Solutions

Same pipeline, specialised per sector.

Every vertical is the same architecture — inputs on the asset, the Agent deciding at the edge, the dashboard verifying in the cloud — tuned to a different problem.

The same platform also serves agriculture & biosecurity (green-on-green spot spraying).

Energy & utilities

Energy & utilities — find the fault before it becomes an outage.

ProblemGrids, pipelines, and renewables sprawl across vast, remote networks. Manual inspection is slow and periodic, so faults and encroachment go unseen until they cause fires, leaks, or outages.

We doOn inspection vehicles, poles, and drones, the Agent detects vegetation encroachment on powerlines, thermal anomalies on substations and transformers, methane leaks on pipelines, and blade or panel defects on wind and solar — in real time, on-device.

DeliversContinuous, automated inspection across the network — no images shipped off, no waiting for the next manual survey.

Why edgeAssets sit in remote terrain with poor connectivity and huge video volumes — detection has to run at the edge.

Cities & public safety

Cities & public safety — a living view of the public realm.

ProblemCouncils are responsible for sprawling road and asset networks plus public-safety obligations, kept current only by slow manual auditing that is perpetually out of date.

We doOn ordinary council vehicles, the Agent detects and geo-tags potholes, road signs, illegal dumping, graffiti, and footpath defects as crews drive — and at intersections flags traffic incidents and near-misses, with acoustic event detection where needed.

DeliversA 200 km road network audited in a handful of ordinary driving days.

Why edgeThe work happens on the vehicle, as it drives — no survey crews, nothing shipped off for later.

Mining & heavy industry

Mining — the cameras already on site, reading what nobody is watching.

ProblemA mine is already covered in cameras — pit, haul roads, conveyors, crusher and ROM bin, workshops, gates. Nearly all of it is recorded and nearly none of it is watched. The things that stop production or cost a shift — a torn belt, oversize on the grizzly, a missing bucket tooth, a blocked chute, a worker without PPE beside a moving forklift — are visible in a frame long before they appear in a report.

We doEdge AI runs on the cameras the mine already operates. On the conveyor: belt tears, spillage and idler hotspots. At the crusher and ROM bin: oversize, bridging, and steel or other large foreign objects on the belt. On the excavator face: missing ground-engaging tools. On haul roads: road condition, signage and berm defects. In workshops, warehouses and laydown yards: PPE compliance and pedestrian-versus-forklift proximity. Every detection is timestamped, located, and written to the evidence trail.

DeliversA vision detection becomes a work order rather than another screen to watch — findings land in the same operating picture as fleet, geotech and weather, with an audit-grade trail behind each one. See the PPE module running →

Why edgePits and drives are exactly where the network is not. Video stays on site; only findings sync when connectivity returns. Everything here is advisory and reporting — not an in-pit collision-avoidance control.

Emergency & public safety

Wildfire & bushfire detection — catch ignition before it spreads.

ProblemBy the time smoke is called in, a fire has grown. Camera towers, masts, and satellites produce more feeds than anyone can watch — and remote ignition sites have poor connectivity.

We doEdge AI on fixed cameras, towers, and drones watches for smoke and ignition in real time; the Agent verifies on-device (smoke vs cloud, dust, haze) to cut false alarms, then the Platform fuses weather, fuel, and terrain for spread risk.

DeliversAI camera networks detect ignitions at 95%+ accuracy — in some cases before the first 000 call (industry benchmark: Pano AI, ALERTCalifornia).

Why edgeRemote camera sites have poor connectivity and huge video volumes — detection runs on the device.

Emergency services

Firefighting — see through the smoke, decide in the moment.

ProblemThermal sees through smoke, but a raw feed is not a decision while a crew is moving and conditions are changing.

We doThe Agent turns an appliance-mounted thermal feed into operational intelligence on the device: heat, people, and the safe path — fast enough to matter in the moment, not after it.

Delivers>95% person-detection precision in heavy smoke (research benchmark).

Why edgeA fire ground has no reliable network — the decision can’t round-trip to the cloud.

Workplace safety

PPE & forklift safety — the near-miss that reaches the supervisor.

ProblemIn warehouses, distribution centres, workshops and mine-site surface areas, hard hats and hi-vis are mandatory, forklifts and people share the same floor, and compliance is checked by whoever happens to be looking. The moment that matters — a worker without PPE in the path of a moving forklift — lasts a few seconds, is rarely witnessed, and is almost never recorded.

We doOn the cameras a site already runs, the Agent tracks each person, reads hard hat and hi-vis, tracks the forklift and whether it is actually moving, and applies the site’s own written rules to decide what counts as critical. A critical event cuts a short clip and notifies the supervisor on its own. A warning alone notifies no one.

DeliversFrame to the supervisor’s inbox in about twelve seconds — verdict, plain-language brief, a still and a 15-second clip attached. See it running →

Why edgeNo continuous video stream leaves the site. Detection and the rules run on the asset; only events and a short clip sync up.

Critical infrastructure

Connectivity intelligence — agents at the node, deciding through comms loss.

ProblemMobile fleets run on bonded satellite + cellular links (Starlink, multi-carrier 5G, SD-WAN). It is mission-critical but fragile — obstructions, dead zones, antenna drift, SIM faults and outages take crews offline and lose data, with no warning.

We doECIA runs as agents at the node — vehicle-as-a-node — so each asset keeps deciding when the link drops. It predicts comms loss minutes ahead, diagnoses root cause in plain language, maps dead zones, and store-and-forwards through outages so nothing is lost.

DeliversForecasts connectivity loss minutes ahead and loses zero data through outages.

Why edgeWhen the link drops, the decision can’t — so the intelligence lives on the node, not the cloud.

Design partner program

Shape the platform for your operation.

We’re onboarding a small number of design partners across these seven operations — early access to the platform, direct input into the roadmap, and field trials on your own assets. Tell us what you operate and we’ll show you what the Agent can do with it.

Become a design partner View the products →