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Providers, payers, and life-science teams.

Custom LLMs for Healthcare & Life Sciences

Clinical language is dense, abbreviated, and unforgiving of errors. We build models tuned on de-identified clinical text and judged by clinicians, not just automated metrics.

Use cases

Where a custom model earns its keep

  • 01

    Clinical note summarisation

    Discharge and handover summaries that flag, rather than invent, missing findings.

  • 02

    Medical coding assistance

    Suggested codes with the supporting passage highlighted for the coder.

  • 03

    Prior-authorisation drafting

    Letters assembled from the chart and the payer's criteria.

  • 04

    Literature screening

    Rank and summarise papers for systematic reviews with inclusion rationale.

Compliance

Designed around the rules you work under

Our security practices
  • PHI is de-identified before any training run, and raw records stay in your environment.
  • Clinician-in-the-loop review is built into evaluation, not bolted on after.
  • On-prem and air-gapped deployment for hospital networks.

Case study

From the field

Healthcare & Life SciencesIllustrative

Discharge summaries clinicians actually sign off

Generic models produced fluent summaries that omitted or invented findings, so clinicians rewrote most of them.

Clinician acceptance

Before: 58%After: 86%

Unsupported findings per 100 notes

Before: 7.1After: 0.9

Where to start

Recommended services

Talk to someone who knows the rules

We'll walk through the compliance constraints before we suggest any model.

We reply within one business day (IST).

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