Our own product
We kept solving the same problem, so we built it once.
DataSafeHouse is secure infrastructure for enterprise AI. It is a real product with its own site, and we use it inside Stork builds where it fits.
Every AI project hit the same wall.
Helping companies build AI applications, we kept running into the same thing. The model was never the problem. Getting it safe access to internal data was.
Every client needed the same plumbing: connect systems, control who can ask what, ground answers in real documents, keep a record of it. We were rebuilding that layer each time.
So we built it once, properly, as a product.
What DataSafeHouse handles
Governed model access
Route approved providers through one controlled surface instead of every team wiring up its own.
Grounded retrieval
Answers built on your documents and operational data, with a source behind each one.
Policy and permissions
Who can ask what, against which data, enforced rather than documented.
Audit and visibility
A record of what was asked and answered, for the people who will eventually ask.
Enterprise integration
Connectors into the systems your business already runs on.
Deployment flexibility
Runs where your security review needs it to run.
DataSafeHouse connects to all of them
You do not have to use it.
DataSafeHouse is available on its own, and plenty of people use it without us.
It also means that when Stork builds you an AI system, we are not starting from scratch on the governance layer. If a different approach suits you better, we will build that instead. We are not here to sell you a platform.
Want to see whether it fits?
The product site has the detail. If you would rather just talk it through, that works too.