Intelligence · Roadmap

Models tuned to your domain, with rights and operating terms you can review.

Adapt eligible models to your language, policy and domain under terms you can review, with training data and operating boundaries defined for your deployment.

The official's problem

Generic models do not speak your domain, or answer to you.

Public models are trained on someone else's data, for someone else's purpose. Officials need models adapted to their domain and under their control.

01

Does it know our domain?

Models are tuned to your language, policy and terminology.

02

Where does training happen?

Within the boundary selected for the deployment, with model training and data use defined by policy.

03

Who owns the result?

You keep the tuned weights; capability accrues to you.

Capabilities · Accessible by design

Capability that compounds for you.

Fine-tuning as an asset your organisation owns and keeps.

Domain fine-tuning

Adapt open models to your language and policy.

Training under your policy

Training data handling is defined by your organisation policy and the release terms for each model.

Open foundations

Built on inspectable, forkable open models.

You keep the weights

The improved model is yours to run and to leave with.

Where it fits

Where Models fit.

The adaptation layer, standing on the runtime and feeding the assistants.

Governance & compliance

Improvement without export.

Models are intended to be tuned on a customer defined boundary and eligible data, with the applicable foundation and usage terms recorded for the deployment.

Customer controlled data boundary Human approval where it matters Reviewable activity record Designed to support AI Act governance Designed to support GDPR obligations

Next step

Tune one model to your domain.

We adapt an eligible model to a single domain and document the resulting weights, evaluation and rights for the selected deployment terms.