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Healthcare

Software and AI for healthcare teams that need PHI in production — not in PowerPoint.

HIPAA-aware engineering, BAAs in place, and a track record operating PHI-bearing systems for clinical SaaS, RCM platforms, and patient-facing apps.

How we approach it

Healthcare engineering is unforgiving. The data is sensitive, the workflows are clinical, and the cost of a quiet bug is measured in patient time and operational risk.

We work in healthcare because we like that constraint. It forces honesty in design — every API, every log line, every retry — and it weeds out vendors who think shipping fast and breaking things is acceptable.

We've built clinical SaaS, RCM tooling, intake platforms, and AI document workflows for healthcare teams. We sign BAAs through our cloud and model providers, and we operate PHI under reviewed access controls.

Common challenges

The recurring problems we see

  • 01

    Manual intake eats clinical time

    Patient intake, prior auth, and document review are still largely manual. AI workflows ground in your forms, not generic prompts.

  • 02

    Legacy EMR integrations are brittle

    HL7, FHIR, and proprietary EMR APIs need careful adapters with retries, idempotency, and audit trails. We've built and maintained both.

  • 03

    PHI handling becomes a science experiment

    Every team eventually leaks PHI to a logging tool or analytics pipeline. We design boundary controls so it can't happen quietly.

  • 04

    Audits surprise the engineering team

    We bake SOC 2 / HIPAA evidence into the build. When the auditor arrives, the artifacts already exist.

Capabilities we bring

What we can ship for you

  • Clinical SaaS & patient-facing portals
  • Intake automation & document AI
  • EMR / HL7 / FHIR integrations
  • Revenue cycle management tooling
  • Telehealth & scheduling platforms
  • PHI redaction & de-identification
  • AI copilots with citation & guardrails
  • HIPAA-aware AWS infrastructure
  • Audit-ready logging & evidence
Selected work

Healthcare SaaS cut intake time 62% with a HIPAA-aware AI document pipeline

We replaced a 4-step manual intake with an LLM extraction pipeline grounded in patient forms. PHI is redacted at the edge and citations link back to source documents. The team eliminated $210k of annual labor.

Faster intake
62%
Annual labor saved
$210k
PHI incidents
0
Common questions

Industry-specific questions

If your question isn't here, send it our way and we'll answer plainly.

  • Yes. We sign mutual BAAs as part of standard contracting, and we relay BAAs through our cloud, model, and observability vendors.

Ready when you are

Let's build something durable.

Tell us about your goals. We'll respond within one business day with next steps.