WHERE THEY GO
Your team is training a model today. Just not yours.
Every fix an expert types into an AI tool is a labelled example of what good looks like at your company. Here is where that work ends up.
TODAY
Into the chat window
Your expert rewrites the answer, gets what they needed, and closes the tab. The correction is gone.
TODAY
Into someone else's model
What survives goes to whoever provides the model. It improves their product, for every one of their customers.
WITH EMPROMPTU
Into a model you own
The same correction is captured where the work happens and becomes training data for a model that stays in your environment.
THE COUNTER
How much training data does your team throw away in a year?
Two numbers you already know. The result is the training set you are not keeping.
An estimate, not a quote. Assumes 230 working days a year.
EXPERT CORRECTIONS A YEAR
46,000
That is a labelled training set describing exactly how your company decides things. Today it is discarded as soon as the tab closes.
About 3.7× the 12,480 corrections behind the sample model above.
ONE CORRECTION
What a single correction actually teaches.
A prior-authorisation review, start to finish. Sample case, illustrative only.
AI DRAFT
Denied — missing conservative-therapy documentation.
The model reads the request and the attached notes, finds no record of a prior course of physical therapy, and drafts a denial.
EXPERT CORRECTION
Approved — therapy documented in the referral letter.
Your reviewer finds the therapy course recorded in the referring provider's letter rather than the structured chart, and overturns the draft.
WHAT THE MODEL LEARNS
Check the referral letter before calling documentation missing.
The correction is captured with the case that produced it, so the next review looks where your reviewer looked.
WHAT YOU OWN
Yours on day one. Yours if we're ever gone.
The outputs
Everything your apps generate is your IP, by contract.
The model
Custom models trained on your work, including the weights.
The data
It stays in your environment and never trains anyone else's model.
The keys
Your infrastructure and credentials. Disconnect us and keep running.
Built for teams where trust matters.
Production results from regulated, complex industries where AI mistakes have real consequences.
