He noticed that the world's genetic tests were built for Western bodies. Then he set out to decode the genome of nearly a billion people the science had skipped.
Tuan Cao calls his latest company the Intelligence Layer of Human Health. The name is grandiose. The work behind it is not. At LIFE AI, a Singapore-based platform he co-founded and runs as CEO, biotech teams that used to spend two years and a million dollars launching a precision-health product can now do it in weeks. When the pharmaceutical giant Kalbe Farma wanted a personalized stroke-prevention product, Cao's team helped ship it in six weeks instead of an estimated twenty-four months. When researchers needed the largest genetic study on autism ever run in Southeast Asia, his platform delivered it for around ten thousand dollars - against a going rate north of a million.
That compression of cost and time is the whole point. Cao spent a career in distributed systems learning how to make enormous things run cheaply and fast. Now he aims that same instinct at genomes. LIFE AI sits on more than fifteen petabytes of genomic data, secured on-chain, with a stated mission that sounds almost like a manifesto: empowering billions to own, use, and benefit from their genetic data. He talks about decentralized science, about a global bio hub connecting scientists and clinicians, about closing the gap between who gets advanced health insight and who does not. In November 2025, Tatler put him on its Most Influential List for Vietnam. He called it a win for AI and healthcare more than for himself.
"AI is no longer just an emerging trend - it's a fundamental driver of innovation."- Tuan Cao
Nearly a decade ago, while still working in American tech, Cao noticed something the genetics industry had largely shrugged off: the gene-decoding tools developed in the United States did not work as well on Asian bodies. The reference data was Western. The risk models were Western. The nearly one billion people of East Asian descent were reading results calibrated for someone else.
Most people would have filed that under interesting. Cao filed it under opportunity. In 2018 he co-founded Genetica to build genetic analysis from the ground up for Asian populations - the first AI-driven gene-decoding company to do so. He oversaw the proprietary machine-learning system that made the readings work. Within a year, more than ten thousand people had used it.
Genetic risk models are only as good as the populations they were trained on. Tools built mostly on European data leave accuracy on the table for everyone else. Cao's bet: build for the billion the industry under-served, and you build something the incumbents cannot copy quickly.
An angry husband once demanded access to his wife's genetic results. Genetica said no. Cao made the refusal a principle: no back doors, no exceptions, no quiet favors. Your genome is yours.
When the cost of a thing drops by orders of magnitude, the question stops being "can we afford it" and becomes "what do we do now that we can." Cao's platform keeps moving that line.
Bars scaled for illustration. Figures as stated by LIFE AI in public interviews.
Think globally from day one.
Empowering billions to own, use, and benefit from their genetic data.
Vietnam's engineers are not just skilled, but they are quick to adapt to new technologies.
The difference in quality standards between countries is one of the biggest obstacles to us.
The Genetica origin story is also a love story. Cao met Bui Thanh Duyen at Cornell - he in computer science, she in molecular biology and genetics. They married, had a daughter, and eventually co-founded the company together with Pham Vu Thanh Giang. One half of the founding couple could read the machine. The other could read the cell. The company sits exactly at that seam.
Cao's path to genomics ran through some unlikely places. An undergraduate degree in India. A Ph.D. in distributed systems. Years optimizing how Google reported advertising data. From the outside it looks like a career that took a hard left turn into biology. From the inside, it is one consistent idea: take something enormous and expensive, and make it fast and cheap enough that ordinary people can use it.
"We don't want to make anything so-called 'back-door.' We definitely don't sacrifice our service quality standards."- Tuan Cao, on privacy at Genetica
Cao's ambition is not a better test. It is a better center of gravity. He wants Vietnam to become Southeast Asia's hub for genetic analysis, and he wants the data to belong to the people it describes.
He frames the country's tech moment in three words - dynamic, full of potential, relentless - and points to a young, fast-adapting workforce as its real edge. He is candid about the hard parts too, naming brain drain as a genuine threat as global firms court the same engineers Vietnam is trying to keep. His answer is to build something worth staying for: a decentralized science model where collaboration crosses borders, ownership stays local, and a billion people finally read genetic results written for them.