Why We Built KindHealth AI
Benefits doesn't have a data problem. It has a judgment problem.
The industry has spent a decade building dashboards and reports. Information is everywhere. What hasn't scaled is the ability to interpret it, explain it clearly, and turn it into decisions you can defend. That's because employee benefits sits at the intersection of healthcare, finance, regulation, and human behavior — every decision requires context, and every tradeoff requires judgment.
That judgment has always lived in the heads of a few experienced people — and after fifteen-plus years across enrollment, underwriting, distribution, and benefits leadership, we watched it become the bottleneck. Consultants and HR leaders weren't short on reports. They were short on time. And employees, handed a packet once a year, were left to guess.
So we built KindHealth AI: an intelligence layer that reasons the way the best in the industry do, inside the workflows where decisions happen. And we built Kio, so the people on the plan get a benefits expert in plain language, any hour of the day.
Not dashboards. Guidance.
Not more reports. Defensible recommendations.
From reporting cycles to decision cycles — for everyone on the plan.
The Founders Who Built It
Albert Pomales is co-founder and CEO of KindHealth AI. He has spent more than two decades in health insurance and employee benefits, from advising employers as a broker to building technology that has helped more than one million people shop for coverage. His experience spans employer plans, consumer enrollment, claims, pharmacy, plan documents, and the workflows of leading benefits firms. Today, he leads KindHealth's work to turn fragmented health plan information into clear, continuous intelligence for employers and their advisors.
Andrew Tomasik is co-founder and COO of KindHealth AI. He has spent more than two decades as a startup executive and entrepreneur, turning emerging technology into products people actually use. At KindHealth he helped grow the company into one of only five national benefits marketplaces, integrating data across more than 250 insurance carriers. Today, he leads product and technology, building the intelligence layer that brings together claims, pharmacy, plan, and operational data so benefits teams can see risk early and act with confidence.