Feasibility & scoping
A focused two-week assessment of whether your data can support the outcome you want.
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Service 02
AI/ML Services
Twenty years of machine-learning work has taught us to separate durable methods from passing fashion. We focus on what the system improves, how it will be evaluated, and whether it belongs in production.
We start with the decision, not the model.
Every engagement opens with the same question: which decision gets better, by how much, and who has to trust it? If the honest answer is "a spreadsheet and a rule would do it," we'll say so — and explain the simpler path.
When a model is the answer, we build the whole path: data, evaluation, deployment, monitoring, and the interface that makes the output usable by someone who isn't a data scientist.
Model development
Forecasting, classification, computer vision, recommendation, optimization hybrids.
LLM systems, carefully
Retrieval, extraction, and agents where they earn their keep — with evals, not vibes.
Second opinions
Review of a vendor's proposal or an internal team's approach before you commit budget.
In practice
YouFarm turns soil chemistry, field geometry, and a grower's own agronomy rules into variable-rate prescriptions — the whole chain, in production, every season.
See the case study →