The Company
AIroraSense is not an AI company that found a utility problem. It is a utility career that produced an AI company. There is a difference.
The Founder
Nearly 30 years in electric utility distribution — on both the utility and contractor side. Jeffrey started in the field as a lineman and worked through every layer of distribution operations: field execution, engineering and design, QA/QC oversight, safety leadership, and operations management.
He has audited contractor work, written construction standards, managed QA/QC programs, and directed teams responsible for verifying that grid infrastructure was built to spec. He knows what the gap looks like from every angle. AIS|Grid is the product he wished had existed throughout that career.
What We're Hearing
"This would help us make sure our storm hardening work is being built correctly, since we are spending what we spend on it."
A regional contractor added dedicated QA/QC resources to keep up with inspection requirements, pushing department spend toward $300K annually. Inspection coverage still focused on large cost projects — less than 25% of total work completed.
"Half my week was spent performing post-job audits but I only saw less than 1% of all work. The guidelines were jobs greater than $50K in cost or if they exceeded a certain threshold of designed cost. Other than that, only random inspections were conducted."
Why Now
Grid hardening programs are the largest capital deployment in utility history. Every dollar assumes the work was installed to spec. AIS|Grid is the verification layer that confirms it was.
RUS grants, FEMA documentation, NERC compliance, and rate case filings all demand evidence of construction quality. The era of "we think it was built right" is ending.
The AI tools to analyze field imagery against engineering standards at scale now exist. The cost is manageable. The gap between what was built and what was verified can finally be closed.