About Intentee

What do we do?

Intentee develops products that help organizations self-host and use AI, from running open-source LLMs at scale to creating interactive documentation, collaborating on MCP servers, and letting non-technical employees create tools they need themselves.

Our vision

In the near future, most digital products won't need to be built by programmers. This is a clear trend, and we want to radically accelerate it. We're building tools that will enable other employees and domain experts to build most applications and digitize processes themselves, in a way that doesn't just avoid adding to their workload, but actually makes their jobs easier.

Why self-hosted AI?

We're highly focused on open-source AI to ensure organizations can better control AI-associated costs compared to other providers, while maintaining data privacy and independence from changes in closed-source services. We enable our clients to keep artificial intelligence entirely on their own infrastructure, helping them meet regulatory compliance and privacy requirements.

Our products

  • Paddler- Host and serve open-source LLMs on your own infrastructure at scale

  • Poet (alpha version)- Transform static documentation into interactive, AI-searchable content

  • Grouper (planned) - Enable cross-functional teams to collaborate on MCP server implementations

  • Rewire (planned) - Create systems and applications without generating any traditional code layer

Team

Mateusz Charytoniuk, co‑founder, technology

Mateusz Charytoniuk, co‑founder, technology

Software architect who's built everything from game engines to LLMOps tools. Experienced leader of technological teams. With 16 years of building complex systems across multiple technologies, he knows exactly how to architect AI products that last.

Małgorzata Zagajewska, co‑founder, product

Małgorzata Zagajewska, co‑founder, product

Ex-head of product at Packhelp, where she led internal tools and applications. Built products at organizations of different sizes, giving her insights into why traditional software development practices should no longer be maintained.