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Analysis
AddedJun 26, 2026
UpdatedJun 30, 2026
Klavis AI

Klavis AI

Klavis AI supplies high-quality coding and agentic tool-use data for frontier AI labs.

HQ
San Francisco, CA, US
Founded
2025
Accelerator
Y Combinator logoY CombinatorX25
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Contents

  1. 01Products & Services
  2. 02Market Outlook
  3. 03Competitive Strengths
  1. 01Products & Services
  2. 02Market Outlook
  3. 03Competitive Strengths

Product Overview

Klavis AI operates an open-source MCP integration platform and produces coding and agentic tool-use data for frontier AI labs. The platform offers hosted MCP servers with built-in OAuth and multi-tenancy, plus prebuilt client interfaces for Web, Slack, and Discord.

Its Strata product guides AI agents through thousands of tools across multiple apps using tiered discovery rather than flat function lists. The data side supplies long-horizon coding tasks and realistic tool-use workflows with programmatic verification, Dockerized environments, and granular rewards for RL and SFT.

Market Outlook

Demand is growing for infrastructure that lets AI agents reliably use external tools, as model providers and application developers look beyond simple function calling to long-horizon, multi-app workflows. The Model Context Protocol has gained traction as a common integration layer, creating a market for hosted MCP servers, auth middleware, and client tooling.

Frontier AI labs also need high-quality, verifiable training data for coding and agentic tasks, since static benchmarks and toy environments often fail to transfer to production. Providers that can combine live tool environments with programmatic verification are positioned to serve both infrastructure and data buyers.

Competitive Advantages

Klavis AI reduces context overload for agentic tool use through Strata's tiered discovery path, which guides models from intent to category to action instead of dumping all tool descriptions into a prompt. The team's experience building function calling for Google Gemini informs the design of reliable, production-grade MCP infrastructure.

The open-source distribution model, combined with hosted API access and built-in OAuth, lowers adoption friction for developers while giving enterprises the security and multi-tenancy controls they need. Real-tool workflows across live SaaS apps provide verifiable rewards that are harder to generate with static benchmarks.