Live sensor monitoring, permit breach prediction, and step-by-step AI guidance — built for the operator on shift, not the engineer at a desk.
Operators don't need a sea of charts. They need to know where they sit on the ladder — and what to do next.
The console fades into the background. No alerts, no noise — just ambient confirmation the plant is doing its job.
AquaFlow predicts breaches before they happen. An amber status bar surfaces on the card with a 6-hour forecast and the one action most likely to keep you clear.
A glass-bannered walkthrough guides you through 4–6 concrete operator actions. Every tap is audit-logged, so your shift handover writes itself.
Urgency banner, process diagram with the affected stage highlighted, AI recommendation streaming live. No layout change, no surprise — just the right answer on top.
Every pixel was measured against an operator at 2am in a fluorescent-lit control room with gloves on. Big values, warm near-black text, 44px tap targets, no chrome that isn't earning its keep.
Before the storm hits, simulate it. Raw turbidity to 8 NTU? Alum supply short by 20%? The AI writes the response plan against your plant's own 5-year baseline.
4–6 concrete steps. Tap each as you do it. Every action writes to the audit log. Your shift handover comes pre-written.
Spring runoff, August drawdown, that one weird weekend in 2023 — the AI has read it all. Every recommendation cites a real historical comparable.
Ontario Reg 170/03 and MECP permit data sits at the core, not bolted on. The audit log writes to Supabase in real-time and exports as a clean PDF the moment an inspector asks.
Upload your sensor data. Get threshold alerts with AI-powered recommendations specific to your plant's history — and an audit trail that writes itself.
Bring a SCADA export or point us at your OPC-UA feed. Your historical baseline seeds on day one; the AI has context by shift two.