Technology services built around healthcare outcomes
We don't sell a menu of disconnected services — we build capability into the systems that carry your clinical, operational, and financial workflows. Here's how that work is organized, and where to go for more depth on each.
Five ways to engage, one engineering standard
Whether we're building a new product from a blank page or extending a system that already carries live clinical operations, the same architectural, security, and interoperability discipline applies. The five groups below aren't separate teams — they're the same engineers, applied at different points in your platform's lifecycle.
Build new healthcare and AI products
From a validated idea to a production platform — designed around AI and interoperability from the first architecture decision, not retrofitted later.
Healthcare Product Development
mHealth apps, telehealth platforms, patient portals, and clinical decision-support tools, built around the realities of care delivery. Mobile work spans React Native, Swift/SwiftUI, and Kotlin, with clinical data exchange grounded in HL7 FHIR R4 from the first sprint.
PRODUCT DEVELOPMENTAI Product Development
AI applied where it earns its place — remote and IoT-based monitoring, documentation assistance, and decision-support tools that inform a clinician or care coordinator rather than deciding for them.
AI PRODUCTSAgentic AI Development
Governed, multi-agent systems that carry out defined workflows — prior authorization, claims processing, scheduling, denial management, patient communications — with human review built in for exceptions, orchestrated through Quantum AgentOS.
AGENTIC AIEngineer the software underneath
The production discipline that makes a product ownable for years, not just demoable at launch.
Healthcare Software Engineering
Architecture, backend, and frontend engineering built for the data model and compliance reality of healthcare workflows.
Cloud Engineering
Cloud-native architecture on AWS and Azure — microservices, container orchestration, auto-scaling, CI/CD, and disaster-recovery design, including on platforms like AWS HealthLake and Azure Health Data Services.
SaaS Development
Multi-tenant platforms engineered for scale, tenant isolation, and long-term ownership rather than a single-customer build.
Mobile Development
Native and cross-platform mobile applications for patients, care teams, and field staff, built to real connectivity and device constraints.
Connect to the systems healthcare already runs on
No healthcare platform stands alone. We build the integration layer that connects new applications to the EHR, payer, lab, and pharmacy systems already running your organization — and bridge to legacy systems that can't be replaced overnight.
- EHR/EMR integration via HL7 v2/v3 and FHIR R4
- REST and GraphQL APIs for modern data access
- Lab and imaging connectivity — LIMS and PACS
- Pharmacy and e-prescribing workflows
- Payer integration — eligibility, prior authorization, EDI 837/835
One connected data layer
Normalized, canonical, and ready for applications and AI
Modernize legacy systems, extend your team
Not every engagement starts with a blank page. Some start with a system that's carried a decade of operations and needs to keep running while it changes.
Legacy Modernization
Incremental modernization of systems that can't simply be switched off — replacing brittle point-to-point integrations, extracting logic into services, and migrating to cloud infrastructure without disrupting live clinical or financial operations.
Dedicated Product Teams
Staff augmentation with engineers who already understand healthcare data and workflows, working in your timezone and inside your Agile or Scrum process. Teams can also extend into ongoing platform operations — monitoring, DevOps management, and compliance-aware maintenance — once a product is live.
Advise before you build
Sometimes the highest-value engagement is the one before any code is written.
Technology Consulting
Architecture review, technology selection, and build-vs-buy guidance grounded in how healthcare organizations actually operate — including a candid read on security and compliance readiness before commitments are made.
Digital Transformation
Moving an organization from paper, legacy, or siloed systems into connected, AI-ready infrastructure — sequenced so operational teams can adopt change without a workflow disruption.
From first conversation to production
Discovery
Workflow, stakeholder & systems review
Architecture
System, data & integration design
Build
Agile delivery in visible increments
Integrate & Secure
EHR, payer & device connectivity, access & audit design
Deploy & Support
Staged rollout, monitoring & ongoing evolution
Not sure which of these
you actually need?
Tell us what you're building or maintaining. We'll help you scope it.