One platform. Any data problem.
We saw the same fragmentation, the same infrastructure debt, the same 18-month implementation timelines — in healthcare, in enterprise finance, in growing enterprises. We built Databasin as the answer.
Epic holds your most valuable clinical, financial, and operational data — and makes it nearly impossible to access at the speed your organization runs. Chronicles, Clarity, Caboodle, and nightly CSV exports are not a data strategy. Co-created at Washington University School of Medicine to solve exactly this problem, at AMC scale, in production.
Workday holds your best finance and HR data behind a reporting interface that defeats non-specialists. Prism Analytics costs six figures and still requires a warehouse. Every custom report is a project. The data you need to run your business is in there — getting to it shouldn't require a team of consultants.
Organizations between $350M and $1B in revenue carry the same data infrastructure complexity as the enterprise — without the IT budget to match. Legacy systems, fragmented reporting, and a dependency on expensive implementation consultants are the norm. They don't have to be.
Most enterprise data stacks are an accumulation of point decisions made under pressure — warehouse here, connector layer there, ETL tool, BI platform, AI API. Each justified at the time. None of them architected together. The cost isn't just the invoices — it's the engineering hours, the pipeline failures, and the AI projects that never reach production.
- Client deployments stalled on data ingestion and pipeline complexity
- Executive sponsors losing confidence in platform investments
- Renewals at risk because the promised value hasn't materialized
- No co-sell motion for the "last mile" of data pipeline completion