He is teaching machines to build spacecraft - and racing a 2026 deadline to prove it works.
Most satellites are still built the slow way: by hand, by specialists, one careful weld at a time. Jacob Rodriguez looked at that and saw a manufacturing problem hiding inside a science fiction one. Oligo Space, the company he founded in 2024, is building a manufacturing-in-the-loop foundation model for spacecraft - reinforcement-learning environments, vision-language models, and multi-agent systems all aimed at automating an in-house design and build pipeline for satellites over 100 kilograms.
He describes the goal plainly: make space-grade hardware as efficient and accessible to produce as car parts. The word he keeps returning to is access. Not for one company, not for one country, but for anyone with a reason to put something useful in orbit. It is a big claim from a small team. That is rather the point of him.
In 2012, the retired Space Shuttle Endeavour took one last flight - bolted to the back of a carrier jet, looping low over Los Angeles on its way to the California Science Center. Rodriguez was in elementary school, growing up in a low-income California neighborhood, when it passed overhead. "At that moment, I knew there were futures beyond anything I'd imagined," he later said.
That sentence is the whole arc compressed into one line. He was a first-generation college student who did not grow up assuming space was a place people like him got to go. The shuttle changed the math.
A full scholarship to MIT followed, where he studied astronautical engineering with a concentration in robotics and autonomous systems. He did not pick a single lane. His research ranged from nuclear propulsion to robotics, and he interned at NASA's Jet Propulsion Laboratory - the same lab that builds the rovers and deep-space probes that had once felt impossibly far away.
At MIT he served as deputy team lead on WORMS, the Walking Oligomeric Robotic Mobility System - a set of nearly identical articulating "worm" modules that snap together into different walking robots, scaling from kilograms to tons of payload. The project was striking enough that MIT showed it off at Amazon's MARS conference. It is also, quietly, where his company got its name. Listen to "Oligo" and you can hear the "Oligomeric" he spent years building.
Then he did the unusual thing. In 2024 the Thiel Foundation named him to its fellowship - a $100,000 grant whose central condition is that you leave school to build. He took it, walked away from the MIT diploma that was nearly in hand, and went to work.
It is worth sitting with that choice. A full-ride MIT degree in aerospace engineering is the kind of credential most people spend a lifetime trying to earn. He had it, finished or nearly so, and treated it as optional. The Thiel Fellowship is built for exactly this temperament - it pays young builders to skip the well-worn path and ship something instead. The trade only makes sense if you are more interested in the thing you are building than in the proof that you could build it.
The first-generation thread runs through all of it. He was not handed a map to the aerospace industry. He drew one. And the company he ended up drawing is, fittingly, about handing maps to other people - lowering the barrier so that building a spacecraft stops being the private language of a few large institutions.
Before Oligo, there was WORMS. At MIT, Rodriguez was deputy team lead on the Walking Oligomeric Robotic Mobility System, an architecture with a deceptively simple idea at its core: build one good module, then let complexity emerge from how the modules combine. Each "worm" is a nearly identical articulating limb. Snap a few together one way and you get a six-legged walker. Snap them together another way and you get something that can haul tons. The intelligence lives in the configuration, not in a hundred bespoke parts.
That is a philosophy, not just a robot. It says the path to capability is not more custom engineering - it is fewer, better building blocks arranged cleverly. You can draw a straight line from that idea to Oligo's modular HERMES and APOLLO interfaces, which aim to be universal electromechanical connectors for spacecraft. Same instinct, bigger stakes: standardize the joints, and the systems you can build on top of them multiply.
It also explains the name. "Oligo" lives inside "Oligomeric" - the word in WORMS that describes a small number of repeating units forming something larger. He did not just keep the technology in spirit. He kept the syllable. For a founder, that is a quiet kind of consistency: the company is a continuation of the thesis he was already proving as a student, scaled up from robots that walk to spacecraft that orbit.
A foundation model that doesn't just design a spacecraft on a screen - it closes the loop with how the thing actually gets built, using RL environments, vision-language models, and multi-agent systems.
Oligo runs its own design-and-manufacturing pipeline for satellites over 100 kg across multiple orbits - the goal being speed and accessibility, not artisanal one-offs.
The company's first spacecraft is slated to fly in 2026 aboard SpaceX's Transporter-15 rideshare mission - the first real test of whether the automation thesis holds in orbit.
Modular, universal electromechanical interfaces designed to make spacecraft development something teams can plug into - lowering the barrier to building hardware that survives orbit.
Most of the recent noise around foundation models has been about text and images. Pointing one at the physical act of building flight hardware is a different proposition entirely. A satellite is unforgiving: it has to survive launch loads, vacuum, radiation, and thermal swings, and there is no field service call once it is in orbit. Software that wants to participate in that process has to respect physics, not just pattern-match it.
That is the wager behind "manufacturing in the loop." Instead of treating design and fabrication as separate phases handed between separate teams, Oligo describes a system where the model learns inside the constraints of how the hardware actually gets made. Reinforcement-learning environments give it a place to try and fail cheaply. Vision-language models let it read and reason about physical layouts. Multi-agent systems let different pieces of the problem be tackled in parallel rather than serially. The ambition is a pipeline that compresses the months-long gap between "we have a design" and "we have a working article."
The comparison Oligo keeps reaching for is automotive. A car company does not hand-build each vehicle as a one-off science project; it engineers a process, then runs it. Spaceflight has historically resisted that logic because the volumes were low and the stakes were high. Rodriguez's bet is that the volumes are no longer low - rideshare launches like SpaceX's Transporter program have turned getting to orbit into something closer to catching a scheduled bus - and that the bottleneck has quietly moved from the rocket to the satellite itself.
That reframing is the whole company. If you believe the hard part of space is now building the spacecraft, then a startup that makes the building faster, cheaper, and more accessible is sitting on the right problem at the right moment. Chimera-1 is the first time that thesis meets gravity, vacuum, and a launch manifest. Either the automated pipeline produces a working satellite, or it teaches the team exactly where the model's understanding of the physical world breaks down. Both outcomes are useful. Only one of them is a press release.
Profile compiled from public sources: Payload, MIT AeroAstro, the Thiel Foundation, and Oligo Space. Facts only; no guesses.