PM AI Agent
The plant-floor assistant, answering from your own process data, SOPs and run history.
Explore PM AI AgentYour process data is already telling you what's wrong. We make it audible.
ProcessMiner watches your process live, predicts quality before spec is missed, ranks what’s driving a deviation, and recommends the set point to move to, so product stays in spec.
Read the transcript
Your process data is already telling you what’s wrong. The problem is hearing it in time. ProcessMiner sits on the historian you already run and shows where quality is heading, for the grade you’re making. It ranks what’s driving a deviation, and recommends the setpoint to move to. In open or closed loop, your operators stay in control. One platform, on your own data.
How it connects
Sits on top of the systems you already run.
Your data
- Historian
- DCS / PLC
- Lab data / LIMS
- Manuals and SOPs
Encrypted, read-only connection
ProcessMiner
- Prediction
- Root cause
- PM Vector
- PM Studio
- PM AI Agent
Your team
- Operator dashboard
- Alerts and set points
- Reports
Closed-loop write-back to the DCS happens only when you choose. Connection details are in the FAQ.
~30 min*
to connect your historian
Hours*
to a first live model
As fast as 2 weeks*
to full deployment
*Best case. The ~30-minute connection assumes your data is ready and your team has finished preparation. Timing depends on data readiness, which the free Data Health Assessment confirms before you commit.
The products
6 products, one platform.
The platform takes you from a live view of the line to the next set point.
The result: ▲ Product quality ▲ Throughput ▼ Material waste
PM Vector
Your best run as a live target. When a variable drifts, operators see which setpoint to move.
Explore PM VectorPM Studio
A no-code environment where your team builds and reviews models offline from its own historical data, then deploys to a live dashboard.
Explore PM StudioRoot Cause Analysis
Ranks the top 10 likely causes when quality drifts. Your team starts with a short list, not hundreds of tags.
Explore Root Cause AnalysisReal-Time Prediction
Predicts quality every 30 seconds for your grade and recommends a correction when it trends out of bounds.
Explore Real-Time PredictionTrialMiner
Standalone trial analysis from one CSV export, compared against your baseline, in one standardized report.
Explore TrialMinerProof of scale & trust
Built for high-variability, high-stakes production.
50+
Plant deployments
Pulp & paper, nonwovens, water
>20%
Less quality variability
Pulp & paper deployments
Read-only
Connection to your historian
Encrypted. Nothing is written back in open loop.
Single-deployment results, measured against each plant’s own baseline. Results vary. How we measure →
Free Data Health Assessment
Prove it on your data.
Start with a free Data Health Assessment. We’ll take a closer look and let you know exactly what your own data can do.
Full deployment as fast as 2 weeks.
Questions, answered
Frequently asked questions
What's the difference between PM Studio and PM AI Agent?
PM Studio is the no-code modeling environment: your process engineers build, deploy, and retrain the grade-specific quality models that power prediction, root cause, PM Vector setpoints, and closed-loop control. PM AI Agent is a separate product: the plant-floor assistant that answers plain-language questions grounded in live process data, PM Vector’s golden-run targets, root cause analysis’s ranked causes, and your own SOPs and manuals. It always ships with PM Vector and Root Cause Analysis.
Is ProcessMiner an AI chatbot connected to our plant data?
No. The platform is physical AI: models trained on your sensor and lab data that predict quality trends, rank causes, and calculate setpoint adjustments, with no language model in that loop. PM AI Agent is the one conversational layer, and it answers only from your process data, findings, and documents. How it differs from a general chatbot →
How does the platform connect to our systems?
The platform reads from the historian you already run (AVEVA PI, OSI PI, SCADA, or similar) through PI Web API or a lightweight on-premises Windows VM agent; OPC UA and Modbus TCP are supported where a site prefers to integrate at the control layer. Nothing is installed on the DCS, no tags are re-engineered, and the historian stays the system of record. Closed-loop writes, if you choose them later, go through Modbus TCP, OPC UA, historian scripts, or API write-back into your existing control architecture. The platform is CPU-based, needs no GPU, and runs on a single server, in the cloud, a private cloud, or on-premises, working from historian data as collected.
Is ProcessMiner SOC 2 certified?
SOC 2 certification is in progress, and 2 independent penetration tests are complete. For sites with strict access requirements, the whole platform runs on-premises on a single server inside your network.
Get in touch
Have a question?
Whether it's our platform, your process, or a free Data Health Assessment you'd like to start, let us know.