The independent context layer to run your entire AI stack on the same reusable context base.
Backed by world-class tech & AI leaders
Chats
AI answers questions with full company context.
Agents
Agents that know products, customers, and processes.
Workflows
Context is built once – and reused across automations.
Vertical AI tools
Each tool gets only the context it needs, no lock-in.
Code
One API replaces dozens of custom pipelines.
View documentation
From scattered data to AI-ready context
Capturing the status quo
Qontext connects customer, product, process, and decision knowledge.
Keeping it up to date
Qontext continuously update the relational model of your company state.
Exposing it to AI
Any AI process pulls the exact context it needs – via API, MCP, or CLI.
Context that makes AI work at scale
Always up-to-date
Updates in the data sources are continuously reflected in Qontext.
Connected by default
Data becomes a live graph with
entities interconnected across data sources.
Reusable everywhere
Qontext powers your chats, workflows, and
agents at the same time.
Fully controlled
You decide which context can be used by which AI agent.
Stay in control of your context
AI agnostic
Qontext works with any model and any AI tool.
No vendor-lock-in
Your context stays independent from vendors and platforms.
GDPR compliant
All data handling follows GDPR by design.
Made in Germany
Qontext is built and operated from our office in Berlin.
Powering use cases across teams
The new way to let AI work
Context fragmentation is one of the toughest infrastructure problems in AI today, and Qontext is solving it at scale.
Jan Oberhauser
CEO & Founder, n8n
Agents and workflows on all platforms (make.com or any other market leader) need context specific to your business domain. Rebuilding it for each agent or workflow does not scale. You want something that’s set up once, stays live, and can be reused everywhere. This is the vision of Qontext and why I’m excited about their product.
Fabian Veit
CEO, make.com
In customer service AI, context is everything. If you want precise answers and customers who feel understood, generic AI won’t get you there.
Qontext provides the shared context foundation that makes this possible.
Philipp Heltewig
CEO & Founder, Cognigy
Thanks to Qontext, the prompts in our go-to-market workflows are automatically kept up-to-date.
Florian Findeis
Strategy Lead, tacto
Maintaining context across ten workflows was manageable, but not scalable.
As AI expands, Qontext provides a single, up-to-date hub that powers them all.
Laurenz Ohnemüller
AI Engineer, Flink
After months of exploring and scaling AI, we realized high quality context is THE key to success.
Maximilian Gebhard
AI Lead, FINN