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Developer-focused platform to build and deploy AI agents across widgets, messaging apps, and SDKs, with security and observability.
Platform to build AI customer-service agents trained on your data that answer 24/7, take real actions and hand 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.
Prompt engineering, management, and LLM observability platform.
Free trial available
Free trial available
No public pricing
No public pricing
- ✦Build agents from datasets, skillsets, integrations
- ✦Embeddable widgets and SDKs
- ✦Messaging channels (Slack, Discord, WhatsApp, Telegram)
- ✦OAuth and MCP integrations
- ✦Bring-your-own model support
- ✦Whitelabel and custom branding
- ✦Observability, security, governance
- ✦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
- ✦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)
- ✦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
- ✦Prompt management
- ✦Prompt evaluations
- ✦LLM observability
- ✦Team collaboration
- ✦Version control for prompts
- ✦A/B testing of prompts
- ✦Prompt Registry
- ✦Historical backtests
- ✦Regression tests
- ✦Usage monitoring
- →Building custom AI agents for support or leads
- →Embedding AI widgets on websites and apps
- →Deploying agents across messaging platforms
- →Automate customer support
- →Book meetings and complete tasks in chat
- →Capture and qualify leads
- →Keep answers current via auto-retrain
- →Automating PR code review
- →Raising test coverage
- →Incident investigation and remediation
- →Large-scale migrations and onboarding
- →Joining AI hackathons
- →Building and showcasing AI prototypes
- →Learning new AI tools
- →Networking with AI builders and labs
- →Scaling customer support automation with LLMs
- →Empowering non-technical teams with prompt engineering
- →Building personalized AI interactions
- →Debugging LLM agents
- →Improving content creation processes
- →Managing and monitoring prompts with a team