Solutions — Inspection & Maintenance Efficiency
Your inspection program costs more than it should. And it still misses things.
Inspection and monitoring across industrial infrastructure is one of the largest controllable OPEX line items for asset-intensive operators. It is also one of the least governed. Contractor-dependent programs are priced per cycle, not per outcome. Manual walkdowns are slow, inconsistent, and produce records that require additional labor to turn into usable data. Helicopter campaigns are expensive, infrequent, and generate image sets that sit in contractor systems rather than yours.
Unleash Live replaces the contractor-dependent inspection model with a governed, operator-owned platform. Lower cost per inspection. Higher coverage. Better data. Under one commercial relationship.
The metrics this moves
| KPI | What changes | How |
|---|---|---|
| Cost per Inspection | Reduced | Autonomous mission execution replaces high-cost contractor campaigns |
| Inspection Coverage Rate | Increased | Automated programs cover more assets per cycle without additional field crews |
| Defect Detection Rate | Increased | AI model library finds more faults per inspection run than manual review |
| Contractor Spend | Reduced | Operator-owned platform replaces recurring outsourced inspection contracts |
| Planned vs. Unplanned Maintenance Ratio | Improved | Earlier, more consistent defect detection shifts the maintenance mix toward planned |
| Work Order Backlog | Reduced | Faster fault-to-work-order cycle time clears the detection gap |
| Labor Cost per Site | Reduced | Fixed-camera monitoring removes headcount requirement for routine patrol and walkdown |
Where the cost lives in your current program
Contractor dependency
Most industrial inspection programs are built around external providers — drone operators, helicopter contractors, inspection firms. Each cycle requires mobilization, briefing, and QA. Data stays in contractor systems. Records require manual extraction. The cost is recurring and largely fixed regardless of coverage outcome. Orb replaces the contractor execution layer with operator-owned autonomous missions. Autofly executes repeatable, standardized inspection runs without external mobilization. The operator owns the data, the mission parameters, and the model lifecycle.
High cost-per-asset inspection methods
Helicopter inspection of T&D networks, manual walkdowns of conveyor systems, and periodic site audits of process facilities are the most expensive ways to gather condition data. They are also the least frequent, which means the data ages quickly. Orb's autonomous aerial inspection runs at a fraction of the cost per kilometer of helicopter-based programs. Deployed utilities operators have extended inspection coverage by 25–40% without increasing field crew headcount. Inspection cycle time has reduced 40–60% against manual methods across comparable asset portfolios.
Manual monitoring requiring headcount
Security patrols, conveyor walkdowns, substation check rounds, and perimeter monitoring are labor-intensive and produce inconsistent records. Prism replaces recurring manual monitoring with continuous fixed-camera coverage. The same detection capability that previously required patrol staff now runs 24/7 from cameras already on site, with AI models doing the observation and alert generation.
Disconnected data that costs time to process
Inspection programs that produce raw image sets, contractor-formatted reports, or manual spreadsheet records require significant labor to convert into usable operational data. Every hour spent processing inspection outputs is an OPEX cost that doesn't appear on the inspection program budget but is real. Cloud Insights structures every inspection output automatically — condition scores, fault classifications, risk prioritization, and compliance records are a platform output, not a post-processing task.
How it works
Replace contractor campaigns with operator-owned autonomous inspection (Orb)
Autofly mission templates standardize inspection across sites, asset types, and inspection cycles. Operators define the program once — flight paths, capture parameters, asset coverage requirements — and execute repeatably without external mobilization. Smart Inspect optimizes coverage per asset type. Smart Corridor handles linear infrastructure at scale.
Replace manual monitoring with continuous fixed-camera coverage (Prism)
Prism deploys trained AI detection models against fixed-camera feeds from conveyors, substations, process plant, perimeters, and operational zones. Monitoring runs continuously without additional headcount. Alerts include visual evidence. Outputs route directly into operational and maintenance systems.
Govern the data, not just the capture
Media Drive stores every capture with full chain of custody, timestamped and geolocated. Cloud Insights converts inspection outputs into structured records, compliance documentation, and risk-prioritized maintenance inputs — automatically. The cost of data processing is removed from the program.
Proven in deployment
| Outcome | Result | Context |
|---|---|---|
| Inspection program expansion | 25–40% coverage increase | Without additional field crew headcount, deployed utilities operators |
| Inspection cycle time | 40–60% reduction | vs. manual inspection methods across comparable network assets |
| Truck rolls | 10–15% reduction | Fewer repeat site visits from more consistent, higher-quality capture |
| Defect identification rate | 300% increase in year one | vs. helicopter-based inspection — more faults found per program cycle |
| AI detection performance | 91% F1-Score | Precision and recall reducing false positive review cost at scale |
Who this is for
CFO / Finance Director
Accountable for OPEX as % of revenue and contractor spend. This is the conversation about converting a recurring, variable contractor cost into a governed, predictable platform cost with better coverage and better data as outputs.
COO / VP Operations
Accountable for operational efficiency and cost per site. This is the conversation about removing headcount dependency from routine inspection and monitoring without reducing coverage.
Asset Manager
Accountable for maintenance cost as % of ARV and work order backlog. This is the conversation about getting more and better condition data into the maintenance system at lower cost per data point.
Head of HSE
Accountable for reducing personnel exposure in hazardous zones. Removing field crews from routine inspection in live operational environments is an HSE outcome as well as a cost outcome.
The structural difference
Cyberhawk and Zeitview will reduce your inspection cost — within their engagement. When the campaign ends, the data is theirs, the model is theirs, and the next cycle requires the same mobilization cost. Unleash Live's commercial model is an enterprise deployment: the operator owns the platform, the data, and the model lifecycle. The cost curve improves over time as mission templates mature and detection models improve on your asset portfolio. The efficiency gain compounds. The contractor model does not.
Request an Inspection Program Cost Analysis
Map your current program cost structure against what a governed Unleash Live deployment produces at equivalent or greater coverage.
