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AI operating system for car dealerships with voice AI, a smart inbox and agents that capture leads and lift service revenue.
Developer framework and LlamaParse service for parsing documents and building AI agents and RAG workflows over them.
AI-powered knowledge base software for building internal and external docs, help centers, SOPs, and API references with analytics.
Open-source testing platform where AI agents drive your app end-to-end to catch regressions on every PR, no test code needed.
No public pricing
No public pricing
No public pricing
Free trial available
- ✦Voice AI with full customer context
- ✦AI-native Smart Inbox across channels
- ✦LiveCSI real-time satisfaction monitoring
- ✦Service Advisor Agent
- ✦Heat Case and Opportunity Agents
- ✦Mobile app
- ✦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
- ✦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
- ✦AI-powered conversational video interviews (speak, see, hear)
- ✦Automated candidate screening and ranking
- ✦Speech emotion recognition and facial expression detection
- ✦Smart follow-up questions
- ✦Automatic summaries and AI tagging
- ✦Workflow integrations
- ✦Job Description Generation
- ✦Recruiter Customization
- ✦Real-Time Evaluation & Scoring
- ✦AI agents navigate your app in real browsers
- ✦One-command setup that maps flows and drafts tests
- ✦SDK to seed and tear down real data
- ✦Runs on every PR against preview deploys
- ✦No test code required
- ✦Open-source with a self-hosted option
- ✦Integrates with GitHub, Vercel and Linear
- →Answering dealership calls and messages
- →Rescuing and booking service leads
- →Resolving customer complaints (heat cases)
- →Boosting service-advisor productivity
- →Parse complex documents for AI apps
- →Build RAG and agent workflows
- →Automate invoice and claims processing
- →Search across technical documents
- →Building external product documentation
- →Running internal knowledge bases
- →Publishing SOPs and user manuals
- →Creating API documentation
- →Efficiently managing complex hiring pipelines for enterprises.
- →Automating candidate screening to find the best candidates.
- →Conducting consistent and insightful interviews at scale.
- →Generating rich insights from candidate interactions for better decision-making.
- →Catching regressions before merging PRs
- →End-to-end testing without writing scripts
- →QA for fast-shipping product teams
- →Self-hosted testing on your own infrastructure