Read what the field is telling you.
Computer vision works through storm photos, aerial imagery, and written field reports to build a ranked view of what is likely damaged.
Dovrane weighs the damage reports against your crews, your materials, road access, and who is on each feeder—then recommends a repair order, shows the alternatives it rejected, and explains why. Your operators make the call.
Working beta · Testing against simulated storms · Operators always make the call
Reports come in
Aerial photo E-184 and field ticket F-77 land in the event record.
Read-only advice that sits beside your OMS, GIS, ADMS, and work management.
Where the gap is
Your systems already tell you what broke, where it sits, and how the work gets tracked. None of them tell you what order to fix storm damage in. That gap—utility restoration sequencing—is the whole of what Dovrane does.
How the AI works
Dovrane applies computer vision and constrained optimization to one narrow problem in power grid restoration: the decision between knowing what broke and sending a crew to fix it.
Computer vision works through storm photos, aerial imagery, and written field reports to build a ranked view of what is likely damaged.
Every conclusion stays tied to the evidence behind it, when that evidence arrived, what was still missing, and where two reports disagreed.
The optimizer builds complete repair orders, scores them against your crews, materials, access, and topology, and throws out the ones that cannot be executed.
How it works, step by step
Each step records what you knew, what was still unclear, what limited the options, and who made the call.
Damage photos, field reports, weather, asset records, and read-only pulls from your existing systems—each stamped with the time it arrived.
A ranked read on the damage, including where reports disagree, what hasn't been assessed, and where the model declines to guess.
Feeder topology, crew classes and shift hours, materials on hand, road access, safety holds, and critical loads like hospitals.
Several complete restoration plans, each built from the same picture of the event at the same moment.
Plans that break a known limit—no qualified crew, road closed, part unavailable—are held back rather than ranked.
One suggested repair order, with the estimated restoration curve, the runner-up plans, and why this one came out ahead.
Accept it, change it, hold it, or reject it. Your reason is saved alongside the recommendation.
Observed results are kept with the recommendation, so any decision can be replayed using only what was known at the time.
Every recommendation, fully explained
Dovrane shows the evidence, the tradeoffs, the plans it passed over, and the things it was not sure about. No black-box score.
No qualified crew free until 14:36 UTC
Road access to the site not confirmed
How we build it
We do one thing: help you choose the repair order, test that honestly, and leave the authority where it belongs.
Missing and conflicting reports stay visible instead of being smoothed over. “Not sure” is a valid answer.
Topology, crews, materials, road access, safety holds, and critical loads shape every option it offers.
Each recommendation carries the alternatives, what limited them, and why this one ranked first.
Reviews rebuild the picture as it stood at the moment of the decision. No hindsight.
Repair orders are compared against your approved baselines and what actually happened on the ground.
Fits alongside what you already run
Dovrane takes a bounded, read-only feed from your systems and hands back a recommendation for your team to review. Nothing flows the other way.
No connection to dispatch, switching, or any operational technology.
How the read-only OMS and ADMS boundary worksProof before promises
We report the full spread of results, the bad cases alongside the good, every constraint we broke, and the baseline we measured against—so you can judge the method, not just a number.
How we test itQuestions we get
Short answers to what comes up in the first conversation, including the ones where the answer is no.
Next step
We would rather show you the method than pitch you a number. Start a conversation about a bounded look at one of your past events.