We're building Socially Situated Intelligence for Robots in Public Spaces.
Foundation models can reason about the world. They struggle to operate in it — reliably, at fleet scale, in spaces designed for humans. We investigate the points of interaction and the friction where robots break down, in order to build the runtime infrastructure that closes that gap.
Humanoid OEMs, sidewalk fleet operators, service-robotics platforms. We work with a small number of partners before broader release. Tell us what you're operating today and where the failure modes hurt.
We are not building another pilot, another demo, another controlled-environment showcase. We are building the runtime that turns a robot platform into a fleet that operates — reliably, at scale, because it understands social context.
One system. Any robot. Any model behind it. Our runtime is designed to sit above π0, GR00T, Gemini Robotics, OpenVLA, or your in-house policy. Drop it in. Ship.
You pay for the robots in service. We get paid when your fleet is operational. The incentives line up by design.
Our team has studied human-robot interaction across the full spectrum of robotics — from autonomous vehicles at every level of autonomy, to robot trash cans on New York City streets, to commercial delivery operations at fleet scale. Public spaces. Real interaction. Real failure modes. This is the experience we are bringing to the problem.
Robots in the Wild is an infrastructure company. We make robotic fleets actually work — not in a demo, but on the metrics that decide whether the fleet stays funded.
The fleets we work with are trying to fill a labor gap and finding that they can't, because the operational inefficiencies between tasks compound faster than the unit economics improve. Robots are trained to perform tasks. The challenges are between them.
We are roboticists and social scientists working on the gap that doesn't show up in benchmarks — the one that has kept robots out of public space for forty years.
Come join us in building the most advanced socially situated intelligence in the world.
We work with a small number of partners before broader release. Tell us about your fleet, your platform, and the failure modes that hurt — we'll get back within a few business days.