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Models that know
your sector.

Fine-tuned for your task. Deployed in your environment.

Hugo 32B · French law

Beats a frontier model. Half the size.

+10 %Accuracy
−50 %Parameters
−75 %Compute
14 daysTraining

What they say

“It answers the way our own risk team answers.”

Head of Model RiskRetail bank, France

01 / 02

Method

Four steps, each agreed first.

We adapt the model to the sector first, without touching your data.

Our sideThe model learns the sector from public and synthetic material. Your data is never touched.
Your side, under licenceThe model moves into your environment. Your data stays there.
  1. IAuditScope the task.
  2. IIPilotTest against your baseline.
  3. IIIProductionConnect to your systems.
  4. IVDeploymentHost and monitor.

Ask it something

Illustrative.

What does this exposure cost us in capital?

€4.2M.

Standardised approach: 100% risk weight on €52M drawn. Under IRB, at the counterparty's PD of 1.8%, €3.1M.

SourceArt. 194 CRR · collateral eligibility

“…the credit institution shall have the right to liquidate or retain, in a timely manner, the assets from which the protection derives…”

What should your model do?

contact@legml.ai