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Informatics leader · Founder · Applied AI builder

Making complex technology useful, trustworthy, and human.

I’m Marty Koepke. I work at the point where operational needs, technical systems, and human judgment meet — turning complicated ideas into systems people can understand, govern, and actually use.

Marty Koepke

The throughline

The tools change. The work underneath them does not.

For more than fifteen years, I have helped clinical, operational, and technical teams make consequential systems work in the real world. That means defining the actual problem, making evidence visible, keeping judgment with the right people, and designing a path people can follow.

Over the last eighteen months, I brought that same discipline into founder-led product building. I learned the stack from the ground up — not to chase a trend, but to understand what separates a promising prototype from a useful, governed, market-ready product.

01

Make complex systems useful

Workflow design, informatics, implementation, governance, and the translation between operational needs and technical teams.

02

Build AI products responsibly

Clear decision boundaries, human review, evidence, testing, traceability, and honest limits — built into the product rather than added at the end.

03

Help good work become understood

Helping experts and businesses communicate clearly, establish trustworthy evidence, and be represented accurately in an AI-mediated market.

A product of the work

Daizie helps businesses see what AI is saying about them.

Daizie grew from my own experience building a business and discovering that AI systems were already describing it — sometimes accurately, sometimes not. It brings together measurement, evidence, human verification, and a practical next move.

Grounded in practice

2,500+ambulatory sites reached by enterprise informatics work
25,000+clinicians across the systems I support
$26M+annual labor savings from automation work I helped lead
15+ yearstranslating operational needs into usable systems

These are outcomes and scale from enterprise work I helped lead. They are not presented as results from Daizie or from my independent products.

Keep exploring

I share the work while I am still close enough to remember what was difficult.

Field notes, practical frameworks, and carefully chosen resources for people building, adopting, or trying to make sense of AI.