More building software ships with its own AI assistant, and each one only knows its own system. At NexusCon, owners told us they’d rather use one assistant and connect it to every vendor through MCP.
How is your team deciding which assistant to work in?
#PhysicalAI #WorldModel
Our airport demos run in a simulated environment.
Here’s what it looks like live: at a major US airport, a partner built on Mapped to bring 170,000+ assets and 120,000+ live data points into one graph, targeting 20-25% lower maintenance costs by 2030.
#PhysicalAI #WorldModel
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’re in one 3D view of a simulated 1,000-rack data center 🎥
Watch (link in reply)
#PhysicalAI #OneDayAI
Barely unpacked from Detroit and we’re headed to NYC 🔥
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 👀
#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





