Critical Infrastructure and Operational Intelligence

Built for the grid
by someone who
built the grid.

AIS|Grid uses computer vision to verify that completed distribution construction matches engineering standards before assets go live. One photo. One spec. One verified record.

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Verified at Job Closeout
<5%
of new distribution construction is verified against engineering standards today
Avg. Co-op Inspection Cycle
8 Yrs
new construction sits unverified for years before any review occurs
Economic Impact / Storm Event
$150B+
infrastructure failures tied to build quality gaps, not just the storm itself

The Verification Gap

The grid gets hardened.
Nobody verifies the hardening was built right.

Utilities are spending billions on grid hardening programs specifically designed to reduce outage impact from major storms. That investment works — when the work was built to spec. The problem is almost none of it gets verified.

01
The Build Gap
Contractors submit paperwork. Work orders get closed. Photos almost never reach the utility. The gap between what was designed, billed, and actually installed is where reliability failures originate.
02
Manual QA Doesn't Scale
Physical inspection programs cover sampled subsets at best. One former contracts coordinator at a major Southern IOU audited less than 1% of all work in a given week, despite spending half his time on post-job reviews.
03
The Hardening Assumption
Every dollar spent on grid hardening assumes the work was installed correctly. Without post-construction verification, that assumption is never confirmed. Utilities are betting billions on an unverified build.
04
Regulatory Exposure
Rate cases, RUS grant reporting, NERC compliance, and FEMA documentation all require defensible records of construction quality. "We think it was built right" is not a compliance position.

Duke Energy's grid hardening program prevented 300,000+ customer outages and 300 million+ customer minutes of interruption during the 2024 hurricane season. That result is only possible when the hardening work was installed the way it was engineered. AIS|Grid verifies the investment made it into the ground correctly.

Source: Duke Energy 2024 Storm Response Report

AIS|Grid Platform

Four steps from job closeout
to verified record.

Contractor crews capture photos at job completion. AIS|Grid analyzes imagery against utility-specific engineering standards and delivers structured findings to QA/QC teams. Traceable, defensible, and integrated with existing workflows.

Step 01
Capture
Contractor crews submit field photos and job data through the AIS|Grid mobile app at closeout. No new equipment. Any smartphone.
Step 02
Analyze
AI engine processes imagery against utility-specific construction standards, validating framing assemblies, conductor attachments, grounding systems, and equipment installations.
Step 03
Report
Structured deficiency report with photographic evidence, deviation categories, and corrective action recommendations delivered to utility QA/QC stakeholders.
Step 04
Verify
Human-in-the-loop reviewer confirms findings remotely. Documented, traceable, and defensible for rate cases, RUS grant reporting, and NERC compliance.

Why AIroraSense

Domain depth. First-mover position.
Compounding data advantage.

Domain Depth
Built by the person who lived the problem
Nearly 30 years in distribution — lineman through QA/QC Director on both the utility and contractor side. The product was designed by someone who has held the clipboard, written the spec, and stood on the pole in the dark.
First Mover
No AI-native competitor in this category today
Manual QA firms and internal utility inspection teams exist. No purpose-built AI platform for post-construction distribution verification does. AIS|Grid defines this market.
Data Flywheel
Every verified job sharpens the model
Utility-specific construction standards vary by region, vintage, and engineering preference. Every job verified through AIS|Grid trains a model no competitor can replicate without starting from scratch.
Regulatory Tailwind
Utilities need verified construction records. Now.
Rate case pressure, federal hardening grants, NERC reliability standards, and FEMA documentation requirements all demand defensible records. AIS|Grid provides the verification layer utilities do not currently have.
"AIroraSense is an AI company built for the electric utility industry by a lineman. I spent December 2008 in a bucket truck surrounded by ice — 13 days straight after a storm, called back Christmas morning after making it home Christmas Eve. That is the gap we are closing. I know the work that goes into building grid. I know what it looks like when nobody checks it."
Jeffrey Sullivan — Founder and CEO, AIroraSense  |  Nearly 30 years distribution  |  Lineman through QA/QC Director

Design Partner Program

Be the first utility to verify at scale.

We are selecting design partners for our initial pilot cohort. If you run QA/QC, manage construction programs, or oversee grid hardening work — this conversation is worth having.

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