Klavis AI Analysis
What is Klavis AI?
Klavis AI provides live sandbox environments for training and evaluating AI agents on realistic, long-horizon workflows. The company says it powers frontier AI labs with real-world MCP environments and agentic tool-use data. Its site highlights managed sandboxes, authentication, seeded state, state export, resets, and parallel isolation for agent testing.
Location
San Francisco, California, United States
Employees
1-10
Founded
2025
Business Model
Subscription-based model with tiered pricing: free, $99/month, $499/month, custom enterprise.
Y Combinator Partner
Diana Hu
YC Batch
X25
Yc Primary Partner
Diana Hu
Product Features & Capabilities
- hosted MCP servers, secure OAuth integration, clients for Slack and Discord, dynamic tool integration at runtime, support for Python, TypeScript, and PHP, stable and reliable MCP servers, high-quality hosted MCP servers, streamlined MCP server communications.
Pricing
- Hobby: Free for 3 user accounts and 100 API calls/month.
- Pro: $99/month for up to 100 user accounts and 10,000 MCP server calls/month.
- Team: $499/month for up to 500 user accounts and 100,000 MCP server calls/month.
- Enterprise: Custom pricing based on usage and needs.
Who are the founders of Klavis AI
XZ
Xiangkai Zeng
Co-founder @ Klavis AI (YC X25), ex-Google DeepMind
Market Focus
Klavis AI primarily focuses on the artificial intelligence industry, specifically providing open-source infrastructure for integrating Model Context Protocols (MCP) for AI applications.
Competitors Overview
Klavis AI operates in a competitive landscape with several notable competitors in the AI applications and open-source infrastructure market. The main competitors include:
-
Dify: A popular LLMOps platform that is both web-based and self-hosted. Dify emphasizes prompt engineering and visual operations, making it user-friendly for developers.
-
ActorCore: This platform offers a stateful serverless environment, which allows for efficient management of AI applications without the need for extensive infrastructure setup.
-
VoltAgent: A TypeScript framework designed for AI applications, providing developers with tools to build and deploy AI solutions effectively.
-
Rivet.gg: An open-source platform focused on building AI agents and multiplayer applications, emphasizing real-time backend capabilities.
-
Supermachine: Provides managed, hosted MCP servers that grant instant access to a wide array of AI agent tools, simplifying the development and deployment process.
-
Natoma MCP Platform: This platform focuses on seamless integration of AI agents with enterprise tools, highlighting security and scalability as key features.
-
MCP Server Hub: A repository for discovering and implementing MCP servers, facilitating connections between LLM applications and external data sources.
-
MCP Registry: A central hub for MCP servers that enhances the capabilities of large language models through tool interaction.
-
Hugging Face: Known for its collaborative tools for sharing machine learning models, Hugging Face has raised significant funding and is a leader in the AI community.
-
Kaggle: An online platform for data science and machine learning competitions, offering a wealth of resources and community support for developers.
-
Outerbounds: An AI-based open-source machine learning platform that provides tools for building and deploying machine learning models.
These competitors each have unique strengths, such as ease of integration, security features, and access to a wide range of tools, which differentiate them from Klavis AI's offerings.
Company Pricing
- Hobby: Free for 3 user accounts and 100 API calls/month.
- Pro: $99/month for up to 100 user accounts and 10,000 MCP server calls/month.
- Team: $499/month for up to 500 user accounts and 100,000 MCP server calls/month.
- Enterprise: Custom pricing based on usage and needs.
See something that needs updating? Suggest edits to this profile.