Two ideas come together here. The first is “living the field”: the belief that you have to be in the field yourself to gather the information that tells you what’s really going on. The second is what I call “freedom per acre,” giving farmers more autonomy.
“Living the field” is how we believe agricultural technology should work: present where decisions matter, observing real conditions, and turning what it sees directly into action in real time. The cycle is observe, decide, act, and learn, and we call that closed cycle “physical AI.” Unlike software that merely analyzes information on a dashboard, physical AI becomes an active, permanent part of the farm’s infrastructure. Much of today’s agricultural technology gathers information but takes a long time to act on it. The value lies in making the cycle work reliably, because timing, context, and weather matter enormously in agriculture, and the only way to really grasp them is to stay in the field.
When you’re in the middle of a problem, you can usually solve it faster than someone watching from the outside. Living the field means seeing and understanding what happens as it happens: from the moment plants emerge, through gathering the data, to applying the right treatment at the right time and following the results.
Ultimately, that’s what gives farmers freedom. Right now, they can’t keep juggling two separate worlds: machines on one side, inputs and seeds on the other. Solinftec’s proposal is to sit between the two, reducing farmers’ dependence on machines and their use of herbicides and other chemicals. With labor shortages, chemical reduction mandates, and yield demands all growing, agriculture needs to move away from reactive machine interventions and toward physical AI that functions as permanent farm infrastructure. That’s where our robot, Solix, comes in. It lives in that space between the two and gives farmers more freedom: they no longer need to be in the field all the time, because the technology does that job for them. And Solix’s commercial availability has just expanded.