Your people did nottrain to do paperwork.
Referrals, coding, claims and the forms nobody has time for. We build the systems that take that work, safely, and without your records leaving the country.
Operations, opened · An illustrative organization
One patient, spreadacross four systems.
The referral, the record, the clinic call, the signed form: four places, none of which knows about the other three. All four are places someone on your team can already open, so we read them at that person's access level and write the result back into the same system.
Referrals in
The clinical record
Calls and clinics
Paperwork
Referrals in
- Reads
- The referral letter, whoever sent it and however it arrived
- Writes back
- A structured referral on the right patient, triaged and dated
Read at the permission level of the person it works for
The fax, the chart and the claimare one patient.
Your longest-serving admin already knows that. None of the four systems holding the pieces do.
Worked example · invented data
Reading what you already have…
Nothing joined up yet
The best models think down South.
This is the real blocker, and it is not a policy problem. Frontier models are served from data centres in the United States. Inference is not storage, but a prompt carrying a patient’s referral still crosses the border to be read, and for a great many Canadian custodians that single fact ends the conversation.
So the answer is not a better contract with an American endpoint. It is to stop moving the health information and move the model instead. That is what AI Space exists to do, and healthcare is the reason we built it.
None of this is legal advice, and we do not offer it. Your privacy officer decides what your organization may do; our job is to build a deployment they can say yes to, and hand them the documentation they need to decide.
Where it runs
Canadian regions, on infrastructure you can name in a privacy impact assessment.
What runs there
Open-weight frontier models, the ones you can actually host, kept current as new weights ship.
How you reach it
One OpenAI-compatible endpoint. Swapping the model under a live workflow is configuration.
When that is not enough
The same models run fully on-premises, inside your perimeter, on your hardware.
Every referral stops at a named clinician before it is filed, and the record is built for someone else to check.
The way in is the map: your departments, your systems, and where the paperwork actually sits.
Book a discovery call.
Start with the map of your organization, or with the one job that hurts. Measured in hours and money, and everything we build stays yours.