What we build for your data foundation.
Each capability is designed to work together as a system. Instead of stitching tools together over time, we build a cohesive foundation where data flows cleanly, reporting stays consistent, and new use cases don't require rebuilding from scratch.
Data ingestion and modeling
We build production-grade pipelines that unify claims, CRM, product, and finance data into a single modeled source of truth. Whether you're normalizing legacy feeds, migrating warehouses, or onboarding new payers, we design ingestion that holds up under real healthcare complexity.
Every model is documented, tested, and owned by your team — no black boxes, no brittle glue code. We work in dbt, Airflow, Snowflake, BigQuery, or whatever fits your stack, and leave your engineers equipped to extend it without us.
Analytics and reporting
We build reporting that leadership and operators can actually trust. From executive dashboards to payer-specific compliance reports, we turn modeled data into views that drive decisions — not another BI tool nobody opens.
Every metric is defined once, documented, and reconcilable back to source. Finance, operations, and clinical teams stop arguing about whose number is right and start making decisions on the same data.
Production infrastructure
We design and deploy the infrastructure your data runs on — warehouses, orchestration, CI/CD, and monitoring — engineered to handle real healthcare volume without breaking. Whether you're standing up a new environment or hardening an existing one, we build for reliability, security, and HIPAA compliance as defaults, not afterthoughts.
Everything is version-controlled, documented, and deployed through repeatable patterns. No one-off scripts, no tribal knowledge, no vendor lock-in. Your team inherits a system they can operate, audit, and scale independently.
AI Engineering
We build production-grade LLM applications on top of your healthcare data — RAG pipelines that surface insights across claims and clinical notes, agents that automate documentation, or custom models tuned to your domain. Every deployment is engineered for HIPAA-compliant environments and the realities of regulated healthcare data.
We work with OpenAI, Anthropic, Azure OpenAI, and open-source models — selected for your compliance, cost, and performance needs. Every system ships with evaluation, monitoring, and guardrails, so you can trust what it does before it touches a patient record.
How it all works together
Each piece is designed to work as one system. Data flows cleanly across your organization, reporting stays consistent, and scaling doesn't mean starting over.
Data flows cleanly across systems
Reporting is consistent across teams
New use cases don't require rebuilding
How we work with you
We meet you where you are and move toward stable, scalable systems
Advisory and fractional head of data
Strategic direction, architecture decisions, and execution guidance
Focused builds
Production-ready systems delivered fast without cutting corners
Long-term partnership
Ongoing support and evolution as your data needs grow and change
Why teams choose us
Most data work fails because it's treated as disconnected tasks. We build systems that last.
Senior engineers only, no junior handoffs or bench time
Deep healthcare expertise in claims, compliance, and real operations
Built for production from day one, designed for long-term ownership