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AI customer-support automation with cobrowsing that resolves tickets by extracting answers from help docs and past tickets.
Agentic coding platform (Cosmos) that runs software-dev agents at org scale, using a codebase context engine to cut token cost.
Developer framework and LlamaParse service for parsing documents and building AI agents and RAG workflows over them.
Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.
No public pricing
Free trial available
No public pricing
No public pricing
No public pricing
- ✦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
- ✦Context Engine for codebase understanding
- ✦Agents across the full SDLC
- ✦Model routing / bring-your-own-keys
- ✦Automated code review and test coverage
- ✦CLI, MCP and native tool integrations
- ✦Enterprise security (SOC 2, ISO 42001, SSO)
- ✦LlamaParse document parsing and extraction
- ✦Open-source framework for AI agents and workflows
- ✦Document indexing for retrieval/RAG
- ✦Prebuilt solutions by industry and use case
- ✦Free starter credits for LlamaParse
- ✦Lifelike voice AI agents
- ✦24/7 availability
- ✦Customer-led conversational platform
- ✦Integration with enterprise systems
- ✦Chat with your documents (RAG)
- ✦Runs locally and offline for privacy
- ✦Supports any LLM (local or cloud)
- ✦Built-in AI agents
- ✦Handles PDFs, Word, CSV, codebases
- ✦No-code setup
- →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
- →Automating PR code review
- →Raising test coverage
- →Incident investigation and remediation
- →Large-scale migrations and onboarding
- →Parse complex documents for AI apps
- →Build RAG and agent workflows
- →Automate invoice and claims processing
- →Search across technical documents
- →Answering customer service calls
- →Providing information and support
- →Resolving customer issues
- →Automating call center operations
- →Privately querying your own documents
- →Running local AI without the cloud
- →Building AI agents over your data
- →Using multiple LLM providers in one app