Healthcare & Pharma AI solutions.

Healthcare AI solutions for clinical documentation, prior authorization and triage, built into patient platforms on HIPAA-grade infrastructure. We plan evals, clinician review and audit trails before the first sprint.

Start an AI project ↳ AI use cases

What makes healthcare AI hard.

The healthcare AI challenges we design for before any code is written, so the AI holds up with real users, real data and real auditors.

Clinical trust

AI in care settings needs evaluation harnesses, guardrails and a clinician in the loop before any output reaches a patient.

PHI everywhere

Protected health information stays segmented, encrypted and logged on every read, including every prompt and model call.

Legacy integrations

EHRs, payer portals and lab systems speak HL7, FHIR and fax. We build the adapters that give your AI clean, structured data.

Healthcare AI solutions we build

The AI use cases we build for healthcare teams, and the software platforms they run on. Each starts from a measurable goal, passes an eval gate before launch and reaches users through a gradual rollout.

The model work comes from our LLM and AI agent development team, tested by QA and AI evaluation. For a worked example, read our LLM prior-authorization case study.

Compliance we plan for

HIPAA
SOC 2 Type II
GDPR
BAA-ready infrastructure

✓Ambient clinical documentation and note drafting
✓Prior-authorization and claims automation
✓Symptom triage and patient intake assistants
✓Clinical decision support with LLM evals
✓Telehealth and remote monitoring platforms
✓FHIR / HL7 integration and pharma data pipelines

Healthcare software, shipped.

A recent healthcare engagement and the numbers the client measured. Names withheld where clients asked us to.

Telehealth platform

4.2s → 0.9s p95 for the patient intake flow. 18% drop-off reduction in the first 90 days. HIPAA audit passed without findings.

Browse AI case studies

Healthcare AI development services.

The WAMO Labs services most healthcare AI engagements draw on, from LLM integration to the platform around it.

AI integration

Our AI integration services put LLM applications, AI agents and RAG systems into the products and workflows you already run. Measured by evals, guarded in production, with a cost per request you can predict.

Custom web

Custom web application development for fast, AI-ready platforms that scale with traffic, data and your team. Copilots, smart search and clean APIs are part of the architecture, not a bolt-on.

Cloud architecture

Cloud architecture and DevOps that keep AI products fast, secure and affordable. MLOps pipelines, GPU inference and LLMOps on AWS, GCP or Azure, with costs you can forecast.

Questions about healthcare AI projects.

Timelines, cost drivers and compliance, answered plainly. More on how we build and evaluate AI in our AI engineering insights.

Which healthcare AI use cases do you build?

Healthcare AI projects we build include ambient clinical documentation and note drafting; prior-authorization and claims automation; and symptom triage and patient intake assistants. Each one ships with a versioned eval set, guardrails and a gradual rollout, on the platform work listed above.

How long do healthcare AI projects take?

Most engagements start with a four-week immersion. By week 3 a first slice is live behind a feature flag for a small share of users, evaluated and instrumented. By week 4 you have a quarter-by-quarter roadmap with named owners. Full timelines depend on scope, integrations and compliance review.

What drives the cost of healthcare AI solutions?

Four things: the systems we integrate with (EHRs, payer portals and lab systems), the compliance scope (HIPAA, SOC 2 Type II, GDPR and BAA-ready infrastructure), how much evaluation and human review the use case needs, and inference volume, because cost per request compounds with usage. We size all four during the four-week immersion, so you know what it costs to keep going before you commit to a roadmap.

How do you handle compliance and data privacy in healthcare AI?

We plan for HIPAA, SOC 2 Type II, GDPR and BAA-ready infrastructure from the first sprint and decide which data may ever reach a model provider before anything is built. Every AI feature ships with access controls, an audit trail and human review wherever a wrong answer carries real risk.

Building AI in Healthcare & Pharma?

Tell us the AI use case or product you're working on. We respond within one business day, with a real human and a real opinion.

Start an AI project See the prior-auth case study