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Platform to build AI customer-service agents trained on your data that answer 24/7, take real actions and hand off to humans.
No-code chatbot builder powered by GPT for customer support and sales, trainable on your documents across multiple channels.
TypeScript backend-as-a-service with a reactive database, server functions, auth and file storage for full-stack and AI apps.
Agentic coding platform (Cosmos) that runs software-dev agents at org scale, using a codebase context engine to cut token cost.
Free trial available
No public pricing
Free trial available
No public pricing
- ✦AI agents trained on website/docs with auto-retrain
- ✦AI Actions (Stripe billing, Calendly booking, API calls)
- ✦Multi-channel embed (site, Slack, Notion and more)
- ✦Human handoff with context
- ✦Analytics on deflection and satisfaction
- ✦Multiple LLMs selectable per task
- ✦No-code chatbot builder
- ✦GPT-powered, trained on your documents
- ✦Multi-channel deployment
- ✦Support automation with ticketing integration
- ✦Lead generation and sales follow-ups
- ✦Analytics and multi-language support
- ✦Reactive real-time database
- ✦TypeScript server functions (queries/mutations/actions)
- ✦Built-in authentication
- ✦Cron jobs and backend workflows
- ✦File storage, text and vector search
- ✦ACID transactions; open-source/self-host
- ✦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)
- ✦Collection of MCP Servers
- ✦Search and discovery of MCP Servers
- ✦MCP Client directory
- ✦Community platform for sharing and learning about MCP Servers
- →Automate customer support
- →Book meetings and complete tasks in chat
- →Capture and qualify leads
- →Keep answers current via auto-retrain
- →Automating 24/7 customer support
- →Qualifying and following up on sales leads
- →Answering FAQs on a website
- →Deploying multilingual chat support
- →Building real-time reactive apps
- →Backends for AI agents
- →Replacing Firebase or Supabase
- →Full-stack TypeScript development
- →Automating PR code review
- →Raising test coverage
- →Incident investigation and remediation
- →Large-scale migrations and onboarding
- →Enhancing AI capabilities by connecting to external data sources and tools
- →Integrating AI models with various services like databases, APIs, and file systems
- →Building AI applications that can access real-time information and perform actions
- →Connecting Claude to MCP servers to access external data sources and tools