One local model for one use case.
We deploy a language model on your servers and build one concrete case, such as summaries for discharge letters. Logging and evidence run from day one.
More on this trackHow it works
How we work with you.
We work in .
Healthcare teams rarely lack the will to use AI. They lack a path that protects patient data and that compliance can sign off.
Starting point
What we usually see in healthcare.
- Clinicians spend hours on documentation and discharge letters.
- Staff use personal AI tools because there is no approved alternative.
- Compliance cannot show which data goes where.
First step
Where we would start.
Example
Before and after.
AI at the desk without data leaving the building
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AI at the desk without data leaving the building
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Before
- Staff retype data or quietly paste it into ChatGPT.
- Protected data leaves the building with no control.
- Compliance cannot show what actually happened.
After
- A local model summarizes records on your own servers.
- No record leaves your network.
- The log export goes to compliance automatically.
0 bytes · of protected data leaving your network
Systems
Systems we connect.
- EHR via HL7 and FHIR
- Document management and archive
- On-premise servers
- Active Directory and SSO
HIPAA
Protected health information stays inside your network, and every request is logged. That gives you the evidence your privacy officer and auditors ask for.
Engagement
Three ways to work with us.
Every format ends with something that runs. None of them ends with a presentation.
Start01
Data check
We look at your real files and systems and build a first slice on your own data. You get a working prototype and a fixed price for the pilot.
Build02
Pilot
One source or one use case, end to end, inside your own system. Fixed scope, fixed price for a running pipeline.
Ongoing03
Operation
We run, monitor and extend the pipelines. New sources, model updates and evidence come with it. A monthly fee instead of timesheets.
Process
Four steps.
- 01
Data intake
We look at your real files and systems, as they actually arrive.
- 02
Pilot
One case, end to end. In two to three weeks you see the result inside your own system.
- 03
Roll out
More sources and cases follow. Each new source only needs configuration.
- 04
Handover or operation
You take over, or we keep running it. Either way the code is yours.
Calculator
What does the manual work cost you?
Set how much time goes into manual data work today. The calculator shows what a pipeline could take over.
3 people
10 h per week
$55
60 %
- value per year
- $45,540
- hours freed per year
- 828
- full-time roles
- 0.5
An estimate from your inputs, not a quote. Based on 46 working weeks and 1,650 hours per full-time role. The data check shows what share is realistic for you.
Does this match your case?
Send us two sentences about it. You get a reply within 24 hours.