Redefining Quality through Intelligent Inspection
Why AIroraSense
AIroraSense exists to augment today’s manual field workflows and the back-office processes they drive—making them more verifiable, consistent, and defensible at scale.
We build AI-driven systems that augment manual workflows so utilities, co-ops, munis, and contractors can review quality faster, document outcomes more reliably, and maintain cost accountability—without disrupting established field operations.
Our approach
- Support configurable human oversight based on confidence thresholds
- Apply AI where scale and consistency matter most
- Preserve human judgment while improving coverage and documentation
- Design outputs for inspectors, managers, and executives alike
Our first product, AIS|Grid, applies this approach to post-work QA/QC inspections across electric utility distribution systems.
AIS|Grid
AIS|Grid is an AI-assisted inspection system that analyzes field imagery, references applicable construction standards, and produces structured inspection outputs—including evidence-linked findings and inspector-ready summaries. It expands inspection visibility and consistency while supporting existing QA/QC teams and established review workflows.
Inspector-ready summaries
Clear visibility into compliance and non-compliance across completed work.
High Confidence
Inspect more of your grid with certainty.
Built for field reality
Handles field imagery without the need for extra trips.
Future product
Additional workflow we intend to bring to market using the same customer-first approach.
AIS|Capture
AIS|Capture is a planned AI-assisted workflow that uses field-generated job cards, prints, and redlined prints alongside field imagery to help validate billing. It is designed to confirm billable units, surface potentially missed units for accurate invoicing, and flag units that may be improper for review—supporting consistent documentation for contractors, utilities, co-ops, and munis. The goal is improved local-level visibility into spend, stronger consistency, and better support for regulatory and audit needs.
Exploratory concept — not yet in development.