Measure reality with computer vision.
Some assets bury your enterprise in visual data. Others sit unseen for months. Unleash Live brings both into focus, turning scattered visual data into intelligence you can act on.
Utilities
Thousands of poles, lines, and substations, under constant regulatory watch. The answers are already in your visual data.
Encroachment, corrosion, faults, computer vision surfaces them while there's still time to act.
Inspection & Maintenance Efficiency
Inspection Cycle Time
0 DAYS•↓ 0%
Inspection Coverage Rate
0%•↑ 0%
Planned Maintenance Ratio
0:0•↑ 0%
From risk to resolution, in three stages.
01 Capture
Visual data is unified and trustworthy
Assets captured to the standard assessment demands: the right angle, the right height, thermal to high-resolution. A clearer picture across your portfolio, on your terms.
02 Analyze
Risks are found early
Computer vision reads every capture for the defects, anomalies, and risks that matter, on schedule or the moment they appear. Expert oversight keeps the models continually improving, so what you see you can trust.
03 Act
Detection becomes action, fast
A corrosion flag raises a work order. A compliance gap triggers an alert. A fault routes to the right team, across cloud and edge. Detection becomes action, in the moment it matters most.
trusted by leading operators
Measured in the field
$0B
Value of portfolio we monitor
0%
Reduction in manual inspection effort
0.0M
Images detected and analyzed
0%
Detected F1-score across deployed models
The workflow
Five stages, from plan to action.
Stage 01 / 05
Plan
Set asset registers, capture points, and schedules across every site you operate.
- Assets mapped before dispatch
- 100%Assets mapped before dispatch
- Average mission setup time
- 5 minAverage mission setup time
Stage 02 / 05
Capture
Each asset captured the same way every time, the same angle, height, and sequence, on schedule or in real time.
- Governed capture resolution
- 4KGoverned capture resolution
- Chain-of-custody coverage
- 0 gapsChain-of-custody coverage
Stage 03 / 05
Analyze
Purpose-built computer vision models detect faults, classify severity, and surface structured findings across the full dataset.
- Detected F1-score across deployed models
- 91%Detected F1-score across deployed models
- Reduction in manual inspection effort
- 70%Reduction in manual inspection effort
Stage 04 / 05
Review
Experts confirm, reclassify, and annotate findings in context, then escalate the ones that need action.
- Per finding, fully structured
- 1 recordPer finding, fully structured
- Critical faults surfaced for review
- < 24 hrsCritical faults surfaced for review
Stage 05 / 05
Act
Findings flow straight into SAP, Maximo and ArcGIS as work orders — a governed decision, not another report.
- Detection to work order
- 1 clickDetection to work order
- Audit trail on every action
- FullAudit trail on every action
FROM A SINGLE SITE TO AN ENTERPRISE-SCALE PROGRAM
