Robots that build. Precision that scales. Workers designed around the work.

A trade defines a real problem: setting tile, pulling wire, filling a cable tray. We design the worker around that task, the conditions on site, and the economics of getting the job done.

Purpose-built machines let us start with useful work now. Tyler is our first worker, installing flooring alongside existing crews. Wattson is in pilots. Trey is in development. Each has to earn its place on the jobsite.

Today, physical output is tightly coupled to human headcount. More projects usually mean more people, even when those people are already hard to find.

We are working to break that relationship. The first step is practical: give contractors machine labor that fits their workflow, holds its pace, and produces work they can inspect. The crew still brings judgment, preparation, and finishing to the job.

Cloud computing did more than make servers cheaper. Once compute became reliable, provisionable infrastructure, it enabled companies and products that had previously been impossible. We believe physical work is next.

We call this ambition physical compute: machine labor that can be deployed, coordinated, monitored, and trusted as infrastructure. Reaching it takes more than a capable robot. It takes dependable delivery, recovery when things go wrong, and evidence that the work is done.

Physical intelligence is the capability underneath: perceiving the site, planning the task, controlling the machine, and responding to the unexpected. Construction is where we are putting those capabilities to work.

Over time, this becomes the Autonomous GC: given a scope of work, provision the right machine labor, coordinate execution, verify the outcome, and deliver the project.

That is the destination. Today, we start with defined tasks alongside contractors and their crews. Our Preferred Bidding Network connects that work to real projects, from discovery and bidding to installation with Tyler.