
Berlin-based Qontext, a developer of an independent context layer for artificial intelligence, has raised $2.7 million in pre-seed funding.
SUMMARY
- Berlin-based Qontext, a developer of an independent context layer for artificial intelligence, has raised $2.7 million in pre-seed funding.
The funding round was led by HV Capital, with participation from Zero Prime Ventures and angel investors including Jan Oberhauser (n8n), Emil Eifrem (Neo4j), and Bastian Nominacher (Celonis).
The company plans to use the funding to enhance its platform capabilities and expand its team, focusing on building reusable context infrastructure for AI applications.
Led by CEO Lorenz Hieber and CTO Nikita Kowalski, Qontext builds a foundational infrastructure layer that separates business context like product data, policies, and customer history from AI models and applications, enabling organizations to manage a unified solution for all AI agents and automated workflows.
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Qontext currently serves high-growth startups and large enterprises, focusing on marketing, sales, and support departments.
Founded in 2025, Qontext builds an independent context layer for AI, enabling companies to run all AI processes on a single, reusable, up-to-date context base.
The platform ingests and unifies data from CRMs, documents, emails, chats, and other internal systems. By centralizing business knowledge and providing governance controls, Qontext helps organizations scale AI reliably across teams and functions. Headquartered in Berlin, Germany, it serves startups and enterprises seeking to maximize AI capabilities across marketing, sales, support, and operations.
About Qontext
Qontext transforms company context into reusable intellectual property providing a foundational infrastructure that enables organizations to scale AI effectively across teams and functions, ensuring consistent, governed and efficient use of data for all AI processes.
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