We are a Berlin-based team of builders. Before Qontext, we built AI products and data infrastructure, and we kept hitting the same wall: the models improved fast, but the company context they ran on stayed scattered across tools, docs, and people. Every new agent started by learning the company from zero.

That's why we decided to build the missing layer. Qontext structures, curates, and governs what a company knows in one self-maintaining context repository, agent-first and permission-aware, ready for every AI agent to use.

As work becomes AI-native, context stops being a documentation problem and turns into core infrastructure. We intend to set the standard for it.