Qontext is building an independent context layer for AI that provides production AI systems with relevant, up-to-date contextual information (customers, products, processes, policies) to enable scalable, reliable AI across functions like marketing, sales, and customer support.
Investment Rounds
Capital activity and funding progression
| Amount | Date | Round |
|---|---|---|
| €2.7 M | Feb, 2026 | pre-seed |
Frequently Asked Questions
Where is Qontext located?
Qontext is located in Berlin, Germany.
What industries does Qontext operate in?
Qontext operates in the following industries: artificial intelligence, enterprise software, data infrastructure, automation.
When was Qontext founded?
Qontext was founded on 2026-02-05.
How much total funding has Qontext raised?
Qontext has raised a total of $2,700,000.
Who are the investors in Qontext?
The investors in Qontext are: Jan Oberhauser, Emil Eifrem, Bastian Nominacher, Philipp Heltewig, Fabian Veit.
What is the primary function of Qontext?
The platform acts as a unified context layer that transforms fragmented company data into structured, AI-ready information for use in generative AI applications and workflows.
How does Qontext differ from traditional Retrieval-Augmented Generation systems?
While standard systems often rely on simple keyword or vector similarity, this platform uses relationship-aware context to capture the connections between entities and updates continuously as data evolves.
What types of data sources can be connected to Qontext?
The system supports integration with popular enterprise tools such as HubSpot, Notion, and Google Drive, and can also ingest unstructured data like text, markdown, and JSON via its API.
Is Qontext compatible with different large language models?
The platform is designed to be AI-agnostic, meaning it can be integrated with any AI model or tool, allowing organizations to avoid vendor lock-in.
How does Qontext maintain data privacy and security?
The platform is built with enterprise-grade security standards, is GDPR compliant, and provides users with full control over which data is accessible to specific AI processes.
What are Context Vaults within the Qontext platform?
Context Vaults are structured context graphs that organize company knowledge into defined scopes, providing a central memory that can be reused across different chats, agents, and automation workflows.