Anjan Robotics brings physical AI to agriculture — autonomous robots that learn manipulation from the people who have done the job for generations, then improve every shift. One platform. Many crops. Trained on the farm, by the farm.
Agriculture is running out of hands. The fields, the polytunnels, the trays of fruit that have to come off the plant at exactly the right hour — there are no longer the people to do it. Crops are left to rot. Farms close.
We do not believe the answer is a robot that has to be reprogrammed every time the crop, the weather, or the farm changes. That is just expensive labour with cables.
The answer is physical AI: machines that learn manipulation from people, in the actual field, and get better every day. One robot. Many crops. Self-learning, self-improving — trained by your own workers, on your own farm.
We are very nearly there. Field trials are starting. This is the moment to come and be part of what happens next.
Each layer unlocks more of what the farm needs — and more of what makes the business defensible. Together, they make a category of equipment that did not exist a year ago.
A weatherproof autonomous rover, robotic arm, edge-AI 3D vision and safety sensors. A self-contained machine that can work a row of soft fruit through rain, sun and dust without coming home.
Autonomous · All-weather · Edge-AISynchronised multi-arm coordination and integrated night lighting. The same robot, more arms, more hours — picking when the ripeness window says now, not when the labour says possible.
Multi-arm · 24/7 · CoordinatedA motion-capture glove lets your workers teach the robot. It learns from real picking — yours — and improves every shift. Self-learning, self-improving, with per-pick traceability along for the ride.
Imitation learning · Self-improving · TraceableNo bespoke programming per crop. No army of robotics PhDs at every farm. The robot watches, learns, picks — and gets better as it goes.
A picker wears a motion-capture glove. They pick the way they always pick. Every gesture, every approach, every chosen fruit — the robot is watching, recording, learning.
The robot starts picking. When it is sure, it acts. When it is not, it pauses and asks for help — and every correction is added back to its own training data. It is honest about what it does not yet know.
Picks autonomously, full rows at a time. One supervisor can watch a fleet from anywhere. Every pick is tracked, weighed, graded, traced back to the plant it came from.
Charges itself, plans its own routes, picks day and night when ripeness demands it. A farm technician starts and stops shifts. The robot brings the harvest in.
A confluence of forces — labour collapse, retailer pressure, breakthroughs in embodied AI, falling robotics costs — has turned what was speculation eighteen months ago into a market that will be defined inside the next four years. By a small number of companies. We intend to be one.
Reported share of soft fruit left unharvested in poor-labour seasons. Revenue, literally, on the ground.
Share of fresh-produce production cost that is picking labour. The single largest line on a grower's P&L.
Forecast CAGR over 20% for the global agricultural robotics market through the early 2030s. The window is short.
The size of business we are building, and the speed at which we intend to build it. We are not raising money to potter.
Investors, engineers, growers and suppliers — the people who arrive now help define a new category of agricultural machine.
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