Our Services
We are a consulting group focused on data science, AI, and cloud engineering for health. From analytics strategy to production AI and managed data platforms, we partner with your teams to deliver measurable outcomes.
Data Analytics & Decision Intelligence
Translate data into decisions with rigorous analysis and clear storytelling.
Use Cases: population health forecasting; risk stratification; demand & capacity planning; fraud/waste/abuse anomaly detection.
Methods: supervised/unsupervised ML, time series, causal inference, A/B testing, NLP on unstructured notes.
Deliverables: executive-ready dashboards, analytic briefs, reproducible notebooks, KPI frameworks tied to mission outcomes.
AI Implementation & MLOps
Deploy responsible, explainable AI that integrates with your systems.
Capabilities: model development and evaluation; prompt/NLP pipelines; bias and performance monitoring; explainability (feature importance, SHAP).
Engineering: CI/CD for models, containerization, API endpoints, event-driven inference, observability and drift detection.
Compliance: documentation, risk assessments, and access controls aligned to federal guidance and privacy requirements.
Deliverables: production-ready models, runbooks, model cards, and service-level playbooks.
Cloud Data Engineering
Build secure, scalable data services that power analytics and AI.
Platforms: AWS and Azure landing zones; Snowflake warehouses and lakes; DuckDB for fast prototyping.
Pipelines: ETL/ELT orchestration, metadata & lineage, data contracts, API gateways.
Quality & Reliability: profiling, validation rules, observability, cost governance, automated testing.
Deliverables: data service blueprints, infrastructure-as-code, pipeline runbooks, and operational dashboards.
Data Modernization & Governance (Core)
Build the foundation for secure, interoperable, analytics-ready data.
Cloud Architecture: Landing zones on AWS/Azure, Snowflake warehouses/lakes, cost governance, observability.
Interoperability: FHIR/HL7 modeling, API gateways, ETL/ELT orchestration, data contracts, lineage and metadata catalogs.
Data Quality: profiling, validation rules, reference/master data, KPI definitions tied to outcomes.
Security & Privacy: role-based access, PHI handling patterns, audit trails, encryption in transit/at rest.
Deliverables: migration roadmap, platform build, governance playbook, SOPs and runbooks.
Managed Data Platform (Operations & Governance)
We operate your data platform so your teams can focus on impact.
Operations: environment management, access control, backup/restore, performance tuning, change management.
Governance: stewardship models, data sharing agreements, privacy/security reviews, audit trails.
User Enablement: data literacy workshops, SQL/Python labs, dashboard standards, office hours.
Deliverables: SLAs, SOPs, onboarding materials, and quarterly health reviews.
Geospatial & Health Intelligence
Reveal disparities and target interventions using SDOH and maps.
SDOH Fusion: join census, claims, EHR extracts, and community sources to program outcomes.
Mapping & Hotspots: ArcGIS/GeoPandas, neighborhood-level KPIs, service desert detection.
Equity KPIs: access, adherence, utilization, and outcome disparity indices by cohort and region.
Deliverables: equity scorecards, intervention playbooks, narrative reports for policy briefings.