PLATFORM / PHYSICAL AI

Physical AI without the robot. The machine is your infrastructure.

Physical AI is AI with consequences in the physical world. In a control room that means an agent that reads live telemetry, reasons over a model of the grid, the compressor station or the data centre, and proposes an action the operator approves in one click. Then it watches what happened.

Faceplate situation screen: a line overload trend, the agent diagnosis and two scenarios checked by the digital twin
An agent finding with its evidence and two scenarios checked by the twin

The new industrial loop

Today every step of understanding is manual, and it starts after the alarm.

With Faceplate the agent detects the situation, the digital twin checks the options, and the dispatcher decides with the evidence in front of them. Pick an industry and approve the safe scenario.

Today

  1. Collect
  2. Store
  3. Visualize
  4. Alarm
  5. Human investigates
  6. Human decides
  7. Human acts

Critical information arrives too late, partially, or not at all. Three red steps happen under pressure, with the alarm already ringing.

SIMULATION
WARN

SITUATION #5112

Emerging overload risk on Generator 3

Forecast drift67.50
Data drift82.44 ↑
Trust indexStable
CRITICAL LIMITNOWTwin projectionAfter actionNormal operationAbnormal loadT−04:00T−02:00NOWT+02:00

AI agent diagnostics

“Dispatcher, you need to look at this.”Nothing is critical yet. If the trend continues, Line 5112 breaches its limit in about 1 h 40 min.
SCADALine 5112 load rising; Generator 3 carries the extra demand.
HistoryLast major maintenance on Gen 3 over 2 years ago.
Digital twin validationSIM_COMPLETE
B · Redistribute + reduceSAFE ✓
A · Redistribute onlyUNSAFE ⚠
Awaiting dispatcher approval · dispatch centre

The loop Faceplate closes

Six stages, one platform, one human gate.

Select a stage to see the module behind it, the proof, and the question procurement teams ask about it.

↻ Learn feeds the next cycle; Sense, Model and Reason run continuouslyApprove is the only stage a person performs
Faceplate moduleGuaranteed data delivery and the distributed historian
Proof5M+ tags, 99.99% uptime, 5× more data than the system it replaced
The buyer asksWhich protocols?Supported: IEC 60870-5-101 and -104, IEC 61850, OPC UA, OPC DA, Modbus TCP/RTU, Siemens S7, EtherNet/IP, IEC 62056 meters, M-Bus, DCON and SNMP. Ask us about other drivers.

Safety model

An agent that can act must be allowed to act only inside limits.

  • Twin firstEvery proposed action is validated in the digital twin against operating limits before a person sees it.
  • Human sign-offNo command executes without approval, recorded with role and time.
  • Bounded action setActions are limited to what the SOPs and limits allow. Anything outside becomes a recommendation, never an action.
  • Auditable and reversibleFull audit trail, reversible actions, and the model’s trust index shown beside every recommendation.
  • Closed networkModels run on-premise. No telemetry leaves the operator’s perimeter.

Most physical AI is about robots in factories. Faceplate’s is about the infrastructure itself: grids, compressor stations, pipelines and data centres that already report to one platform, with the operator holding authority over every act.

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