Industries · Healthcare & Life Sciences

Your EHR holds the answers. Let's use them.

Epic, Cerner and Meditech hold your most valuable clinical data, but it is fragmented and disconnected from the AI you want to build. We close that gap, from HIPAA-compliant data architecture to clinical AI that fits real workflows, with one team across the whole lifecycle.

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ProvidersHealth systemsHospitals, IDNs and specialty practices PayersHealth plansCommercial, Medicare Advantage and Medicaid Life sciencesPharma to MedTechPharma, biotech, medical devices and CROs ProofThree case studiesDelivered healthcare work, with the figures

Who we work with

Providers, payers and life sciences.

Hospitals, IDNs & specialty practices

Health systems and providers

Clinical analytics, EHR integration, AI-assisted documentation, population health management, revenue cycle analytics and clinical decision support, built around Epic, Cerner and Meditech environments.

Commercial, MA & Medicaid plans

Payers and health plans

Claims analytics, actuarial machine learning, fraud, waste and abuse detection, risk stratification, CMS regulatory reporting and member intelligence.

Pharma, biotech, MedTech & CROs

Life sciences

Clinical trial data management, pharmacovigilance analytics, real-world evidence platforms, regulatory submission data for the FDA and EMA, and medical device performance monitoring.

What we build

The problems we hear, and how we solve them.

EHR data trapped in silos

Clinical data engineering and EHR integration

HL7 FHIR and HL7 v2 pipelines from Epic, Cerner and Meditech that normalize, de-identify and route clinical data into a governed lakehouse on Azure, Databricks or Snowflake.

Compliance slows every initiative

HIPAA-first data strategy and governance

Compliance designed into the architecture, a clinical data council and governance operating model, and AI governance aligned to FDA guidance and the NIST AI RMF.

Fraud, waste and abuse go undetected

Clinical AI and predictive models

Models trained on your data and validated against your clinical standards: claims fraud detection, readmission and deterioration risk, staffing, capacity and ED throughput.

Insight arrives too late

Population health BI

Dashboards in Power BI or Tableau with live EHR feeds, CMS and HEDIS quality measure reporting, and chronic disease, readmission and care gap analytics.

Revenue leaks unseen

Revenue cycle analytics and generative AI

Analytics that find denial root causes and undercoding, with generative AI for prior authorization drafting, denial letters and coding validation.

Dashboards nobody uses

Clinical AI and data literacy

Role-specific programs for clinicians, nurses and administrators, and data fluency workshops for executives, so the tools you build are trusted and used.

HIPAA by design

Compliance in the architecture, not a review at the end.

Every analytics project in healthcare meets a compliance review. When de-identification, BAAs and audit logging are not designed in from day one, they become blockers that add months and cost.

We treat them as structural parts of every platform we design or implement:

Business Associate Agreement coverage scoped from the start of the engagement
De-identification protocols built into the data pipelines
Role-based access control across the platform
Audit logging on every system we build

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