AI that knows
your plant.
Forecasts failures before they happen. Explains anomalies in plain language. Learns your plant's behavior — automatically, week after week. You don't manage the AI. It manages your plant.
Six things the AI does for you.
AI built into the platform — not bolted on, not sold separately, not a second vendor to manage.
Failure forecasting
State-of-the-art time-series models predict equipment failures hours to days in advance. Ships pretrained, tunes itself to your plant over time.
Operating envelopes
Automatic safe-operating bounds learned from your plant's own behavior. Alerts fire when equipment drifts outside normal — before it breaks.
Root-cause analysis
Every alert comes with a ranked list of likely upstream causes. Operators stop guessing — and the system sharpens as the team gives feedback.
AI chat
Ask your plant questions in plain language. "How is Compressor-A performing this week?" Get answers grounded in live data, history, and forecasts.
Health scoring
A single number per piece of equipment. Rolls up sensor health, envelope violations, and forecast outlook into something an operator can scan at a glance.
Per-tenant learning
Your models are yours. They fine-tune on your data, in your tenant, and the intelligence stays with you. It compounds into a moat competitors can't borrow.
Model your plant once. Compute everywhere.
Visually map sensors to equipment. Define calculated metrics with a formula builder. Turn your plant's tribal knowledge into a single source of truth that dashboards, alerts, and AI all share.
Smarter every week — automatically.
Customers don't train models. Don't tune hyperparameters. Don't manage GPUs. The AI progresses through four maturity stages on its own — and you see its status in-app.
Start with dashboards. Turn on AI when you're ready.
Same platform. Same dashboards. More intelligence.