The independent context layer to run all your AI processes on the same reusable context base.

Backed by world-class tech & AI leaders

Use the same context base in

every tool

ChatGPT

n8n

Cursor

Decagon

MCP

Use the same context base in

every tool

ChatGPT

n8n

Cursor

Decagon

MCP

Use the same context base

in

every tool

ChatGPT

n8n

Cursor

Decagon

MCP

Use the same context base

in

every tool

ChatGPT

n8n

Cursor

Decagon

MCP

Chats

AI answers questions with full company context.

Workflows

Context is built once – and reused across automations.

Agents

Agents that know products, customers, and processes.

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

Create a context vault

Each vault defines a clear scope – company-wide, per team, or per use case.

Connect data sources

The vault stays in continuous sync with your data sources via our connectors.

Give access to context

Every AI process retrieves the right context at runtime via one API.

Context that makes AI work at scale

Always up-to-date

Updates in the data sources are continuously reflected in the vault.

Connected by default

Data becomes a live graph with
entities interconnected across data sources.

Reusable everywhere

One vault powers chats, workflows, and
agents at the same time.

Fully controlled

You decide what context flows into which AI process.

Stay in control of your context

AI agnostic

Qontext works with any model and any AI tool.

No vendor-lockin

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

Stop rebuilding context. Start scaling AI.

Stop rebuilding context.
Start scaling AI.