Intelligence is advancing.
Understanding must advance with it.

GammaLex is a research-driven technology company building Tauss, foundational context intelligence infrastructure for AI. Tauss gives any model a current, connected understanding to act on, across systems and over time, so AI agents can be trusted with decisions that matter.

Change one fact and everything connected to it updates. That is the problem Tauss is built for.

Models keep getting better at reasoning. What they reason from has not kept pace. Records are spread across systems, some out of date, some in conflict, and what one request establishes is rarely carried into the next. A more capable model cannot make up for that.

We are engineers and researchers building at the intersection of AI, scientific discovery, and real-world challenges. Founded by Yen Kha, GammaLex draws on her experience in data and distributed systems and her work on legal claim viability through Stanford Law School’s CodeX, which shaped the questions behind Tauss. Meet the team.

Intelligence that compounds

With Tauss, every request builds on what came before. Knowledge and its supporting evidence carry forward, while new information can challenge earlier conclusions. Agents can recognize what is established, what has changed, and what remains unknown. The domain models we are building and training learn from context Tauss has reconciled, not raw records, and Tauss works with any model, ours or a frontier one. How Tauss works.

Tested where it matters

We study context where mistakes are costly: precision medicine, our lead domain; scientific computing and quantum research with NMSU quantum researchers; and housing and public services with MIT-affiliated researchers. Each asks the same question: can an intelligent system tell whether its understanding is sufficient, current, and grounded in evidence? Our research.

Research in the open

We publish what we learn as research notes and release tools openly, starting with OpenContextually, which helps coding agents find what to read first.

Join us

We work with researchers, engineers, and institutions on this problem. Tauss is available to organisations on request.