Clinical extraction,inside the firewall.
Particula-Healthcare extracts diagnoses, medications, dosages, and codes from clinical notes, with a built-in PHI redaction pass. It runs on-prem inside your compliance boundary, so protected health information never crosses the wire.
One job, done to spec.
Here is the spec.
Everything below is work the model handles on its own, with no wrapper, no retry loop, and no second call out to a larger model when it gets stuck.
Diagnoses, meds, codes
Conditions, medications, dosages, and ICD-10 codes from discharge summaries, progress notes, and referrals.
PHI stays inside
A redaction pass runs before anything is logged or stored. Names, dates, and identifiers never leave the extraction boundary.
HIPAA-ready deployment
On-prem architecture docs, data-flow diagrams, and audit support for your compliance review. Attestation follows your environment.
Grounded to the note
Every extracted field carries a span pointing back to the source sentence, so clinicians can verify instead of trust.
Context, latency, hardware,
and what it takes to run.
The numbers a capacity plan actually needs. Sizing gets reviewed against your traffic before the pilot, and the figures go into the agreement in writing.
From first call to production
without a rewrite.
Three steps, and you keep the weights at the end of them. Nothing about the rollout depends on us staying in the loop afterwards.
- 01
Discovery call
30 minutes, no slides. Your task, your data shape, and the security constraints around it. If this model is the wrong fit, we say so on the call.
- 02
Pilot install
Containerized deployment to staging in your VPC or on-prem, on the same stack as Lumen and Notetaker. The eval harness runs on your data and the numbers go into the pilot agreement.
- 03
Production rollout
Runbook handoff, operator training, and 90 days on call. After that it is yours to operate, no vendor dependency.
Five others share
this runtime.
They run on the same serving stack, the same deployment path, and one API, so licensing a second model adds no operational surface.
“Bring a hundred real examples from your pipeline. We run the model on them live, the harness scores the output in front of you, and you decide with numbers instead of a sales deck.”