Klavis AI
Provides live environments for training AI agents, supplying real-world MCP environments,
Klavis AI is a platform for creating training data for coding and agentic tool-use models, aimed at frontier AI labs. It addresses the limitations of short prompts, demo-only tool calls, and subjective scoring by providing long-horizon tasks with programmatic verification and verifiable rewards.
For coding data, the platform offers long-horizon tasks involving code editing, test writing, and debugging, with deterministic tests, granular rewards, and Docker-packaged environments for RL and SFT. For agentic data, it provides long-horizon workflows across live SaaS apps, production MCP servers, and 600+ real tools, with logically consistent state, noisy inputs, and deterministic, rubric, and LLM-judge rewards.
The platform is designed for AI labs and enterprises. It offers isolated sandbox instances, ultra-realistic environments, multi-domain task data, horizontal scaling, and RL training readiness. Pricing is available through contact with the company.
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