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).

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.

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road and asset networks plus public-safety obligations, kept current only by slow manual auditing that is perpetually out of date.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 — every system on site, one operating picture.

ProblemA mine runs on dozens of systems that don’t talk to each other — fleet management and dispatch, OEM machine telemetry, geotech and slope monitoring, weather, CCTV, comms. Each has its own screen; nobody owns the fused picture.

We doEdgegenix ingests the data every system already produces and fuses it into one live operating picture — then reasons across it: surfacing bottlenecks, anomalies, and emerging risks, and answering plain-language questions about the state of the site.

DeliversOne verified operating picture across fleet, ground, weather, and comms — with an audit-grade evidence trail behind every insight.

Why edgePits and drives are exactly where the network is not — ingestion and inference run at the edge, and everything syncs when connectivity returns.

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.

Design partner program

Shape the platform for your operation.

We’re onboarding a small number of design partners across these six 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 →