Company

Built after the same failure,
four times.

Two decades building systems in healthcare, insurance, enterprise, and legal technology. Different stacks, one recurring incident: the system acted with confidence on context it didn't have — a record never filed, two sources that disagreed, a policy that had moved.

GammaLex is that check, built once, as infrastructure. It was built first in healthcare and patent workflows, and is now being applied across other environments.

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Yen Kha

Yen Kha

Founder & CEO, GammaLex AI

AI-Powered WomenSelected for the 2026 100 Changemakers initiative. Conference held at MIT.

Yen has spent more than two decades building data platforms and backend infrastructure across startups and large enterprises, in healthcare, insurance, enterprise systems, and legal technology.

As AI became more capable, the same problem kept recurring. The models kept improving, but the systems around them still could not tell whether they had the right context before reasoning or acting. A missing record, two sources that disagreed, a boundary crossed, a decision someone had already made — any of them changed the result, and nothing surfaced it in time.

GammaLex began as healthcare and patent implementations of that check and became an infrastructure thesis: an agent needs a reliable way to know whether the context behind a task is complete, current, consistent, and permitted.

GammaLex exists to make that check a layer any agent can call.