Built by an AMC,
for AMCs.
Epic. Workday. Everything else. One data platform, one source of truth, a fraction of the cost. Co-created at Washington University School of Medicine — in production today.
"No commercial solution existed at AMC scale. Epic data pipelines were failing and research operations were at risk. So we built one."
Co-created at Washington University School of Medicine's Institute for Informatics, Data Science & Biostatistics (I2DB)
Epic. Workday.
Everything else.
Academic medical centers run on Epic for clinical, Workday for finance and HR, and dozens of other systems for everything in between. Databasin connects all of them.
Your Epic data, fully unleashed
Chronicles, Clarity, and Caboodle each have different access patterns, refresh schedules, and schema complexity. Databasin handles all three through one governed pipeline.
- Natural language queries against governed gold data — no Clarity specialist required
- Schema versioning at bronze — pipelines adapt when Epic updates, not break
- REDCap, FHIR, and research databases in the same governed environment
- PHI stays in your Azure tenant — HIPAA-ready by architecture
Your Workday data, finally free
Workday's reporting requires specialists most AMCs don't have. Effective-date logic silently corrupts historical reports. Prism costs six figures and still needs a warehouse.
- Effective-date resolution handled at the connector — historical snapshots are always accurate
- Finance and HR data joined in one governed lake house — no more reconciliation debates
- Replaces Prism, connector stack, and BI tool — starting at $24K/yr
- One headcount number that Finance and HR both agree on
Everything else, unified
REDCap, Box, Azure, Databricks, Snowflake, SalesForce, Oracle, ServiceNow — every system your AMC runs on, connected to the same governed lake house as Epic and Workday.
- Medallion architecture: bronze (raw), silver (transformed), gold (governed analytics)
- Natural language queries via Databasin One — governed answers from gold layer only
- Semantic model builder for institutional metric definitions
- Private install in your own Azure tenant — or hosted
AMCs are paying $250K–$400K/yr to work around their own systems
Between Prism licenses, third-party connector stacks, BI tools, and the Clarity specialists required to keep it all running, academic medical centers are spending a quarter million dollars a year before a single insight is produced. Databasin replaces that entire stack.
The CRIO and the CFO have
different problems.
Databasin solves both.
Research operations that don't depend on Epic experts
The data is in Epic. Getting it into a research-ready format requires a Clarity specialist, an IT queue, and three weeks. Databasin was built at WashU Medicine's I2DB precisely because this bottleneck was killing research operations.
- Epic connector handles Chronicles, Clarity, and Caboodle through one pipeline
- Schema changes absorbed at bronze — research pipelines don't break on tenant updates
- REDCap, FHIR, and research databases in the same governed environment
- Natural language queries for research teams who don't know Clarity table names
Financial and operational reporting that everyone agrees on
Your finance team builds models from Epic exports, Workday data, and manually reconciled spreadsheets. The CFO's revenue number doesn't match the CMO's. Month-end close requires a team of analysts just to reconcile the discrepancy.
- Workday and Epic financial data in one governed lake house — reconciliation automated
- One definition of charges, payments, and adjustments — enforced by the platform
- Board and investor reporting from a single trusted gold mart
- Operational dashboards that operational leaders actually trust and use
Live at WashU Medicine. Not a proof of concept.
Databasin runs at WashU Medicine and BJC Health today as the production data infrastructure for clinical research and operations.
"The institutional origin of Databasin isn't a marketing story — it's the reason the product actually works. We built it because we needed it, in an environment where failure had real consequences."
Jake Gower — Co-Founder & CEO, Databasin
See the platform.
Talk to the people
who built it.
Technical demos are led by Chris Lundeberg, Co-Founder & CPO — not a sales engineer reading from a script. Bring your current stack, your constraints, and your hardest data problem.