AI Labs: models trained for one job
Alongside AgriManage, we train models for a single, defined use case and ship them as a working solution: one problem, measured against your own data, delivered into the workflow where it is used.
What makes a good fit
- A task repeated often enough to be worth automating
- A clear input: photos, slips, readings or records
- A way to tell a right answer from a wrong one
- Data you own or can collect, with permission to use it
How an engagement runs
Define
Agree the task, the input, the output and how accuracy will be measured, before any training starts.
Collect
Gather and label a set of your own data that reflects the real work.
Train and test
Train the model, then test it on data it has never seen and report the result plainly.
Deploy
Put the model where the work happens: inside AgriManage, or in your own system.
Monitor
Watch accuracy in daily use and retrain when the data changes.
Problems of this size
These show the kind of problem we take on. They are examples, not past projects.
- Reading handwritten milk collection slips or weighbridge slips into records
- Flagging an animal whose milk yield has dropped against its own recent history
- Counting surviving saplings from field photographs
What we won’t promise
We don’t quote accuracy before we have seen your data, and we don’t sell a general-purpose assistant. If the data can’t support a model you can rely on, we say so at the define stage.
Tell us the one job you want a model to do.
Describe the task, the data you have and how you would judge a right answer. We reply within one working day.
Book a walkthroughOr write to us directly
- [email protected]