01
Fit check
Decide whether training or retrieval is the right tool.
Solutions
An AI that speaks your business.
Custom model training is a live service for companies that need a private model tuned to their language, documents and processes. We assess the fit, prepare the data, train and evaluate the model, then deploy it on hardware you control. The model is yours.
The problem
What teams tell us
“Generic AI doesn’t know our products, terms or processes.”
“We spend ages explaining our business in every prompt.”
What we do
Set it up around your rules.
We first check whether training or retrieval is the better tool. When training fits, we prepare data, fine-tune an open-source model, evaluate it against real tasks and deploy it privately.
How it works
A controlled path from idea to working AI.
02
Build the dataset
Prepare examples from your documents with your review.
03
Train and test
Have your team grade results on real tasks.
04
Deploy privately
Run the model on your hardware or private cloud inside Sulla.
Who it’s for
Built for work that matters.
Legal, insurance, finance, manufacturing and agencies with specialized language or repeatable expert work.
What you can count on
- Custom model training is a live service.
- Training runs on hardware you control or a private cloud you choose.
- The trained model belongs to your company.
- We set companies up with NVIDIA Blackwell hardware running an open-source model, without publishing unverified SKU or performance claims.
FAQ
Straight answers.
Do we need this, or is retrieval enough?
Often retrieval is enough. We’ll tell you on the call.
Where does training happen?
On hardware you control, or a private cloud you choose.
Who owns the model?
Your company does.
How much data do we need?
It depends on the task. We’ll scope it after reviewing representative documents.
How long does it take?
It depends on the data, evaluation criteria and deployment. We’ll scope the timeline with you.
Build AI around your business, not the other way around.
Start with the free app, or talk with us about a company deployment.