Our Philosophy
Tomorrow's data scale defines today's infrastructure. The behaviour data we’re collecting will soon become much larger than any text-based training corpus in the world. We're building infrastructure to handle this from day one. Our systems are designed for the long haul, and our team is comprised of ruthless performance engineers to get us there.
Great products drive great research, not the other way around. Computer use models are still in their infancy: today they fail too often and move too slowly to automate most real work. The biggest product unlocks will come as the models mature, and the only path there is through building widely-used products that surface utility at scale and create the feedback loop research needs.
Models that take seconds to act aren't models that act. The best computer use frameworks today take up to tens of seconds per action. That's unusable for real work. We're targeting sub-second latency and we’re not afraid to ditch transformers to get there.
About us
We’re researchers who build. We scaled reinforcement learning infrastructure at Cohere and shipped the Command models that set new state-of-the-art.
We move fast, stay flat, and do whatever it takes to solve hard problems. We’re backed by Y Combinator and are hiring exceptional engineers who want to push the frontier of computer-use models. Leave us a note at hiring@inductionlabs.com if that sounds like you.