Capabilities
Six disciplines, one delivery standard.
Every capability below is delivered under the same standard: production software, documented decisions, automated evidence for accreditation, and teams small enough to know every line of code.
Data Engineering & Analytics
Government health data lives in decades of formats across dozens of systems. We build the pipelines, warehouses, and governance that make it usable — reliably, at scale, with full lineage.
- Cloud data platforms and lakehouse architectures
- Streaming and batch ingestion from legacy and modern sources
- Master data management and record linkage across systems
- Data quality frameworks with automated validation and lineage
- Self-service analytics environments for program analysts
AI & Machine Learning
We build models that survive contact with government oversight: documented, monitored, bias-tested, and explainable to a review board — not just accurate in a notebook.
- Risk stratification and predictive models for clinical operations
- Clinical NLP: extraction from notes, prior-auth documents, and forms
- Anomaly detection for payment integrity and program oversight
- LLM-based assistants with retrieval over authoritative policy corpora
- ML/AI operations: automated pipelines from experiment to accredited production
- Model cards, drift monitoring, and responsible-AI governance
Custom Software Engineering
Small teams shipping to production weekly. We design and build the applications that put data in front of clinicians, adjudicators, and analysts — accessible, fast, and maintainable long after handoff.
- Modern web applications with Section 508 / WCAG 2.2 compliance
- Spec-driven development: executable specifications before implementation
- API design and modernization of legacy service layers
- Human-centered design research with real end users
- Automated testing and documentation as first-class deliverables
- Incremental legacy migration — strangler-fig, not big-bang
Cloud & DevSecOps
Accreditation is usually the slowest part of a government program. We treat the ATO as an engineering problem: controls as code, evidence generated automatically, environments reproducible from day one.
- FedRAMP-aligned landing zones in AWS GovCloud and Azure Government
- Infrastructure as code with policy-as-code guardrails
- CI/CD pipelines with SBOM, scanning, and continuous compliance
- NIST 800-53 control implementation and ATO acceleration
- 24/7 operations, observability, and incident response
Interoperability & Health Standards
Data exchange is where health IT programs go to die. Our engineers work natively in the standards — FHIR, HL7v2, X12, OMOP — and have connected systems that were never designed to talk.
- FHIR R4 servers, facades, and bulk-data pipelines
- HL7v2 and C-CDA interface engineering
- Terminology services: SNOMED CT, LOINC, RxNorm, ICD-10 mapping
- OMOP and common-data-model transformation for research
- TEFCA and USCDI alignment strategy
Decision Support & Visualization
The last mile matters most. We turn models and datasets into interfaces leaders actually use: operational dashboards, geospatial surveillance views, and decision tools embedded in daily workflow.
- Executive and operational dashboards with live data feeds
- Geospatial analysis and disease-surveillance mapping
- Embedded clinical decision support at the point of care
- Public-facing data transparency portals
- Narrative reporting automated from authoritative data