Guni

Clean, reliable data for AI that works in production.

AI is only as good as the data behind it. We build and operate the pipelines that feed your AI systems, inside your own infrastructure.

A long aisle between rows of white equipment cabinets in a server room
Photo by İsmail Enes Ayhan on Unsplash. Credits

The problem

AI pilots often work on a hand-picked sample and fail on real data: inconsistent formats, missing fields and access rules nobody planned for. Fixing that later costs far more than designing for it upfront.

How we solve it

Data foundations built for AI.

01

Pipelines around your sources

We connect to the systems and documents you already have, and shape the data your AI needs.

02

Access that follows your rules

Data stays in your infrastructure, with access governed by your own policies.

03

Private by design

Deployed in your own cloud or on your own servers. Your data is never used to train models, and it never leaves infrastructure you control.

After launch

We stay and keep it running.

Pipelines break when sources change. We monitor and maintain them as part of the same fixed monthly fee.

“…quickly developed subject matter expertise across both technical and product domains.”
Client, UK

Common questions

Do we need to buy data engineering separately?
Usually not. It is part of building any system that needs it, and we confirm the scope with you on the first call.
Where will our data live?
In your own infrastructure, or fully on-premise if you require it.

Related services

Let’s talk

Got a process worth fixing? Find out in 30 minutes.

Talk to the engineers who would build it. We’ll tell you honestly whether AI fits. Or see our products work in a 20-minute demo.