Build what the world needs. Faster.
Batteries, vehicles, wearables, infrastructure: the next generation of hardware will define the century. The engineers building it deserve tools that match.
Cursor and Claude Code reimagined how software is built. Hardware is the next frontier.
Every breakthrough in physical product development, from a longer-range battery to a safer vehicle to a more reliable medical device, has waited on the same bottleneck. The test lab.
Terabytes of cycler, dyno, and field telemetry sit in CSVs and proprietary silos. The best engineers in the world spend their days reformatting spreadsheets. Programs slip. Designs ship without their best ideas.
We started Ohm because the cost of slow iteration isn't measured in margin; it's measured in the products that never reach the world. Cheaper batteries. Safer vehicles. Wearables that catch the disease early. Power grids that hold. All of it is downstream of how fast a small team of engineers can learn from a test.
Ohm is the AI platform we wished existed when we were the ones in the lab. It is built to compress the distance between a test starting and an engineer knowing what to do next: from days to minutes, and eventually to seconds.
The bottleneck is not the science. It is the distance between the science and the answer.
Principles we won't trade.
Co-scientists, not copilots.
Our agents are trained in electrochemistry, battery modeling, and the data engineering around them. They don't autocomplete an engineer's day; they sit beside them and do the work that is beneath them.
Physics first, models second.
A model that ignores the physics of a cell or a thermal system is a liability dressed up as a tool. Our co-scientists reason inside the constraints of the systems they study.
Earn autonomy.
Autonomy is given, not taken. We build for the moment a battery scientist or reliability engineer trusts the system to act, and we engineer relentlessly for the steps in between.
Every insight compounds.
A platform is only worth what it remembers. Every analysis, every failure mode, every workflow becomes a permanent asset of the team that found it.
A different kind of AI company. Built for engineers who ship atoms.
Forward-deployed, by default.
Our engineers ship code, but they also wear safety glasses. We sit inside our customers' programs, the only place to verify we've solved the right problem.
Concentrated, by choice.
We do one thing. We accelerate the test programs behind the hardest hardware in the world. We will not chase adjacent markets at the expense of the customers betting their roadmaps on us.
Long-horizon, by conviction.
The companies we serve plan in decades. So do we. We build for the lab that exists ten years from now, with the discipline to ship what helps engineers tomorrow.
“I spent my PhD inside a battery lab watching brilliant scientists lose entire days to data plumbing. The world doesn't have those days to spare. Ohm is what I wished I'd had then, and what the next decade of physical products requires now.”
We're a small team of engineers, ex-founders, and PhD battery scientists building Ohm in San Francisco. Our co-scientists are trained in electrochemistry, battery modeling, and data engineering, and embed directly into customer workflows across R&D and manufacturing.
Backed by Y Combinator and other world-class investors, alongside serial founders and builders.