Global energy systems are under unprecedented pressure. Rapidly growing demand from AI, data centers, and volatile energy markets are placing enormous pressure on power generation, while fuel availability and energy costs remain increasingly uncertain. Building new capacity takes years. Improving the performance of existing assets can begin today. IQ Energy AI uses advanced AI and predictive analytics to help energy producers uncover inefficiencies, anticipate equipment problems, and extract more reliable performance from the assets they already operate.
See what predictive maintenance could be worth for your specific plant — real cited industry data, your own numbers, transparent math.
Calculate My SavingsIQ Energy AI is built by a team of experienced engineers with decades of operational and maintenance experience across power plants, refineries, mining operations and other energy-intensive industries. We're a software startup, but we're not guessing at what plant engineers need. We're bringing real-world operating experience and engineering rigor to an AI-driven predictive analytics and optimization platform.
Built around the one objection every utility engineer raises first — access to their control systems — and the one question every plant owner actually needs answered: what to budget, and when.
A collector inside your DMZ reads OPC-UA, Modbus, or historian tags — outbound only. It cannot write to your DCS or PLC, enforced in the code itself, not just policy.
A survival-curve model — the same class of math used in reliability engineering — compares your equipment's current condition to similar assets' real failure history.
180-day and 360-day failure probability per asset, ranked by risk — so maintenance budgets and outage planning are based on a number, not a red light with no timeline.
No access to your control network is required to get started. Here's exactly what happens, start to finish — and why a plant engineer can sign off on it.
A collector inside your DMZ reads tags outbound-only. No write access to your control system, ever.
A survival-based model places your equipment against similar assets' real failure history.
180-day and 360-day failure probability per asset — a number you can actually plan a budget around.
Starts from industry-informed estimates; sharpens as your own plant's operating history accumulates.
Once you subscribe, our engineers handle the on-site work: installing the read-only edge collector, configuring it against your actual DCS or PLC endpoint, and registering your specific tag list. From that point, your dashboard is genuinely live — reading real data from your real equipment, never writing anything back.
Not ready to commit to a live connection on day one? Upload a CSV or historian export instead, and we'll run it through the same reliability model — a real, if not live, view of your equipment's risk exposure almost immediately, and a natural on-ramp toward a full live connection whenever you're ready.
Search any real power plant and see how our AI would monitor it — real architecture, real math, zero access to your systems required.
Pick your boiler count and see your price instantly — equipment details come right after checkout, once your plan is confirmed.