Leak Sight AI Capabilities

Visual detection needs more than a camera feed.

Leak Sight AI combines supported imagery, event history, facility context, operator review, and an edge deployment path for exposed water and steam systems.

RGBThermalSignals
Leak Sight AIDetect · Track · Verify

Calibrated to a facility and monitored zone

Operator reviewEvidence recordMaintenance export

Product Scope

Nine capabilities support one reviewable decision.

The capability set stays centered on exposed utility assets. It does not imply complete coverage of every fluid, gas, environment, or failure mode.

RGB & thermal analysis

Review visible changes and heat patterns around exposed pipes, joints, valves, and pumps.

Temporal event tracking

Follow how a suspected leak persists, spreads, or clears instead of judging one image in isolation.

Sensor fusion

Compare video evidence with optional pressure, flow, acoustic, weather, and asset signals.

Facility calibration

Tune monitored zones and thresholds to the site’s equipment, camera angles, and operating patterns.

Explainable evidence

Give operators the event clip, region of interest, signal changes, confidence, and progression.

Edge inference

Process supported camera streams on site, including facilities with limited connectivity.

Operator feedback

Let teams confirm, dismiss, and annotate incidents so calibration reflects real operating conditions.

Maintenance export

Send confirmed incidents and their evidence into an approved work-order process.

Local video processing

Keep sensitive video on site and synchronize event metadata or clips only when policy allows.

Flooded legacy pipe room with large exposed water-treatment pipes and valvesObservable Consequence

Visible change is useful when it is tied to the right context.

Pooling, dripping, plume formation, and surface change can support an investigation. They still require temporal review and facility-specific calibration.

Photo: Trougnouf · CC BY 4.0

Supported Use Cases

Start where exposed utility loops are observable.

Candidate sites have known high-risk assets, supported camera positions, and operators who can review events against real maintenance outcomes.

Water-treatment plants

Pumps, valves & exposed process water lines

District cooling

Chilled-water loops & mechanical rooms

Food & beverage

Water, steam & washdown-adjacent equipment

Pharmaceutical plants

Visible utility lines in controlled areas

Data centers

Cooling distribution & plant rooms

Industrial campuses

Distributed above-ground water & steam assets

Product Boundaries

Useful scope is explicit scope.

Visual evidence can strengthen a decision only when the event is observable and the site conditions are understood. Other leak classes require other sensing methods.

Supported scope

Visible water and steam leaks around exposed pipes, valves, joints, and pumps.

Requires other sensing

Deeply buried assets, invisible gases, and events with no useful visual signature.

Operator-controlled action

Leak Sight AI recommends and records a response; facility teams approve critical action.

Pilot Qualification

Match the capability set to a real inspection problem.

Share the assets, camera constraints, operating context, and evidence your team needs before it opens a maintenance order.

Request a Pilot