DetectOS

AI asset inspection software for electric utilities

Critical defects shouldn’t be discovered during outages. DetectOS turns any visual data into risk-ranked, expert-verified condition intelligence.

Every finding lands on the structure's own record - history that compounds with every inspection.

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Utility asset management, built on one record per structure

DetectOS is the AI asset inspection platform for U.S. and Canadian electric utilities. It builds one record per structure - every inspection, photo, defect, and repair it has ever had - with a data-confidence figure beside every health score, findings reviewed and signed off by inspection experts, and feeds built for distribution-scale networks.

History that compounds

Every inspection, photo, defect, and repair lives on the structure itself - one record, not job files that scatter.

Verification by default

AI does the first pass; inspection experts sign off on every finding before it reaches your team. Nothing is auto-approved.

Built for distribution scale

Server-side feeds keep hundreds of thousands of structures workable - tested against synthetic networks of 700,000 structures.

The DetectOS Difference

Even the best inspection programs leave blind spots.

01

Data is scattered across too many systems. Photos, GPS points, and reports often live in different places, making it hard to see the full picture or move quickly on what matters.

02

Compliance records are difficult to maintain. Tracking inspection history and evidence across teams and formats makes audits slower and more stressful than they need to be.

03

Defects take too long to surface. By the time reports are reviewed, critical issues may already be affecting reliability and safety.

From any camera to critical intelligence in three steps
01    Upload from any source
Drone footage, truck-mounted cameras, smartphone photos, whatever. DetectOS processes any visual data with no special equipment or training required.
02  Automated analysis with quality controls
DetectOS automatically maps photos to correct structures, validates image quality, and identifies potential defects. Plus: any poor quality images are flagged for re-capture while crews are still mobile.
03  Validation and reporting from experts
Certified specialists manually review every detection. You can be confident in every work order generated with severity scoring and annotated imagery.
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How does AI asset inspection work in DetectOS?

In four checks: every image is matched to the right structure automatically, quality-validated while crews are still in the field, screened by AI for defects, and signed off by inspection experts - so findings arrive risk-ranked and trustworthy.

Automated photo-to-structure association

Our AI maps every image to the correct asset using visual recognition and spatial analysis - even when GPS coordinates are wrong.

Field-time quality validation

Images get automatically checked for focus, angle coverage, and component visibility before analysis begins. Quality issues flagged while crews can still capture additional shots.

Expert-verified defect detection

Every finding is manually confirmed by certified subject matter experts - across 258 defect types in 19 classes. AI only speeds the process up.

Risk-ranked, expert-verified intelligence

The highest-risk conditions surface first, verified before they reach you. Complete analysis delivered in days, not weeks. Critical findings flagged while crews can still act.

INSIDE DETECTOS

The record, the score, and the sign-off

The DetectOS asset record for one structure - condition, health score, data-confidence figure, open defects, and last capture date

One structure, one record. Condition, health, data confidence, open defects, and every capture date - on the asset itself, not in a job file.

A structure health score with its data-confidence figure in DetectOS

A score never stands alone. Every health score carries a data-confidence figure - grey means unknown, never green by default.

The DetectOS review workspace - findings on the image, signed off by people

Signed off, on the image. Inspection experts confirm every finding in the review workspace - nothing is auto-approved.

How should a utility evaluate an AI asset inspection platform?

Seven questions that separate a working program from a pilot that stalls - vendor-neutral, worth asking of anyone.

Who verifies the AI's findings, and to what standard?

Unverified detections shift risk to your engineers. Look for named review workflows and sign-off.

Does history live on the asset or in job files?

Job-file platforms scatter a structure's record. Asset-level records compound value every cycle.

Is there a confidence measure beside every score?

A health number without data freshness behind it invites bad decisions. Grey should mean unknown.

Does it hold up at distribution scale?

Hundreds of thousands of structures break browser-side platforms. Ask how feeds are served.

Can any capture source feed it?

Drone, helicopter, and ground imagery should land in one record - not three tools.

What keeps capture consistent across crews?

Per-asset shot standards make cycle-over-cycle comparison possible at all.

Is expert verification the default, or an optional add-on?

Optional review means unverified detections reach your engineers on busy weeks. Default verification means every finding arrives signed off.

Bring these questions to any vendor - including us. Read the full evaluation guide

Built for the people who run the grid

Asset engineers

Structure-level detail with component tagging - and the full history to time interventions.

Operations & maintenance

Risk-ranked queues decide what crews work first, not a flat backlog.

Field teams

Image quality validated while crews are still on site - no re-mobilizing for bad captures.

Leadership & compliance

Audit-ready records and documented ROI for regulators, boards, and budget reviews.

Built for utility IT and security review

  • SOC 2 Type II certified.
  • Sign-in is Google, Microsoft Entra ID, or email and password - all invite-only. SSO never creates an account on its own.
  • Permissions resolve on the server: per-network membership decides reach; a role - viewer, operations, analyst, admin - decides capability. Nothing is on by default.
  • Privacy blurring for faces and license plates is applied during ingestion.

Sources in, decisions out

DroneHelicopterGround crewsDetectOSRisk-ranked findingsCSV export, your columns

Any capture source in: drone, helicopter, or ground imagery - one pipeline, one record per structure. Decisions out: risk-ranked, expert-verified findings in DetectOS, and a defect report that exports CSV with the columns your team picks.

Executive approval in 10 minutes

One utility had spent a decade trying to secure capital funding for aging H-frame structures. DetectOS documented the deterioration - 96 structures, 100% coverage, one field day - in visual evidence executives could see for themselves.

The rebuild was approved in under 10 minutes - the evidence made the decision an afterthought.

Start with your own lines

Free analysis on a segment you pick - see your structures ranked, verified, and confidence-scored - then scale to a program when the record earns it. Pilots fly free through the Data Quality Program.

Book a free analysis

Questions utilities ask about AI asset inspection

What is AI asset inspection software?

Software that turns inspection imagery - from drones, helicopters, or ground crews - into structured findings on your assets: defects identified, ranked by risk, and tracked on each structure's record over time.

How is DetectOS different from other visual inspection platforms?

Two things: the record and the review. DetectOS keeps one record per structure that compounds every inspection, and every AI finding is reviewed and signed off by inspection experts before it reaches your team.

Who verifies the findings?

Inspection experts working to a published quality program. Nothing is auto-approved, and no finding you have signed off on is ever re-scored.

What imagery sources does DetectOS accept?

Any pilot, any capture source - drone, helicopter, or ground. Imagery lands in one pipeline with per-image processing visibility.

How do we start?

With your own lines: we run a free analysis on a segment you pick, and you see your structures ranked, verified, and confidence-scored. No commitment.

We're an existing DetectOS customer - what changes for us?

Your history comes with you. Migration is scheduled per customer and run hands-on by Detect - completed inspections come across with your signed-off findings unchanged, and the platform you know keeps working while it happens.