Smartphone-native capture
The only device every actor in all three environments already carries — citizens, crews, inspectors.
Across every market we serve, the intent is the same: take what citizens, crews, and field reporters can see, cluster it under multi-observer geometric convergence, validate it before it leaves our pipeline, and emit a validated observation feed into the systems that already drive your decisions. We add signal — we do not displace what's already there.
Validated observations during W1 / W2. Audit-grade Public Assistance documentation.
OMS feed in storm-mode; T&D inspection and restoration verification in steady-state.
Multi-observer-validated clusters from citizens and crews into the same intake stream.
Same offline-first capture, same clustering, same emission — different policy graph.
OpnIMG exists to close the observation gap between what people in the field can actually see and what your operating systems know about. The gap is widest during the first seventy-two hours after a major event, but it exists in steady-state too — it just gets buried under the volume of normal operations.
The only device every actor in all three environments already carries — citizens, crews, inspectors.
Five-path sync stack with capture order preserved by signed device timestamps.
Same multi-observer clustering and confidence scoring whatever the market context.
Documented endpoints into the stack already running there. Routing and dispatch stay where they live.
State Emergency Management Agencies, FEMA regional staff, county OEMs, mutual-aid coordinators, voluntary organisations active in disaster (VOAD), and the IOU storm-response leadership that interfaces with all of the above.
Damage triage stops being anecdotal. Documentation for FEMA Public Assistance becomes audit-grade — every cluster carries a cone-intersection polygon, aggregated CV evidence, and a reference to the active event. Mutual-aid sequencing happens against multi-observer validated damage rather than modelled estimates.
FEMA Public Assistance obligated more than four billion dollars in Category B emergency work for Hurricane Ian alone (DR-4673-FL). Hurricane Helene took roughly seventy-one percent of Western North Carolina cell sites offline twenty-four hours after landfall.
We size dollar values against your operating baselines under NDA — not against published storm averages. Counterfactual savings figures appear in OpnIMG materials only when labelled as model output, not measurement.
Tier-1 investor-owned utilities in the U.S. Gulf region, public-power, and co-op T&D operations. Storm-response leadership, vegetation management, contractor management, customer experience, and the OMS / ADMS engineering teams that integrate it all.
Storm-mode OMS gets a validated, clustered observation feed during the first-72-hour window. Steady-state operations get a structured surface for T&D inspection, vegetation, pole and ROW conditions, contractor verification, and restoration close-out. The same platform performs in both modes — no second tool to procure, train, and integrate.
The reference-number-only architecture means your authoritative asset record stays inside your OMS. We deliver geometric evidence and CV-tagged clusters; your system returns an opaque reference that closes the audit loop.
Pilot-validated dollar values will be added as soon as utility partners share measured baselines.
Tier-1 city CIO / CTO offices, public-works directors, transportation, code enforcement, parks, right-of-way management, and smart-city programme leads.
311 systems collect text and photos but rarely produce structured, deduplicated, asset-correlated observations. Visual triage stops at the intake form. OpnIMG turns citizen and crew observation into multi-observer-validated clusters with audit-grade geometry — and surfaces the same view during weather events without a second platform.
Identity-tier weighting handles the spam-attack vector: an attack from anonymous accounts would have to fabricate several geometrically coherent cones with consistent CV labels before triggering any external system call.
Pilot baselines from city partners replace these qualitative descriptors with measured outcomes once available.
We have deliberately not published commercial savings figures on this page. Every operating environment is different — your crew-day cost, your customer-day cost, your truck-roll baseline, your documentation backlog. The right number is the one your finance team can defend internally. We bring the methodology; you bring the baselines; the pilot measures the gap.
Counterfactual savings figures — modelled avoided losses across historical storms — appear in OpnIMG materials only when labelled as model output, not as measurement. Operational figures from specific storms are not asserted in external materials unless a source-validated figure exists at the time of writing.
Utilities, EM agencies, municipal CIOs, integration partners — use the form below. We do not publish email addresses.