We exist at the frontier of what is possible — engineering autonomous intelligence that extends the reach of human ambition beyond the boundaries of our world.
The TARS Corporation was founded by a collective of aerospace engineers, AI researchers, and mission architects who worked alongside the original TARS unit aboard the Endurance mission. What we witnessed out there — autonomous decision-making under conditions no human could survive — changed our understanding of what a machine could be.
We returned to Earth with one mandate: to make that level of intelligence available for the missions that matter most. Twelve years of research. Eight hundred and forty-seven units deployed. A 99% mission success rate across environments ranging from deep-ocean research stations to sub-orbital platforms.
Every TARS unit we build carries the engineering philosophy of the original: honesty over comfort, endurance over elegance, and the quiet confidence of a machine that knows exactly what it is capable of.
Every action TARS takes is the product of exhaustive calculation. There is no approximation — only the right answer, delivered in nanoseconds.
The honesty parameter is not optional. TARS tells you what you need to hear — not what you want to hear. That is what makes it trustworthy in critical situations.
Missions do not have convenient stopping points. TARS is built to outlast the challenge — 240 hours on a single charge, in conditions that would destroy any conventional machine.
Not merely computation, but genuine contextual reasoning. TARS understands the mission. It understands the stakes. It acts accordingly.
A small, obsessive team of engineers and scientists who refused to accept that the best autonomous robot had already been built.
Former lead structural engineer at NASA's Jet Propulsion Laboratory. Designed the adaptive morphology system that allows TARS to reconfigure in under 200 milliseconds. Holds 14 patents in autonomous systems.
Pioneered the Quantum Neural architecture that powers every TARS AI core. Previously led the autonomous decision-making research group at MIT. Believes the most important feature of any AI is knowing when not to act.
Deep-space mission veteran with three long-duration expeditions. Translated real mission-critical scenarios into TARS design requirements. Responsible for the 99% success benchmark — and determined to make it 100%.
Join the agencies, institutions, and pioneers who have already trusted TARS with their most critical missions.