Healthcare platforms that fit real clinical workflows

Building for healthcare leaves no room for guesswork. If a product doesn't fit how clinicians actually work, adoption fails. We've spent years building platforms where engineering decisions directly impact patient care, resulting in software that clinicians trust and use.
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3M+

Patients on a single platform we built

2 mo → 5 min

Customer onboarding reduced

5/5

client rating on Clutch

4 years

Average client partnership length
Domain expertise

Built for the reality of
healthcare delivery

The hardest part of building for healthcare isn't compliance, it's building products that work inside overloaded, fragmented clinical environments. Providers don’t have time to adapt to your software, which means your product has to adapt to them. That’s where the real engineering challenges live: in interoperability, workflow fit, and performance under pressure.

1.
Telehealth & Virtual Care

Provider matching, scheduling, video visits, and follow-up workflows. We’ve built nationwide virtual care infrastructure, including the operational systems required to make it sustainable, not just the patient-facing layer.

2.
EHR Integrations

HL7, FHIR, and custom integrations that actually survive real-world deployment. We navigate data mapping complexity, certification requirements, and inconsistent real-world implementations.

3.
Clinical Workflow Automation

Referral management, prior authorization, and clinical decision support that reduce administrative burden without disrupting clinical workflows.

4.
Patient Engagement

Patient portals, scheduling, care plan tracking, and communication tools designed for low friction and high adoption.

5.
Health Data & Compliance Infrastructure

PHI encryption, access controls, audit logging, BAA management, and population health analytics. HIPAA is embedded in the architecture from day one, not treated as a remediation task before launch.

ISO 27001 Certified & GDPR Compliant
All team members undergo background checks
Experience building HIPAA compliant products
Work

Long-term partnerships that deliver real clinical impact

Healthcare platforms that clinicians and medical practitioners actually use in their daily work.

Virtual Care

Series A

OpenLoop
3M+
patients served
We built a full-stack virtual care platform covering regulatory compliance, provider staffing, and revenue cycle management. Automating onboarding from a two-month manual process to a five-minute flow.
"OAK'S LAB quickly understood our business, collaborated seamlessly across stakeholders, and delivered a highly technical product that exceeded expectations. They proactively solved problems and consistently brought improvements we hadn't foreseen."

Steve Thompson, CPO
Our approach

Privacy by architecture,
built to be used

In healthcare, compliance is table stakes. The real challenge is building products clinicians actually use. Our process treats HIPAA and clinical workflow fit as equally foundational, because a product that's compliant but unused doesn't help patients or providers.

1
2
3
4

Map the clinical reality

Before writing code, we map PHI data flows, HIPAA requirements, and the clinical workflows the product must fit into. Compliance and usability are designed together, not sequentially.

Privacy-first, interoperable architecture

Data isolation, consent management, HL7/FHIR integration patterns, and audit trails are built into system design from the start. We design for the ecosystem your product must operate in, not a standalone ideal.

Build with clinical feedback loops

Sprints include practitioner input and real-world workflow testing. Automated compliance checks run in the pipeline, alongside usability validation with the people who will use the product daily.

Launch audit-ready, adoption-ready

Compliance documentation, team training, and full knowledge transfer are built into delivery. Your compliance team is prepared for audits, and your product team inherits a system designed for real-world clinical use.

Building something clinicians will actually use? Let's talk.

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AI in Healthcare

AI clinicians trust,
not AI they work around

AI in Healthcare has to clear a higher bar. Clinicians need to trust the output, regulators need to audit the logic, and systems must operate safely on sensitive data. We build explainable, auditable AI embedded directly into real clinical workflows.

How AI shows up in delivery

We use AI across our own delivery workflows to move faster without sacrificing rigor.

1. Clinical decision support

AI that surfaces relevant clinical context at the point of care, designed for real practitioner workflows rather than demo environments.

2. Intelligent triage & routing

Symptom assessment and care pathway routing that reduces time-to-care without introducing clinical risk.

3. Medical record intelligence

NLP systems that structure unstructured clinical notes, lab results, and imaging reports, so downstream workflows run faster with less manual effort.

Technology

A stack that survives
healthcare interoperability

Healthcare products need to integrate with EHRs, meet compliance requirements, and remain maintainable long-term. We build on widely adopted technologies that have deep talent pools; not exotic frameworks that will be a liability in future hiring.

Frontend
React.js
Next.js
React Native
Typescript
Backend
Node.js
Typescript
PostgreSQL
Redis
GraphQL
AI & Data
Python
LangChain
RAG pipelines
Vector databases
LLM orchestration
Infrastructure & Security
AWS
Docker
Kubernetes
CI/CD
ISO 27001
Why this matters in healthcare

Interoperability is the hardest technical problem. Our stack is built around open standards and proven technologies, so your product can integrate into existing clinical ecosystems without creating long-term maintenance risk.

How we work

Your team reinforced,
or a team that owns delivery

Some teams need senior engineers embedded immediately. Others need a partner who can own delivery end-to-end.

Model 01
·
Autonomous Team

You own product direction, we own delivery end-to-end: from roadmap to HIPAA-compliant production release.

Best for:
net new products where compliance must be right from the start and your team doesn't have the bandwidth to take this new product initiative on.

Model 02
·
Embedded Roles

We join your product org as full contributors and work alongside your team; same standups, same priorities, same ownership.

Best for:
teams that need engineers who understand clinical workflows and can contribute from week one.

Let’s talk

Clinical adoption is hard. Product development doesn’t have to be.

If your roadmap depends on having a team who understand healthcare constraints and pressures, not just how to write compliant code, let’s talk.