KlavisAI

Klavis AI is the MCP infrastructure layer for AI. We provide sandboxed environments for training LLMs on tool use, and enterprise-grade integrations for AI apps with auth built in

KlavisAI operates an MCP infrastructure layer behind a set of AI products: sandboxed environments where large language models can be trained on tool use, plus enterprise integrations for AI apps with authentication already built in. On its own site, the company frames this work as supplying frontier AI labs with live environments and long-horizon agentic tool-use data rather than short demo prompts.

Its coding-data offering replaces brief, manually reviewed prompts with long-horizon coding tasks that include editing, test-writing, and debugging loops, run inside Dockerized environments with programmatic verification and granular rewards instead of a simple pass-or-fail check. A parallel tool-use product covers more than 600 real apps, using workflows that change state and a mix of deterministic, rubric-based, and LLM-judge scoring so the resulting data reflects how tools behave in production. The company, backed by Y Combinator, sits in the Automation category among agent-focused tools here.

Pricing is not published on the site beyond a bare pricing link, and the main call to action is to contact the team directly, so it is unclear whether KlavisAI is priced by project, subscription, or custom agreement. Teams that need realistic tool-use or coding data for training agents can reach out to discuss their use case.

Category: Automation. Pricing: freemium. Visit website

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