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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.
AI support agent trained on your site and docs; answers 24/7 in ten languages, books meetings and hands off to humans.
Agentic coding platform (Cosmos) that runs software-dev agents at org scale, using a codebase context engine to cut token cost.
Community platform running free online and hybrid AI hackathons where builders form teams and ship prototypes with new AI tech.
Free trial available
Free trial available
No public pricing
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
- ✦Train on website, PDFs and Q&A pairs
- ✦One-line script embed for any platform
- ✦24/7 replies in ten languages
- ✦Meeting booking via Calendly/Cal
- ✦In-chat lead capture forms
- ✦Human handoff with shared inbox
- ✦White-label widget on paid plans
- ✦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
- ✦AI hackathon events (online and hybrid)
- ✦Team formation and mentorship
- ✦Boilerplates and tutorials
- ✦Project submissions and leaderboard
- ✦Access to sponsor AI tech and credits
- ✦Builder community
- →Automate customer support
- →Book meetings and complete tasks in chat
- →Capture and qualify leads
- →Keep answers current via auto-retrain
- →Automate website customer support
- →Book meetings from chat
- →Capture and qualify leads
- →Answer product FAQs from your own content
- →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
- →Joining AI hackathons
- →Building and showcasing AI prototypes
- →Learning new AI tools
- →Networking with AI builders and labs