Robotaxis now run paid routes in a growing list of U.S. cities, from Phoenix and San Francisco to Austin. Autonomous trucks haul ore through mapped mine sites. Driverless tractors work fields with no one in the cab. Each of those depends on a loop that rarely gets described: building models, testing them in simulation and on real vehicles, collecting the data, and validating the safety case, in whatever order the problem demands. Gattani has worked at both ends of that loop, first as the person who decided when a robotaxi was ready for public roads, now building the simulation and data systems the wider industry runs on.
He's seen autonomy from two sides. At Cruise, one of the first companies to put fully driverless cars on public roads across several U.S. cities, he owned vehicle integration and platform readiness, the gate every robotaxi cleared before it could carry a passenger. He now leads technical programs at Applied Intuition, a Sunnyvale company building the digital infrastructure to bring intelligence to every moving machine on the planet, from cars and trucks to mining, construction, defense, and agricultural equipment.
