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Developer-focused platform to build and deploy AI agents across widgets, messaging apps, and SDKs, with security and observability.
Prompt engineering, management, and LLM observability platform.
Agentic coding platform (Cosmos) that runs software-dev agents at org scale, using a codebase context engine to cut token cost.
Platform to build AI customer-service agents trained on your data that answer 24/7, take real actions and hand off to humans.
AI coding platform and IDE that orchestrates multiple agent sessions and lets teams plug in their own AI subscriptions.
No public pricing
Free trial available
Free trial available
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
- ✦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
- ✦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 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
- ✦AI coding IDE with agent orchestration
- ✦Run and manage multiple agent sessions
- ✦Task, artifact and collaboration tools
- ✦Bring-your-own AI subscription or API keys
- ✦Cloud-scale agent execution
- →Building custom AI agents for support or leads
- →Embedding AI widgets on websites and apps
- →Deploying agents across messaging platforms
- →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
- →Automating PR code review
- →Raising test coverage
- →Incident investigation and remediation
- →Large-scale migrations and onboarding
- →Automate customer support
- →Book meetings and complete tasks in chat
- →Capture and qualify leads
- →Keep answers current via auto-retrain
- →Shipping code faster with AI agents
- →Coordinating agent work across a team
- →Managing tasks and artifacts in one place
- →Running many parallel agent sessions