Dairy farms run on fragmented, disconnected software. agAI unifies the data and builds AI that actually understands the farm — private, domain-specific, and designed to make decisions, not just display charts.
Herd management, nutrition, lab diagnostics, genetics, milk records, weather, market prices — all on different software, different machines, with no reliable networking between them. Farmers and consultants piece it together manually.
DairyComp on one PC, EZFeed on another, DHI records from a third-party lab. No APIs between them. Consultants cross-reference in their heads.
The data exists to predict mastitis, optimize breeding, and forecast production. Nobody's built the system to do it — because nobody's unified the data first.
A desktop agent on each dairy PC watches for data exports, pushes them through a normalization engine, and lands them in a unified database. AI reads from one source of truth across every farm.
A breakdown of our products. Each covers a different stage of the pipeline above — except the brain itself, which is detailed in the next section.
Cloud diagnostics platform for dairy veterinary labs. The full path from sample pickup to results in the farmer's hands.
The everyday workspace for farms and consultants. Pen-level views, herd analytics, and AI decision tools in one place.
The pipeline that turns messy farm exports into a clean, unified database.
A quiet background app on every farm PC. No LAN, no IT department needed — each PC phones home on its own.
The assistant orchestrates everything underneath — language models, machine learning, and dairy-specific tools. Built and owned by agAI.
Run on our private models or your choice of third-party API. Your data stays on your terms — and we control the assistant, not just rent the model.
Language models can't predict which cows will get mastitis next week. Purpose-built models trained on real dairy data can. We build them.
A chart of last month's mastitis rate is retrospective. agAI flags developing problems before anyone sees them and adjusts plans automatically.
Natural language front-end to the platform. A farmer asks a question; the language model assembles context, calls the right prediction models, and explains the answer in plain English.
Purpose-built models for specific prediction tasks — neural networks where they help, simpler models where they don't. Trained on real dairy data, fine-tuned per farm over time.
Engineering team with deep dairy nutrition science background. Builds the data pipeline, AI engine, and product end-to-end.
Hands-on experience across California dairy operations — herd health, reproduction, and nutrition consulting at scale.