Guni

Serverless AI inference, inside your own cloud.

Call AI models through a simple API that scales up when demand arrives and back down when it does not. It runs in your cloud account, so your data is never sent to a shared AI provider.

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

The problem

Hosted model APIs are easy to start with, but every prompt and document travels to someone else's servers. Running your own GPU servers keeps data in-house, yet you pay for idle capacity and take on the operations work.

How we solve it

Elastic inference you control.

01

Scales with demand

Capacity grows with traffic and shrinks when it is quiet, so you are not sized for your busiest hour all month.

02

One API for your applications

Your products call a single endpoint. We handle model serving, versioning and the infrastructure behind it.

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.

Models and serving tools change every few months. We monitor, update and tune the service for one fixed monthly fee, so your applications keep a stable API while what runs behind it improves.

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

Common questions

Where do the models run?
In your own cloud account or on your own servers. Prompts, documents and outputs stay inside infrastructure you control.
Will our data be used to train models?
No. Your data is never used to train or fine-tune any model.
Which models can we use?
On the first call we go through your use case and recommend a model that fits it. Choosing the model is part of the free first build.

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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.