Wireless networks built for physical AI

Design, validate and monitor the networks your robots run on.

Robots, AGVs, sensors and cameras need wireless that holds up on every route they travel. eino gives you one 3D digital twin to design that network, prove it with a walk test and watch it once the fleet is live.

One digital twin for every machine on site

Warehouses, plants, ports and yards now run on machines that move. eino puts every network in one twin, so you plan for the fleet you will actually run.

eino Route QoS playing back an AGV route across an outdoor 3D site model and flagging a safety stop where signal quality drops below the usage profile

Design

Score every route before you deploy

Design agents are purpose-built for dynamic sites. Draw the routes your robots and AGVs drive and let the agents check them.

  • Find every failure to the meter.
  • Simulate the real fleet: robots, tablets and phones.
See Route QoS, the first Physical AI product →
Asking the eino AI Assistant in plain language how many radios a warehouse design has and how much of the floor meets -95 dBm

Agents

Ask for the network in plain language

Agents return a 3D model, a design or a BOM from a prompt.

  • “Build a BOM for 40 AGVs and 200 tablets.”
  • “Design private 5G for this warehouse.”
Meet the eino agents →
eino walk test on a phone: live samples land on the floor plan while the 3D model of the floor builds

Validate

Prove it with a walk test

One device measures Wi-Fi, private and public cellular and DAS. Every sample lands on the twin, next to the design.

  • Measured vs. predicted on the same 3D model.
  • Coming soon: walk tests run by a quadruped robot.
Explore the Site Survey walk test kit →Preview robot walk tests →
eino Route QoS tracking trucks and excavators live on a site heatmap, with an alert when one drops below the coverage floor

Monitor

Monitor physical AI performance in real time

Always-on monitoring with indoor and outdoor probes, on the same twin you designed in.

  • Agents run root cause analysis grounded in your digital twin.
  • Every machine and every cell in one view.
See wireless network monitoring →

Case study

Found in 5 minutes. Missed for months.

An NBA arena runs thousands of sensors on a private cellular network. Some had been silently dropping off for months. In five minutes, eino's agent traced it to the radios: two PCIs, with every client crowding onto one.

Vendor-agnostic: eino worked on the probes the venue already had.

What comes next

Where eino is taking physical AI

eino lands with design and expands across the network lifecycle. Physical AI builds on the same real-time digital twin.

Watch

NTT DATA and eino on theCUBE

NTT DATA and eino CEO Payman Samadi talk about what physical AI needs from wireless networks.

Watch the theCUBE interview →

Roadmap

Physical AI workflows are next

Physical AI workflows are on the eino roadmap for 2027. Route QoS is where that work starts today.

Book a demo to see the roadmap →

FAQ

Wireless for physical AI: common questions

Can eino score robot and AGV routes before deployment?

Yes. Draw the routes your robots and AGVs drive, and design agents score each one, simulating robots, tablets and phones and finding every failure to the meter.

What does a walk test measure on a physical AI site?

One device measures Wi-Fi, private and public cellular and DAS, including RSRP, RSRQ, SINR, RSSI, throughput and latency. Every sample lands on the digital twin, next to the design.

Can eino monitor a robot fleet's network after go-live?

Yes. Always-on monitoring with indoor and outdoor probes runs on the same twin you designed in, and agents run root cause analysis grounded in it.

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Plan the network your fleet runs on