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CODY AI

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.

Overall Rating

4.3

156 reviews

Features4.3
Ease of Use4.5
Support4.1
Value4.4
Performance4.2

Company Information

Founded

2022

Headquarters

United States

Company Size

11-50 employees

Funding

Bootstrapped

Pros

  • 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
  • Multi-LLM flexibility on Enterprise: 6 providers (GPT-4, Claude 3.5, Gemini 1.5, Llama 3.1, Mixtral-8x7B) enable model experimentation
  • No-code interface with 15-minute bot deployment and 11+ pre-built templates (Marketing, HR, IT, Customer Support, Sales, Training)
  • Comprehensive REST API v1.0 with SSE streaming, document upload (100MB max), conversation management, folder organization
  • Native Slack/Discord integrations (free for all users) vs competitors requiring paid tiers or Zapier workarounds
  • Dynamic chunking algorithm adjusting chunk size based on token distribution for optimal retrieval performance
  • Website crawler (Premium/Advanced) supporting up to 25,000 pages with automatic recurring re-imports for 9 websites
  • Credit-based pricing model ($29-$249/month) offers predictable costs with clear per-query consumption (1-10 credits based on model)
  • Customer data explicitly NOT used for AI training with 30-day maximum retention by OpenAI API for abuse monitoring only

Cons

  • NO direct SOC 2 certification - CODY itself not certified, relies entirely on infrastructure partners (Pinecone SOC 2, AWS compliance)
  • Enterprise procurement concern: 'As an early stage startup, we are diligently working towards earning SOC 2 compliance' may block regulated industry adoption
  • NO official SDKs for Python, JavaScript, Node.js - all integrations require direct REST API calls (development friction vs SDK-equipped platforms)
  • NO native cloud storage integrations - Google Drive, Dropbox, Notion require Zapier workarounds without direct OAuth connections
  • NO YouTube transcript support - cannot ingest video content from YouTube for knowledge base training
  • NO native lead capture functionality - requires custom implementation via API or complex Zapier workflows
  • NO automated human handoff workflows - escalation achieved only through prompt engineering with manual contact info (vs automated queue routing)
  • NO Microsoft Teams native integration - requires third-party Zapier workaround despite enterprise demand
  • NO webhook functionality explicitly documented - limits event-driven architecture patterns and real-time notifications
  • NO WhatsApp Business native integration - requires Zapier ecosystem vs competitors' native support
  • NO domain restriction capabilities documented - cannot limit widget usage to specific domains (security risk for production deployments)
  • NO automatic model routing - users must manually select LLM models, no dynamic routing based on query complexity or cost optimization
  • NO published benchmark results or quantitative RAG accuracy metrics - no validation of retrieval performance claims
  • Website crawler restricted to Premium ($99/month) and Advanced ($249/month) - unavailable on Free/Basic limiting use cases
  • White-labeling requires Premium ($99/month) minimum - branding removal not accessible on Free/Basic tiers
  • Conversation log retention tiered: 14 days (Basic), 30 days (Premium), 90 days (Advanced) - constrains historical analysis on lower plans
  • Advanced analytics dashboard features mentioned in third-party sources lack detailed documentation or public screenshots (transparency gap)
  • Documentation quality functional but limited - lacks tutorials, cookbooks, comprehensive code samples for advanced implementations

Best Use Cases

Business AI assistants trained on custom knowledge bases (customer support, HR, IT support, sales, marketing)
No-code chatbot deployment for non-technical teams (15-minute bot creation claimed)
Knowledge-base Q&A with source verification and citation attribution
Internal documentation assistant with Focus Mode for department-specific contexts
Multi-model LLM experimentation (GPT-4, Claude 3.5, Gemini 1.5, Llama 3.1 on Enterprise)
Slack/Discord workspace AI assistants with native integrations
Website FAQ automation with embedded chat widgets (inline or popup)
NOT optimized for: Enterprise procurement requiring direct SOC 2 certification, complex event-driven architectures needing webhooks, native cloud storage sync

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