Managed sandboxes with auth, seeded state, state export, resets, and parallel isolation for training and eval runs.
Train agents on realistic, long-horizon, complex agentic tasks that span browser sessions, computer actions, code repos, SaaS tools, and MCP servers.
Discover what our community has to say about their Klavis experience.
@MCP_Community
“the entire @Klavis_AI team for turning complex MCP infrastructure into plug-and-play simplicity. Enterprise-grade tools without the enterprise headaches!”
“Today, we are launching and open-sourcing Eval Protocol: a framework to run RL directly on your production agents. EP brings the training loop to your agent wherever it lives—with day-0 integrations including Klavis AI (YC X25)—streams traces back, and computes rewards to update the model.”
Founder @The AI Opportunity
“Xiangkai built the tool-calling infra at Google Gemini — before MCPs even existed 🤯 He saw the limits of traditional APIs for agents. And knew the real unlock wasn't smarter models”
“Automate your next sales follow-up! All powered by CrewAI + Klavis AI (YC X25) MCP — no manual coding of OAuth flows, no glue scripts.”
“Build AI agents that connect to YouTube, Gmail and other services in just a few lines of code using LlamaIndex and @Klavis_AI's MCP servers!.”
“Congrats to the Klavis AI (YC X25) team! Now you can use Together AI + MCP servers to securely connect tools like Salesforce & Gmail and let AI run real workflows.”
We are SOC 2 Type II and GDPR compliant, ensuring enterprise-grade security for your data.
We've raised seed round from the best firms including HSG (formerly Sequoia China) and Y Combinator.
