Watching the whole farm without watching it every hour.
Farms are large, remote and hard to patrol. We build monitoring that notices what matters, such as intrusion, animals and changes in conditions, and reaches you even where power and network coverage are weak.
The problem on the ground.
We start with what goes wrong today, not with the technology.
Coverage is expensive
Guards and manual rounds do not scale across large or remote plots.
Alerts arrive too late or too often
Basic motion alarms trigger on shadows and wind, so people stop listening.
Power and signal are not guaranteed
Systems designed for the cloud and the grid go quiet when either one drops.
What we design around.
— Solar-compatible, power-aware operation.
— Edge inference so detection does not depend on the network.
— Mesh links so remote nodes can reach a gateway.
— Weather, dust and heat treated as design inputs.
Relevant systems and projects.
Each one carries its real status, so you know what is built, trialled or still an idea.
AI farm surveillance
Cameras, edge threat identification, mesh communications and alerts. Field trials: 98% on the defined threat-identification test set.
Explore ↗EXPLOREDAutomated hydroponics
Sensing and control for controlled growing environments.
Explore ↗EXPLOREDLivestock tracking
GPS location and geofencing for animals, built on the IoT stack.
Explore ↗How we work in this sector.
Understand the operation
We visit, observe and listen before we specify anything.
Prototype against reality
Early builds go into the real environment, with its heat, dust, power and people.
Measure and report
Results are documented, including what did not work.
Prepare for use
Documentation, serviceability and a clear statement of what production would need.