Illegal logging
Acoustic sensors recognise the sound signature of chainsaws and power saws, so cutting is flagged while it is happening — not discovered from a satellite image weeks later.
AI-managed sensor networks for land, wildlife and agriculture
Nature that reports its own emergencies — and its needs.
Forest, farmland and habitat, wired with solar-powered LoRa sensors and watched by AI. A chainsaw starting, a fire catching, a field drying out — each becomes an alert within seconds, while it still changes the outcome. Nothing waits for a patrol, a satellite pass, or the damage to be found later.
Formerly Forest Guard · Pilot completed over 1 km² of Stepanavan forest, Armenia
What it catches
Every alert traces back to a physical signal on the ground — a sound, a heat rise, a movement, a moisture trend — rather than an inference drawn from far away.
Unauthorised transport
Sound and motion sensors pick up vehicle and hauling activity on tracks where none should be, catching the removal stage even when the felling was missed.
Wildfire ignition
Infrared and temperature sensors watch for heat rising above the local baseline, raising an alarm in the first minutes of a fire rather than after it has a front.
Land and crop conditions
Humidity and temperature trends show where ground is drying out, where frost is a risk tonight, and where fire load is building — the difference between reacting to a season and planning one.
How it works
- 1
Sensors detect
Solar-powered nodes monitor sound, heat, infrared, temperature, humidity and motion. Each deployment is configured from that set for its terrain and risks.
- 2
LoRa carries the signal
Long-range, low-power radio reaches back from deep cover with no cellular coverage and no mains power anywhere near the node.
- 3
The gateway bridges to IP
A gateway converts LoRa traffic to Ethernet, putting live readings from the whole network onto one monitoring platform.
- 4
AI reads it, people decide
AI learns each site's normal — its sounds, its temperatures, its moisture cycle — so it can separate a real event from weather and routine activity. It escalates what matters; human monitors decide what happens next.
One platform, configured per site
A fire-risk deployment in dry pine, an anti-logging watch on a valuable hardwood boundary, and an irrigation network across orchard rows need different sensors. The network underneath is the same.
SensorDetects
AcousticSaw noise, engine noise, human activity
InfraredFlame and hotspot signatures
HeatAbnormal heat rise against baseline
TemperatureAmbient trend, frost risk, fire conditions
HumiditySoil and air dryness — irrigation need, and fire load
MotionMovement of people, vehicles and machinery
What it costs you to run
9
nodes per km²
Nine nodes per square kilometre — 23 per square mile — on 333 m spacing, each detecting within a 150 m radius. Fewer nodes keeps hardware cost and installation effort predictable as a deployment scales.
150 m – 1 km
range per node
Each node covers a minimum radius of 150 metres in difficult terrain, extending to a full kilometre across flat ground — which is what sets how many nodes a given site needs.
Solar
no battery swaps
Nodes power themselves from sunlight and recharge indefinitely, so there is no replacement cycle to schedule — removing the service visits that dominate the lifetime cost of any remote sensing deployment.
Real time
not retrospective
Detection to alert is a matter of seconds over LoRa, so a response can be mounted while intervention still changes the outcome.
Measured against the 2030 goals
The UN Sustainable Development Goals carry a 2030 deadline. Keeping land standing, catching fires early and using water well contribute directly to three of them.
- SDG 7
Affordable and Clean Energy
Solar-powered nodes and a low-power radio keep the network near-zero-draw.
- SDG 13
Climate Action
Early fire detection prevents the carbon release of a full-scale burn.
- SDG 15
Life on Land
Standing forest and its habitat are protected from illegal clearance.
Have land that needs watching?
Forest, farm, orchard or reserve — tell us the area, the terrain, and what you need to know sooner. We will come back with a sensor layout and what it takes to deploy.