Architecture that lets systems built years apart work as one
We started by connecting DHS identity and immigration systems, and today build microservices platforms like OpenCDx for FDA. Every engagement starts where those programs taught us to: with the data each system needs and who depends on it.
The model we work from
Every program has its own constraints, but the layers are the same. We design each one deliberately and treat security as part of every layer, not a separate project.
- Microservices and APIs (REST, gRPC)
- Connectors to EHRs, labs, payers and partner agencies
- Event streaming and high-volume messaging
- AI agents that act on shared data
- Workflow and business rules
- Content, document and records management
- Health data standards: FHIR, LOINC, SNOMED CT, HL7 ANF
How an engagement runs
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1. Assess
Inventory systems, interfaces and data flows. Find the integration points that fail, the ones nobody owns, and the ones that block the roadmap.
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2. Design the target
A target architecture and transition states the program can fund one release at a time, with patterns for services, events, data and security.
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3. Build the backbone
Stand up the connectors, APIs, event streams and agents that systems share, with the monitoring and reusable patterns teams build on.
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4. Sustain
Operate, monitor and evolve the platform after go-live, so the architecture survives contact with real traffic and new requirements.
Architecture past performance
Need an architecture review before the next release?
We can assess an existing integration landscape or pressure-test a target architecture.