-drop designer
  • Time to Go Live – "2 minutes" setup, <1 week full integration, 1-2 weeks Enterprise
  • No-Code Deployment – Widget (JS snippet), Search Bar, Standalone, native helpdesk one-click, Chrome Extension
  • Admin Dashboard – Agent creation, Knowledge Hub (Notion/Confluence/Drive), Prompt Configurator (escalation, guardrails)
  • Pre-Built Templates – E-commerce, fintech, SaaS onboarding workflows
  • 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
Security & Privacy
  • ⚠️ CODY NOT SOC 2 certified – Early stage startup, infrastructure partners certified
  • Infrastructure compliance – Pinecone (SOC 2 Type II), AWS S3 (PCI-DSS, HIPAA, FedRAMP)
  • GDPR & encryption – AWS EU regions, SSE-S3 at rest, TLS in transit
  • AI training policy – Customer data NOT used for training, OpenAI retains max 30 days
  • Certifications – SOC 2 Type II (zero findings), ISO 27001, ISO 42001, GDPR
  • ⚠️ HIPAA Conflicting – Marketing claims vs. case study "next up" (verify)
  • ⚠️ PCI DSS – Claimed but not on official security section (verify)
  • PII Shield – Auto-masks SSN, passport, license, taxpayer ID, credit cards
  • Encryption – AES-256 at rest, TLS 1.3 in transit; "no training" policy
  • Access Controls – RBAC (Growth/Enterprise), SSO, audit logging, EU/US data residency
  • 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
Observability & Monitoring
  • Conversation logs – Centralized view with search, filtering by bot/date
  • Source verification – Click-through to examine documents used for auditing
  • Retention – 14 days (Basic), 30 days (Premium), 90 days (Advanced)
  • ⚠️ NO alerting/analytics – No real-time alerts, error rates, or funnel tracking
  • Fini 2.0 (Jan 2025) – AI resolution, quality, confidence, CSAT, agent productivity, drop-off analysis
  • Chat History (Feb 2025) – Centralized view with filtering; CSV/JSON export for Looker/Tableau
  • AI Categorization – Auto-tags by topic (returns, login, pricing, shipping)
  • Knowledge Gap Analysis – Identifies unanswerable questions with improvement suggestions
  • 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
Proprietary R A G Optimizations ( Differentiator)
  • Scratchpad – Save, refine, use derivatives of AI responses for micro-management and iterative enhancement
  • Template Mode – Pre-defined prompts with variables for consistent behavior across conversations
  • Reverse Vector Search – Proprietary technique merging AI and user responses for improved relevance
  • Persist Prompt – Continuous re-emphasis of system prompt preventing instruction drift in long conversations
N/A
N/A
Pricing & Scalability
  • Free – $0/month: 100 credits, 100 docs, 1 member, NO API/crawler
  • Basic – $29/month: 2,500 credits, 1K docs, 3 members, API, GPT-3.5 only
  • Premium – $99/month: 10K credits, 10K docs, 10 members, crawler, white-labeling
  • Advanced – $249/month: 25K credits, 50K docs total, 30 members, 90-day logs
  • Enterprise – Custom: Unlimited credits, SLA, dedicated infrastructure, 6 LLM providers
  • ⚠️ Pricing NOT Publicly Disclosed – Requires sales contact
  • Starter (Free) – GPT-4o mini, ~50 questions/month, ~50 docs, 2 bots
  • Growth (est. $999/mo) – GPT-4o mini/Claude, 1K docs, unlimited users, SOC 2, RBAC, Chat2KB
  • Enterprise (Custom) – GPT-4o, Multi-layer models, unlimited docs, AI Actions, white-glove onboarding
  • Zero-Pay Guarantee – Only pay if >80% accuracy met
  • 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
  • API docs – developers.meetcody.ai with endpoint reference, curl examples
  • Help Center – intercom.help/cody/en/ with guides, compliance, security bulletins
  • Active Discord – Peer support for troubleshooting and best practices
  • ⚠️ NO phone/live chat – Email and community only; Advanced gets account manager
  • Founding Team – Ex-Uber engineers; CEO led 4M+ interactions/month at Uber
  • Backed By – Y Combinator S22 ($125K), Matrix Partners, angels from Uber/Intercom/Softbank
  • Customers – HackerRank, Qogita, Column Tax, Bitdefender, Duolingo, Meesho, TrainingPeaks
  • Implementation – 60-day program; Enterprise gets dedicated AI engineers, 24/7 Slack
  • 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
  • ✅ TRUE RAG platform – Pinecone vector database, dynamic chunking, configurable retrieval parameters
  • Target audience – Business teams needing no-code deployment vs developer-centric platforms
  • Differentiators – Source attribution, Focus Mode, native Slack/Discord integrations
  • Enterprise considerations – Lack of direct SOC 2 may block regulated industry adoption
  • Platform Type – AGENTIC AI CUSTOMER SUPPORT with RAGless architecture, NOT traditional RAG-as-a-Service
  • Architectural Approach – Query-writing AI; "no embeddings, no hallucinations" with deterministic results
  • Sophie's 5-Layer Framework – 97-98% accuracy vs. ~80% competitors; Zero-Pay Guarantee
  • ⚠️ Developer Experience – Basic REST API (v2), NO SDKs, docs (3/5, 2/5, 1/5)
  • No-Code Capabilities – "2 minutes" setup, 20+ native helpdesk integrations, "Day 1 Ready-to-Use"
  • ⚠️ NOT A RAG PLATFORM – Explicitly positions AGAINST traditional RAG; fundamentally different
  • ⚠️ NOT Suitable For – General Q&A, content generation, no helpdesk, programmatic RAG API needs
  • 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 – Cody excels in no-code and source attribution; CustomGPT excels in SOC 2 and SDKs
  • vs Vectara – Cody offers simpler pricing and no-code; Vectara provides enterprise-grade benchmarks
  • vs ChatBase/SiteGPT – Cody provides TRUE RAG architecture vs simpler chatbot platforms
  • Market niche – Business-focused RAG for no-code deployment with source transparency
  • Market Position – Agentic AI for customer support; Sophie's 5-layer + RAGless claiming 97-98% accuracy
  • Key Competitors – Intercom Fin, Zendesk Answer Bot, Ada, Ultimate.ai, traditional RAG chatbots
  • Competitive Advantages – 97-98% accuracy vs. ~80%, 20+ native integrations, RAGless, 100+ languages, Zero-Pay Guarantee
  • Best Value For – Enterprises prioritizing accuracy, action-taking AI, regulated industries (fintech, healthcare)
  • 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
Use Cases
  • Primary departments – Marketing, HR, IT support, Sales with AI-powered assistance
  • Internal operations – FAQs, training, report generation, document search (1000s files)
  • Code assistance – Engineers save 5-6 hours/week, write code 2x faster
  • Industries – Financial (4/6 top US banks), tech (7/10 top), healthcare, government (15+ agencies)
  • Enterprise B2C Support – High-volume fintech, e-commerce, healthcare (80% resolution, 97-98% accuracy)
  • Action-Taking AI – Autonomous refunds, updates, CRM sync (Salesforce, Stripe, Shopify)
  • Helpdesk Integration – 20+ native platforms (Zendesk, Intercom, Salesforce, Front) without Zapier
  • PII-Sensitive Industries – Auto-masking SSN, passport, license, credit cards with PII Shield
  • ⚠️ NOT Suitable For – General Q&A, content generation, no existing helpdesk
  • 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
A I Models
  • Multi-LLM support – GPT-3.5 Turbo, GPT-3.5 16K, GPT-4, Claude Sonnet (paid tiers)
  • Enterprise (6 providers) – Llama 3.1, Claude 3.5 Sonnet, GPT-4o, Gemini 1.5, Mixtral-8x7B
  • Model-agnostic – Stay current with latest LLM updates without retraining
  • ⚠️ NO automatic routing – Manual model selection, no cost/complexity optimization
  • Starter (Free) – GPT-4o mini only (~50 questions/month)
  • Growth – GPT-4o mini + Claude, 1K docs, unlimited users
  • Enterprise – GPT-4o + Multi-layer automatic routing per query part
  • Target Accuracy – 97-98% claim with human-in-the-loop customization
  • ⚠️ No Manual Switching – Plan-based model selection only
  • 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
  • ✅ Pinecone vector database – SOC 2 Type II certified, Amazon S3 storage (SSE-S3)
  • Dynamic chunking – Adjusts chunk size based on token distribution for optimal retrieval
  • Token distribution – Split between context, history, response (70%/10%/20%)
  • Context window – Claude 2 integration provides up to 100K tokens
  • RAGless Architecture – Query-writing AI; "no embeddings, no hallucinations" with precise attribution
  • 6-Mechanism Prevention – LLM filtering, confidence gating, guardrails, deterministic skill modules
  • Real-time Knowledge – Content used immediately after ingestion without retraining
  • Chat2KB (Growth/Enterprise) – Auto-extracts Q&A with MECE classification, conflict resolution
  • Customer Results – Column Tax (94%, 98% resolved), Qogita (90%, 121% SLA)
  • 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
Customization & Flexibility ( Behavior & Knowledge)
  • Real-time knowledge updates – Manual retraining available for immediate updates
  • Focus Mode – Inject up to 1,000 specific documents for targeted context
  • Bot personality – Adjust behavior, tone, focus with custom starters
  • ⚠️ NO programmatic personality – Dashboard-only, cannot modify per-user or via API
  • Guidelines System – Tone, phrases, forbidden terms, formatting, response length
  • Bot Management – Starter 2 bots → Growth/Enterprise unlimited
  • Real-time Learning – Chat2KB auto-learning (MECE), Flows for specialized workflows
  • Dynamic Personalization – User context from backend, segment-based routing
  • 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
Limitations & Considerations
  • Learning curve – Easy setup but customization requires expertise for specific needs
  • Accuracy data-dependent – Response quality relies heavily on knowledge base quality
  • Complex coding challenges – Struggles with deeper logic, scalability, multi-step coding
  • ⚠️ NO YouTube/cloud integrations – No video transcripts, Google Drive/Dropbox/Notion need Zapier
  • Performance with large data – Speed may slow with large datasets on lower-end systems
  • ⚠️ Pricing Opacity – No public pricing creates evaluation friction
  • ⚠️ HIPAA & PCI DSS Unverified – Conflicting claims require verification
  • ⚠️ Documentation Limitations – Basic API docs (3/5, 2/5, 1/5), no SDKs
  • ⚠️ Small Team (14 employees) – Limited capacity vs. enterprise competitors
  • ⚠️ Platform Lock-In – Requires existing helpdesk (Zendesk/Intercom/Salesforce)
  • Best For – Enterprise B2C high-volume prioritizing 97-98% accuracy, 60-day commitment
  • 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
  • GUI Widget Editor – Logo, colors, title, messages, FAQs (⚠️ CSS not documented)
  • White-Labeling – Custom domain (CNAME), full logo replacement, agent identity renaming
  • 100+ Tone Options – Friendly, Professional, TaxAssistant, Finance advisor, Casual, polite
  • Dynamic Routing – User context (VIP, first-time, veteran) for metadata-driven personalization
  • 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
Additional Considerations
N/A
  • RAGless Positioning – Criticizes RAG as "search engines" claiming "will become obsolete"
  • Action-Taking Focus – Actions vs. information ("Done! Refund processed" vs. "Find details here")
  • Target Customer – Enterprise B2C high-volume (fintech, e-commerce, healthcare)
  • vs. Intercom Fin – Claims 95%+ accuracy vs. ~80%; platform agnostic
  • ⚠️ Less Suitable For – General Q&A, content generation, standalone chatbots
  • 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
Security & Compliance
N/A
  • SOC 2 Type II – Zero audit findings per Sprinto
  • ISO 27001 & 42001 – Information security + AI governance
  • GDPR Compliant – Full data subject rights, EU data residency
  • ⚠️ HIPAA Conflicting – Marketing claims vs. case study "next up" (verify)
  • ⚠️ PCI DSS – Claimed but not on official security page (verify)
  • "No Training on Data" – OpenAI DPA; PII Shield; AES-256, TLS 1.3
  • 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
  • ⚠️ Pricing NOT Publicly Disclosed – Requires sales contact
  • Starter (Free) – GPT-4o mini, ~50 questions/month, ~50 docs, 2 bots
  • Growth (est. $999/mo) – GPT-4o mini/Claude, 1K docs, unlimited users, SOC 2, RBAC, Chat2KB
  • Enterprise (Custom) – GPT-4o, Multi-layer models, unlimited docs, AI Actions, white-glove onboarding
  • Zero-Pay Guarantee – Only pay if >80% accuracy met (unique risk mitigation)
  • 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
  • Founding Team – Ex-Uber engineers; CEO led 4M+ interactions/month; Y Combinator S22, Matrix Partners
  • Customers – HackerRank, Qogita, Column Tax, Bitdefender, Duolingo, Meesho
  • 60-Day Implementation – Discovery → Deployment → Optimization → Production with dedicated managers
  • Enterprise Support – Dedicated AI engineers, CSMs, 24/7 Slack channels
  • ⚠️ Documentation Quality – 3/5 completeness, 2/5 error handling, 1/5 rate limits; NO SDKs
  • 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
  • Sophie AI Agent – Fully autonomous resolving 80% of tickets end-to-end without human intervention
  • 5-Layer Execution – Safety Guardrails (40+ filters, PII), LLM Supervisor, Skills, Feedback, Traceability
  • Multi-Layer Architecture (Enterprise) – Automatic routing to best LLM per query part; specialized agents
  • Action-Taking – Autonomous refunds, updates, CRM sync (Salesforce, Stripe, Shopify)
  • 100+ Languages – Automatic translation with locale-based routing
  • 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: CODY AI vs Fini AI

After analyzing features, pricing, performance, and user feedback, both CODY AI and Fini AI 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 Fini AI

  • You value industry-leading 97-98% accuracy claim backed by customer testimonials
  • True action-taking capabilities - executes refunds, KYC, account updates beyond Q&A
  • RAGless architecture eliminates hallucinations with precise source attribution

Best For: Industry-leading 97-98% accuracy claim backed by customer testimonials

Migration & Switching Considerations

Switching between CODY AI and Fini AI 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 Fini AI begins at custom pricing. 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 CODY AI and Fini AI 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 3, 2026 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.

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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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