We deliver full-cycle healthcare software development — from telemedicine app development and EHR integrations to AI diagnostics and remote patient monitoring. Healthtech development with HIPAA and GDPR compliance designed into the architecture from day one, not patched in when the audit arrives.
Discuss your projectCustom healthcare software — from telemedicine app development and patient portals to AI diagnostics and hospital systems
From pre-seed to Series B — we run discovery to define architecture and compliance scope, then build the HIPAA-ready MVP your investors and regulators need. No compliance surprises mid-fundraise.
EHR modernization, patient portals, scheduling systems and care coordination tools for providers with existing infrastructure. We integrate without disrupting live operations.
Scalable telemedicine platforms with video consultation, e-prescribing, EHR integration and multi-provider workflows. HIPAA-eligible video infrastructure from day one.
Software for medical devices and SaMD — ISO 13485 and FDA 21 CFR Part 11 compliant. DICOM integration, audit trail, electronic signatures and the validation documentation your regulatory team needs.
Claims processing platforms, member portals, eligibility verification APIs and care management tools. SOC 2 Type II aligned architecture for enterprise payer requirements.
Patient engagement apps, clinical trial data platforms, medication adherence tools and pharmacovigilance integrations. Built for the regulatory complexity of pharma-facing digital products.
Telemedicine platforms processing live consultations. EHR integrations exchanging real clinical data. Remote monitoring systems alerting clinicians at 2am. The engineers who built your HIPAA-compliant data layer are the same ones responding to production incidents six months after launch.
We design for the regulations that apply to your product — not a generic checklist applied to every engagement
PHI encryption at rest and in transit, Business Associate Agreements with every vendor in scope, audit logging, minimum necessary access controls and breach notification procedures — designed into the data model, not bolted on as features.
Health data is a special category under GDPR — stricter requirements than standard personal data. We implement explicit consent management, EU data residency, right to erasure and DPA agreements for products serving EU patients.
HL7 v2 message parsing and FHIR R4 API development for interoperability with Epic, Cerner and any EHR that speaks the standard. SMART on FHIR app certification for marketplace integrations.
Medical imaging data exchange with PACS and RIS systems — radiology, MRI, CT and pathology. DICOMweb for modern web-based viewer integrations. Correct handling of metadata, series and study identifiers.
For Software as a Medical Device (SaMD) and medical device software — quality management processes, electronic signatures, audit trail and the validation documentation your regulatory submission requires.
Security, availability and confidentiality controls for healthcare SaaS platforms serving enterprise payers and health systems. We align controls from the start — not as a pre-audit sprint three months before the assessment.
Compliance scoping before code. Working builds every two weeks.
Week one is architecture and regulatory mapping. We identify which standards apply to your specific product — HIPAA scope, GDPR applicability, FHIR integration requirements — and produce a compliance roadmap you can share with your board, legal team or investor. Output is a document and architecture decision record, not a Figma.
Data model, API contracts, PHI boundaries and EHR integration design are settled before development starts. Clinical workflow UX — patient onboarding, consultation flow, provider dashboard — runs in parallel. Design does not wait for architecture to finish.
Two-week sprints with working demos. Security controls, encryption and audit logging are built as features are shipped — not added pre-launch. Penetration testing and HIPAA technical safeguard review happen in the same sprint cycle, not as a separate phase.
CI/CD, monitoring and incident response are live before go-live. Post-launch we track clinical data integrity, API uptime and security events. Most healthtech clients retain the team for 12+ months — the engineers who built your FHIR layer know where the edge cases are.
patient portals, provider dashboards and clinical management interfaces — accessible, performant, WCAG 2.1 AA compliant
cross-platform mHealth apps for iOS and Android — shared codebase, offline support, biometric auth and wearable data sync
FHIR API servers, real-time clinical messaging and webhook handlers — event-driven, broad healthtech SDK support
AI diagnostics models, NLP for clinical notes, predictive RPM alert engines and healthcare data pipelines — rich ML ecosystem
primary cloud for HIPAA-eligible infrastructure — HealthLake, BAA coverage, VPC isolation and managed KMS for PHI encryption
FHIR Service, DICOM Service and Azure Health Data Services for enterprise health systems and EU data residency requirements
default PHI datastore — row-level security for multi-tenant isolation, ACID guarantees for clinical records, point-in-time recovery
every service containerized — identical environments from local development to the HIPAA-scoped production cluster, no environment gaps
orchestrates clinical microservices at scale — rolling deploys with zero downtime, horizontal scaling for peak consultation loads
all healthcare infrastructure as code — VPC, security groups, IAM policies, KMS keys. Versioned, reviewed before apply, auditable for HIPAA
Telemedicine platforms, EHR integrations, mental health apps, RPM tools and wellness products. We know the clinical workflows, interoperability requirements and compliance decisions that matter before you start building.
PHI handling, access controls, audit logging and BAA scope are designed into the data model and infrastructure from day one. Adding them after the fact costs more and leaves gaps that appear in your first security audit.
Compliance work runs in parallel with product development — it does not push the timeline out by months. We have done this enough times to know what moves in parallel and what must be sequential.
Engineering offices in Ukraine, Austria, Bulgaria and Germany. EU clients get full working-hours overlap. US East Coast gets 5–7 hours daily. Decisions happen in real-time calls — not over Slack threads that span two calendar days.
Epic, Cerner, Allscripts, lab systems, pharmacy networks and insurance eligibility APIs. We have written the HL7 parsers and the FHIR resource mappings — not called a third-party middleware wrapper.
Product design, engineering, QA and ongoing support in one engagement. The team that built your HIPAA-compliant data layer is the same team that builds the patient-facing UI — and answers the 2am alert six months after launch.