A sensor stops reporting at 2am. The dashboard keeps showing its last reading as if nothing changed. A person might catch it. An agent has no reason to doubt it.
How does your team decide when a reading is too stale to act on?
#PhysicalAI #WorldModel
A hot rack, the technician who could check it, and the inspection robot usually show up in three different systems.
In episode 2 of our new One Day AI video series, they鈥檙e in one 3D view of a simulated 1,000-rack data center 馃帴
Watch (link in reply)
#PhysicalAI #OneDayAI
Barely unpacked from Detroit and we鈥檙e headed to NYC 馃敟
Catch us at CREtech next week, Booth #326 at the Javits Center. Shaun Cooley, Robert Goodman, and Donovan Fitch will be there to talk about what AI-ready operational data makes possible.
#PhysicalAI #CREtech
No single sensor tells the whole story. That's why we built Sensor Fusion: one live view of where people, vehicles, and robots are, and how much to trust it.
Our CTO Jose de Castro breaks it down below. At NexusCon? Get a first look at Booth #12 馃憖
#PhysicalAI #WorldModel
Every evaluation has a moment where a data engineer asks whether this becomes another place their data lives.
It doesn't. We get the data out, turn it into a structured model of the site, and stream it to Power BI, Snowflake, Databricks, Fabric or Grafana.
#PhysicalAI
The retention question in a deal rarely comes from the person you've been talking to. It comes from their security team, as a policy.
Three months by default. Ten years for audit. Days if the policy is strict.
Say yes to the policy. We'll match it.
#PhysicalAI #WorldModel
When someone asks how long it takes to get a building onto the platform, most of it happens on the first day.
The scan finishes in hours. Read-only, paced where throughput is tight, and a few days of behavior to confirm what the point names implied.
#PhysicalAI #WorldModel





