The infrastructure was broken. We built the way out.

Capable organizations were spending 70% of their data budgets just moving and storing data. Barely anything was left for the work that matters. So we built the pluggable intelligence platform that changes it.

HIMSS '23 · '24 · '25
Featured by Microsoft and Databricks at three consecutive HIMSS annual conferences
WashU Medicine
Co-created in production at Washington University School of Medicine, not in a lab
Days , not years
From sign-up to a production data platform. Proven repeatedly across industries

Built because nothing else worked.

The Databasin founders spent their careers building enterprise data solutions for healthcare and mid-market organizations. They built pipelines, stood up warehouses, and helped teams make sense of their data. Time and again, they watched capable teams fall into the same trap: spending 70% of their time and budget just moving and storing data and leaving barely a fraction for the analytics that actually move the business forward.

They watched organizations try to layer AI capabilities onto fragmented legacy architectures and run into the same limitations every time. Projects stalled, vendor costs mounted, and confidence in data-driven decision-making slowly drained away. The problem wasn't talent or ambition. It was the architecture.

Databasin was built to end that cycle. It was co-created in St. Louis at Washington University School of Medicine's Institute for Informatics, Data Science & Biostatistics (I2DB), one of the most demanding data environments in the country. It gives lean teams the enterprise-grade infrastructure that used to require a staff of specialists and a seven-figure technology budget.

Today, highly regulated organizations across healthcare, finance, and construction use Databasin to modernize their data foundations in weeks, not years and skip the complexity tax that has defined enterprise data infrastructure for the past two decades.

"The architectural decisions we made at WashU Medicine — open formats, engine-agnostic storage, LLM-agnostic AI — weren't about flexibility for flexibility's sake. They were about never letting the ecosystem become the bottleneck."

Chris Lundeberg · Co-Founder & CPO

Built for one of the most demanding data environments in the country. Now available to every organization that needs it.

2021
The problem that started everything
Co-created at Washington University School of Medicine's Institute for Informatics, Data Science & Biostatistics (I2DB) to meet the Epic EHR data demands of one of the country's leading academic medical centers. No commercial solution existed at AMC scale.
2022
Production infrastructure, proven under pressure
Databasin deployed in production at WashU Medicine. Epic data management at AMC scale, not a prototype and not a proof of concept.
2023
Microsoft features Databasin at HIMSS
Commercial availability begins. Microsoft recognizes Databasin as the solution to the Epic data challenge facing health systems nationwide.
2024
Databricks joins. The platform expands.
Featured at HIMSS alongside Microsoft for the second consecutive year. The platform extended to mid-market finance, construction, and higher education.
2025
Databasin One — ask your data anything
AI-native Insights module launched. Third consecutive HIMSS feature. Natural language queries now run against governed, gold-layer data with no analyst in the middle.
2026
Credit-based access. Channel partners. Full platform.
Credit-based access launching for data engineers and technical teams. Start with $50 in credits. Channel co-sell partnerships with Microsoft, Databricks, and Snowflake AE networks formalized.

The founders still run every demo.

Jake Gower
Co-Founder & CEO

Jake spent his career building enterprise data solutions for healthcare and mid-market organizations before co-founding Databasin. He leads go-to-market, partnerships, and strategy, and he still joins every executive-level conversation. He knows the problem better than anyone in the room.

Chris Lundeberg
Co-Founder & CPO

Chris is the architect of the Databasin platform. He leads every technical demo himself. He co-created the original Epic data pipeline at Washington University School of Medicine's I2DB and has been building the platform ever since, so when you get a demo, you're talking to the person who built it.

Greg Nichols
Co-Founder & COO

Greg brings twenty-five years as the founder, President, and COO of Technology Partners. Under him that St. Louis tech services firm became a multi-year "Top Workplace" with a perfect 100 Net Promoter Score from clients. A Washington University alum, he returned to his roots to help scale what started at WashU Med.

Organizations using Databasin
WashU Medicine
Saint Louis University
KU Medical Center
KU Health System
St. Francis Medical Center
KVC Health
Technology Partners
McCormack Baron
Mers Goodwill
Compana Pet Brands
EKKL Streaming Services

A number of the organizations listed have been Databasin customers since our earliest production deployments.

How we think about building this.

01
The data team should never be the bottleneck
When every question requires a ticket, a sprint, and three weeks, the data team isn't enabling the business. They're a queue. Databasin eliminates that queue structurally, not by adding headcount.
02
Infrastructure complexity is a tax, not a feature
Every hour spent on ingestion, pipeline maintenance, and storage configuration is an hour not spent on analytics. The complexity tax is real and measurable. Eliminating it is our job.
03
Regulated industries deserve better than workarounds
Healthcare and finance organizations have been told that serious data infrastructure means serious compliance risk. That tradeoff isn't required. Sovereign, private deployment in your own environment delivers both.
04
Openness over lock-in, always
Open table formats. Engine-agnostic compute. Your data readable by any compatible tool, now and in the future. We have no interest in becoming the next proprietary moat you'll spend years escaping.
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