A capable open model.
It already reads, writes and reasons. It does not know your business.
Post-training for your business
The best models
are built, not bought.
We start with a pretrained open-weight model. Your examples and feedback shape it around the work your business needs.
Trained on the internet.
Not on your business.
Post-trained on your data.
Your examples and your tasks update the parts that matter.
Only the parts your work needs change.
Not a model built from scratch.
It practices
your real tasks.
A real task.
Your work, with your tools and rules.
An attempt.
The model works through the task.
A score.
Your experts define what good looks like.
Updated weights.
The feedback changes the model.
Tested on unseen work.
Then the next attempt.
Your taskModel weightsAttempt
Judged on work
it has never seen.
Learning is noisy.
Rewards jump around while the model improves.
The trend is what matters.
Step by step, until it clears your bar.
Unseen tasks decide.
Work the model never saw. Judged by your standard.
A smaller model.
Built for your work.
A larger model creates examples.
Real tasks from your business.
We train on approved answers.
Specialized in your work.
Your model. Less to run.
Deployed only after validating quality and cost.
Insurance example · Supervised fine-tuning
Teach it to stay
with the facts.
One example. The model learns not to invent what the note does not say.
“Water damage reported.
Cause unconfirmed.”
Before training, the model guesses
A burst pipe caused the damage.
Not in the noteAfter training, it stays with the note
The cause is not confirmed.
Matches the noteYour model.
Your advantage.
Build with Hexagon You keep the model.
Examples, evaluations, the next version.