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AI customer-support automation with cobrowsing that resolves tickets by extracting answers from help docs and past tickets.
Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.
AI chatbot builder that trains a support agent on your website content in minutes to deflect tickets and capture leads with cited answers.
AI-powered knowledge base software for building internal and external docs, help centers, SOPs, and API references with analytics.
Managed context/RAG API that indexes, parses and retrieves documents, images, audio and video for developers building AI agents.
No public pricing
No public pricing
No public pricing
Free trial available
- ✦AI ticket automation across channels
- ✦Cobrowsing for guided support
- ✦Answers extracted from help docs and past tickets
- ✦Step-by-step guided resolutions
- ✦Support analytics and content-gap detection
- ✦One-click integrations with existing helpdesks
- ✦Persistent, structured memory built as a knowledge graph
- ✦Sub-300ms hybrid retrieval (RAG) with reranking
- ✦Native filesystem mount for agent memory access
- ✦Connectors to Slack, Notion, Drive, Gmail, GitHub, S3
- ✦Automatic extraction from PDFs, images, and audio
- ✦User profile and behavior tracking across sessions
- ✦Fast setup trained directly on website content
- ✦Answers cited back to source content
- ✦Inbound lead capture with automated follow-up
- ✦Integrations with existing support/marketing stack
- ✦Self-improving responses over time
- ✦Knowledge base authoring portal
- ✦Customizable customer-facing docs site
- ✦Eddy AI assistant and AI chatbot
- ✦Analytics and custom workflows
- ✦Import from PDF/Word, export to PDF
- ✦SSO, SCIM, and API support
- ✦Hybrid vector, keyword and summary indexing
- ✦Native connectors to Google Drive, Notion, Slack and others
- ✦Multimodal ingestion of text, PDF, image, audio and video
- ✦Agentic OCR document parsing with structured extraction
- ✦Custom entity extraction via plain-language instructions
- ✦MCP server for permissioned agent access
- ✦Multi-tenant data partitioning
- →Automatically resolve common support tickets
- →Deflect inquiries with self-serve answers
- →Guide customers through resolutions
- →Cobrowse to assist users in real time
- →Spot content gaps and trends
- →Developers adding long-term memory to AI agents
- →Teams building agents that need to sync with existing tools
- →Individuals wanting one memory layer shared across multiple AI assistants
- →SaaS companies deflecting repetitive support questions
- →Marketing teams capturing and qualifying leads via chat
- →Support teams wanting AI answers backed by verifiable sources
- →Building external product documentation
- →Running internal knowledge bases
- →Publishing SOPs and user manuals
- →Creating API documentation
- →Adding accurate retrieval/context to an AI agent or assistant
- →Building AI search over a company's Drive/Notion/Slack knowledge base
- →Extracting structured entities and tables from documents at scale