DetectOS is AI-powered utility asset inspection software for electric utilities, powerline contractors, and drone service providers - built for transmission and distribution inspection programs.
Most inspection programs don't have a capture problem. They have a data problem - thousands of images, weeks of manual review, and findings that arrive too late to act on. DetectOS starts where the drone lands.
Upload imagery from drone inspections, helicopter patrols, or ground crews. The AI screens every image against a defect catalog of 258 defect types across 19 component classes and flags what it finds - a loose nut, a split cross-arm, a missing cotter key - with a confidence score and a plain-language explanation of what fails if it isn't fixed. Then Detect's utility inspection experts review every flagged finding before it reaches your team. AI screens the volume. Experts confirm what matters. That hybrid model is how you get a findings list you can hand to engineering without a second QA pass.
Inside the platform, every structure carries its own record: type, age and remaining lifespan, inspection history, a health score, and a risk rank across your fleet. The inspection map shows every structure in your networks with defect pins color-coded by severity, so crews start where the risk is highest - not with the first folder in the queue. And bidirectional health tracking sets defects found against defects fixed, by severity, in dollars or counts, so you can show leadership and regulators whether the maintenance backlog is actually shrinking.
What leaves the platform is not a pile of raw detections. It's a risk-ranked list of confirmed asset condition findings, mapped to the right structure, with the evidence attached - ready for work orders, regulatory filings, rebuild justifications, and your utility asset management workflow.
Results from the field:
On a 250-mile HVDC intertie, DetectOS flagged a single missing cotter key on a clevis bolt during the line's first operating season. The crew cleared it in 120 minutes. The averted forced outage protected over $1M in transmission revenue.
On a 345kV construction quality program, DetectOS surfaced 67 critical findings out of 45,335 total across 927 structures - and showed that 76% of the critical findings clustered in a single segment.
On a wooden H-frame audit, a 3-person crew covered 96 structures in one field day and documented 55 high-risk conditions - the evidence that funded the line rebuild.
DetectOS is SOC 2 Type II compliant. No data science team required.
One platform, three sections: Capture (data quality at the source), Analysis (AI defect classification with expert review), and Intelligence (risk-based prioritization and reporting).
