AI for utilities energy
AI for energy and utilities
Trim where the risk is, pre-stage crews before the storm, forecast the load that is coming. 2x ROI in 90 days, or we work free.
Vegetation drives your outage minutes.
Trim cycles run on the calendar, not on risk, and the regulator counts every minute.
Storms find you unprepared.
Crew pre-staging is a judgment call made with yesterday's information.
Load forecasts built for a different decade.
Data-center and electrification demand moved faster than the planning models did.
What we build for energy and utilities
Vegetation-risk prioritization.
LiDAR and imagery scored by ignition and outage risk, so the trim budget goes where the risk actually is.
Predictive outage analytics.
Weather, asset condition and outage history combined, so crews pre-stage on signal instead of hunch.
Wildfire risk flagging.
Imagery and line-sensor data watched for the conditions that precede ignitions, flagged for your engineers.
Load forecasting for new demand.
Forecast models that account for the data-center and electrification demand already in your queue.
Asset inspection document automation.
Field reports and photos structured straight into the asset registry, instead of dying in folders.
Regulatory reporting prep.
Reliability data assembled and checked. Your team reviews and files; a named person signs.
Proof, honestly
We have not published a case study in energy & utilities yet. Here is the system we would adapt, and the founding-client terms.
No published utility case study yet, and we say so. Founding clients get priority scheduling, direct founder involvement, and a co-published case study once the numbers are real. The 2x ROI guarantee applies from day one.
We guarantee 2x ROI inside 90 days. Our average client sees 4.1x within 120. The floor is the promise; the average is what actually happens.
The numbers in energy and utilities
CenterPoint Energy cut vegetation-related outage minutes 50% year over year with a LiDAR-based AI digital twin (T&D World, 2025).
CenterPoint Energy (via T&D World) · 2025
Energy companies report roughly 170% average ROI on deployed AI (AIxEnergy, 2025).
AIxEnergy · 2025
Built around your rules
PIPEDA
Customer personal information handled to respect Canadian privacy law.
Critical-infrastructure security
Built to respect NERC CIP boundaries where assets are in scope: systems deploy inside utility-controlled environments and never touch control systems.
Regulator reporting
Reliability filings are assembled and checked by the system; a named person reviews and signs. Accuracy duties stay where your regulator put them.
Vendor posture
Our core vendors publish SOC 2 reports on their trust pages. We design within that posture and claim nothing we do not hold.
Systems deploy inside utility-controlled environments, control systems stay untouched, and CIP boundaries are respected by design where they apply.
Tech choices for energy and utilities
See the full capability mapClaude
Field reports, inspections and filings: extraction and drafting.
Modal
Scheduled imagery scoring and forecast runs, GPU on demand.
Supabase
Asset, risk and outage data store.
Run your numbers.
Your operations
Savings use the low end of our 25-50% hours-reclaimed range. The math is conservative on purpose.
The math
Calculated at the low end of every range.
If this math doesn't come true within 90 days, we work for free.
The hard questions
Free · 3-5 days
Know your number in five days.
We map your operations, find the highest-ROI automations, and hand you a ranked plan with the payback math attached. Yours to keep, whoever builds it.
Prefer to talk first? Book 15 minutes with James. No pitch deck.