Berlin-based Qontext secured $2.7 million in a pre-seed round led by HV Capital, with participation from Zero Prime Ventures and an elite group of European SaaS founders from Celonis, n8n, and Neo4j.
Led by CEO Lorenz Hieber and CTO Nikita Kowalski, Qontext treats business knowledge as an independent infrastructure layer. Instead of rebuilding data pipelines for every new agent, companies maintain a centralized, up-to-date context base that feeds any model or workflow. This “compound asset” approach to organizational knowledge mirrors the autonomous ontology used in Nullify’s product security workforce.
Market Signal
- The Reusability Alpha: Qontext identifies that the primary bottleneck to AI ROI is not model capability, but fragmented data. By turning scattered documentation into reusable context, they reduce the “implementation tax” of new AI projects, allowing enterprises to scale automation rates from isolated pilots to across-the-board deployment.
- Founder-Led Ecosystem: The participation of founders from Celonis (process mining) and n8n (automation) signals strong conviction that a dedicated “context layer” is the missing middle-ware required for the next phase of enterprise automation.
- The Versioning Friction: A primary execution hurdle is “Context Decay”; for the platform to remain reliable, it must solve for real-time synchronization across hundreds of conflicting SaaS data sources without introducing latency or governance breaches in high-volume production environments.
Key Details
- Funding: $2.7M
- Lead Investor: HV Capital
- CEO: Lorenz Hieber
- Use Case: Independent, reusable context layer for enterprise AI processes
