Flagship · Agentic AI
Autonomous agents that run on your plant — not on a slide.
Plexor's AI agents connect to your control systems and sensors, reason about the live state of the plant, and act to cut downtime and defects before they happen. This is the flagship of the intelligent network.
What “agentic” means for a plant
Not a dashboard. A decision-maker with a job to do.
A dashboard waits for you to notice. An agent has an objective — keep this line running, hold quality on that product — and it pursues it continuously, in a loop of sensing, reasoning, deciding, and acting.
Because every agent is grounded in your live network and your fault history, its judgment reflects how your plant actually behaves — not a generic model that has never seen your floor.
The agent loop
- 1
SenseRead the plant continuously
Agents subscribe to the live network — PLC tags, DCS points, sensor streams, historian context — and hold a current model of every line and asset.
- 2
ReasonUnderstand what it means
Grounded in your process and fault history, an agent interprets drift and anomalies: what is happening, on which asset, and why it matters now.
- 3
DecideChoose the next move
It weighs options against your operating constraints and priorities — throughput, quality, safety — and forms a recommendation or an action.
- 4
ActClose the loop
From a ranked alert to a guided procedure to a supervised control action, the agent acts at the level of autonomy you set — and learns from the outcome.
Use cases
Where the agents earn their place.
Start with one high-value loop and expand. Each agent shares the same live model of the plant, so the second is faster to stand up than the first.
Predictive maintenance
Catch the early signature of bearing wear, motor fatigue, or valve sticking and schedule the fix into planned downtime — instead of discovering it on the floor.
Quality assurance
Watch process parameters against the spec in real time, flag drift before it becomes scrap, and trace a defect back to the line and shift that produced it.
Downtime root cause
When a line stops, the agent reconstructs the sequence across systems and surfaces the likely cause while the trail is still warm.
Energy and throughput
Spot the bottleneck and the energy waste no dashboard makes obvious, and recommend the setpoint change that recovers the most output.
Operator copilot
Give every shift a plant-aware assistant that answers "what changed?" and "what should I do?" in plain language, grounded in live data.
Cross-system orchestration
Coordinate decisions across machines and control systems that were never designed to talk — the whole plant acting as one network.
Early-access pilot
We're inviting a small group of companies to test the agents.
We work hands-on with each pilot plant to put agents on a real, high-value problem and prove the value on your own data. Because Plexor is on-prem, your process data never leaves the site during the pilot.
- Scoped to one or two loops that matter to you
- Runs on your data, inside your perimeter
- Direct work with the Plexor engineering team
- Clear before-and-after on downtime or defects
On-prem promise
Plant data never leaves the site.
The agents, the models, and the decisions all run inside your network. Intelligence comes to your data — your data does not go to the cloud.
Put an agent on your hardest loop.
Tell us the line that keeps you up at night. We'll scope a pilot agent around it and show you what autonomous operations look like on your own data.