Data is the common thread. A bank, a hospital, a training lab, a data controller and a defence programme all need to know what a model took from their data and why. Each calls the question something different, whether validation, audit, diagnosis, erasure or assurance, and each is told the same thing by their current stack. The answer cannot be recovered after training. It cannot. It has to be produced during it.
So these are not five products, five solutions or five versions of anything. They are five readings of one record, under one licence. What differs between them is the obligation driving the purchase, the person who signs, and how long the sale takes. Plenty of other sectors hold data under the same constraint and the same licence reaches them. These five are named because the cost of the missing account is already on somebody's books there, in figures that can be checked.
AI Training
Is this run failing, and where?
Regulated Finance
What changed, and can a validator verify it?
Medical AI
Which site caused this, and can we show it?
Data Obligation
What data is in here, and can we remove it?
Defense & Safety-Critical
What did the system do to itself in the field?
ORMAS is one licence. Terms are agreed per institution and written into the contract, and there is no price list.
Which of the five applies?
Every engagement starts with one specific problem: a run that died, an audit question that had no answer, a dataset nobody can vouch for.
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Describe what has to be visible inside the models, and we will say plainly whether this is the right thing for it.
Useful to bring
- What is being trained and what has to be proven about it
- Anything already tried