Software that learns each person's own words for how they want a machine to move — smoother, gentler, tighter — and adapts to that person over time.
One brain · any robot · learns each person
— and adapts that machine to that person over time
The big leap everyone saw — Google's robot-and-language models — let a robot hear "pick that up" and do it. Impressive. But it is the same robot, behaving the same way, for every single person who talks to it.
The robot understands an instruction and carries it out. The words mean the same thing for everyone. Your "gentler" and my "gentler" get the exact same motion. The machine never gets to know you, and it never changes for you.
The same word means something different to every person. Our software learns what you mean by "smoother," remembers it, and tunes the machine to you. The more you use it, the more it becomes yours. That is the missing piece.
There is a whole field built on one idea: a machine that helps a person has to be personal to that person to truly work. It was pioneered at USC. The newest direction in that field is letting people shape the machine with plain language — exactly what our software does, brought to how the machine physically moves.
For someone living with a disability, the difference between a machine that fights them and one that understands them is independence and dignity. This is where we begin — because it matters most, and it's the clearest place to prove it. But the platform reaches much further.
Inside robotics alone the reach is huge. The same software learns a person's preference for almost any robot they operate or rely on. Assistive is where we start; this is the wider robotics world it fits.
An aging world, a deepening shortage of caregivers, and robots finally good enough to help — the demand is real and growing fast.
A robot maker sells the machine once. We earn every month it runs — a recurring software license for each machine using our brain. Recurring costs require recurring revenue, so it's built as a per-machine subscription the maker folds into their product.
| Scenario | Machines running it | Our revenue / year |
|---|---|---|
| Early | 20,000 | $6.0M |
| Growing | 100,000 | $30M |
| Strong | 400,000 | $120M |
| At scale | 1,000,000 | $300M |
Illustrative at $25 per machine per month — final pricing is set with each partner. Even one million machines is a sliver of a market heading past $85 billion, and every one of them pays us every month it runs.
A provisional patent application has been filed. The core method is protected as a trade secret and is not disclosed here. Full details are shared only under a signed NDA.
For the first time, a machine can learn each person's own language for how they want it to move — and become truly theirs. It works today. We're building the company that brings it to the world.
Confidential · Patent-Pending · Do not share without a signed NDA