Six specialized service lines — AI, product engineering, cloud, compliance, interoperability, and regulatory software — built for hospitals, payers, and digital health teams that can't afford to get healthcare wrong.
Every engagement is staffed by engineers who already speak healthcare — FHIR, HL7, HIPAA, IEC 62304 — so you're not paying to educate a generalist team.
Predictive analytics, clinical NLP, and medical imaging AI — explainable, HIPAA-safe models built for clinicians and regulators to trust.
End-to-end engineering from discovery to market — HIPAA, GDPR, and FDA SaMD pathways built in from sprint one.
HIPAA-compliant AWS, Azure, and GCP infrastructure with IaC, container orchestration, and continuous compliance monitoring.
Gap assessments, administrative and technical safeguards, BAA templates, and ongoing compliance monitoring built into every sprint.
Seamless interoperability across Epic, Cerner, and athenahealth via HL7 v2/v3, FHIR R4, SMART on FHIR, NCPDP, and MLLP.
FDA-pathway Software as a Medical Device with IEC 62304-aligned processes and regulatory submission support.
Connect healthcare systems, applications, and data with secure, scalable integration solutions.
Integrate EHRs, clinical systems, APIs, devices, and third-party platforms for connected healthcare workflows.
Enable seamless healthcare data exchange across systems, providers, and platforms.
Build standards-based interoperability using HL7, FHIR, SMART on FHIR, NCPDP, MLLP, and modern healthcare APIs.
"Healthcare software development" spans a lot more than a single app. Here's the breakdown of what we actually build and support across a typical engagement, grouped by where it sits in the care and business workflow.
Continuous vitals capture from connected devices, threshold-based alerting, and care team dashboards — deployable against Bluetooth and cellular RPM devices without custom device integration work each time.
Care plan orchestration, task assignment, and risk stratification for chronic care and value-based care programs — built on configurable care pathways rather than a single hardcoded workflow.
A pre-built interface engine layer for HL7 v2/v3, FHIR R4, and DICOM traffic — routing, transformation, and monitoring configured through mapping rules instead of custom point-to-point code.
A cloud-native telehealth platform with AI-assisted triage, ambient documentation, and EHR-integrated video visits — deployable as a white-labeled telehealth product rather than built from scratch.
Most health systems aren't starting from a blank slate — they've already invested in a health cloud platform. We plug into the one you have rather than asking you to rip it out.
Care coordination, patient 360, and CRM workflows layered on top of Salesforce.
Implementation & IntegrationAzure Health Data Services, FHIR service, and Teams-based virtual care integration.
FHIR Service & Azure AIFHIR-native data lake with Comprehend Medical NLP for unstructured clinical text.
Data Lake & NLPFHIR, HL7v2, and DICOM stores paired with Vertex AI for imaging and predictive models.
FHIR / DICOM / Vertex AIEHR-native integration, reporting, and custom module development on Millennium Cloud.
EHR-Native IntegrationPopulation health data activation, care-gap identification, and unified patient records.
Population Health DataWe treat healthcare AI as a clinical tool first and a model second — every deployment is explainable, HIPAA-safe, and reviewed by a human before it touches a care decision.
We cover six core service lines: healthcare AI & machine learning, healthcare product development, cloud & DevSecOps, HIPAA compliance consulting, EHR/FHIR/HL7 integration, and FDA SaMD software development.
Yes. Engagements range from MVP builds for early-stage digital health startups to modernization and compliance work for hospitals, payers, and established MedTech companies.
Most projects touch more than one service line. Book a discovery call and we'll scope which combination of AI, integration, compliance, or product engineering work fits your roadmap.
Compliance is built into our engineering process, not bolted on afterward. Depending on the engagement, that means HIPAA safeguards, IEC 62304-aligned SaMD workflows, and FHIR/HL7 standards from sprint one.
Middleware is the layer that translates and routes messages between your EHR, labs, pharmacies, payers, and devices. If you're integrating more than two systems, or your current point-to-point interfaces keep breaking on updates, a proper interface engine or middleware layer usually pays for itself within a few integration cycles.
Both. We implement and tune commercial engines like Mirth Connect, Rhapsody, and Cloverleaf where they fit, and build custom middleware for workflows those engines don't cover — usually high-volume, event-driven, or device-data scenarios.
Yes — that's the default approach. We build care management platforms to sit alongside your EHR via FHIR/HL7 integration rather than as a standalone system, so care teams work in one place instead of switching tabs.
We build on FHIR-native warehouses and lakehouses, and connect them to BI tools like Power BI, Tableau, and Looker, depending on what your team already uses. For most engagements, the bigger effort is the data pipeline and governance layer, not the dashboard itself.
All of them. We've implemented and integrated with Salesforce Health Cloud, Microsoft Cloud for Healthcare, AWS HealthLake, Google Cloud Healthcare API, Oracle Health (Cerner) Millennium, and Innovaccer — we build around the platform you're already invested in.
Yes. Every clinical-facing model goes through bias testing and clinical validation before deployment, keeps a human in the loop on outputs that touch care decisions, and is built to be explainable — clinicians and auditors can see why a model produced a given output, not just the output itself.
Book a discovery call with our healthcare engineering team — no generic sales deck, just a conversation about your product and compliance requirements.