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Industry · S.03
Healthcare & pharma
Clinical and operational AI engineered around HIPAA, validation, and patient trust. We build for the constraints that define healthcare: data that can't leave the building, decisions a clinician has to own, and a privacy bar that public AI alone can't clear. From conversational automation to private on-prem models, here is that work in production.
- Clinical and operational workflow intelligence
- HIPAA-compliant, validated deployment
- Privacy-first architecture, on-prem or masked
Case studies
Production work in healthcare & pharma.
Automating prior authorization with conversational AI
ML assembles the authorization packet and a voice agent calls the payer and books the patient, end to end, without staff stuck on hold.
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A private language model that never leaves the building
A small language model on an on-prem NVIDIA stack reads the EMR and drafts personalized, clinician-reviewed instructions, with zero data egress.
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Reading the chart with a public LLM, safely
A masking and re-identification pipeline gives frontier LLM capability on the chart, with nothing identifiable ever leaving the network.
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An agentic platform for billing and denials
Coordinated AI agents code, scrub, predict denials, and file appeals, lifting the clean-claim rate and recovering revenue that used to slip away.
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AI built for your clinical reality.
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