
Styrfarms
Styrfarms provides real-time growing cost tracking for vegetable farms in the Salinas Valley, capturing every expense at the block level on the day it occurs. The platform uses AI to read handwritten field logs, eliminating manual data entry, and automatically attributes costs to specific blocks while flagging overruns against phase-weighted pace benchmarks. It also forecasts monthly-billed costs from a farm's own invoice history to keep season totals current.
- Agriculture Technology
- Artificial Intelligence
- Software Only
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Vegetable farms in the Salinas Valley face significant cost visibility gaps: fuel, parts, and chemical invoices arrive in bulk—often monthly, in one line, long after the work happened. Tractors and crews move across multiple ranches in a single day with no clean way to attribute shared time and equipment costs to the crop that actually incurred them, and growers only discover true cost overruns at year-end when it's too late to act.
Solution
Styr delivers real-time growing cost tracking for vegetable farms by capturing every expense at the block level on the day it occurs—from handwritten field logs to invoices that previously surfaced months later. The platform uses AI to read the paper field logs that crews already fill out, eliminating the need for anyone to re-type data. It automatically attributes tractor, irrigation, fertilizer, and chemical costs to specific blocks; it then compares each block's actual dollars per acre against a phase-weighted pace benchmark, alerting growers immediately when an overage occurs, along with its cause and the responsible person. Styr also forecasts monthly-billed costs from a farm's own invoice history and continuously learns fuel, labor, and pump rates, so the season number is current rather than a month behind and true-ups are minimal.
Target Audience
Primary users are vegetable growers and farm managers in the Salinas Valley who need real-time visibility into block-level production costs for operational control and buyer contract pricing.
Features
- AI-powered handwriting recognition that reads date, equipment number, gallons, and names from existing paper field logs, timecards, planting and harvest tickets, and vendor bills with no manual re-entry
- Block-level cost attribution for tractor, irrigation, fertilizer, and chemical expenses across multiple ranches and crews
- Phase-weighted pace benchmarks that flag cost overruns in real time, with the cause and responsible person attached
- Invoice forecasting that estimates monthly-billed costs from a farm's own history, keeping season totals current instead of lagging a month
- Self-learning rate engine that pulls fuel, labor, and pump prices from past invoices to improve estimate accuracy over time
- Integrations that read from and export to existing systems including Excel, Famous, and custom tools, plus input via email, texted images, and voice memos
- Review-and-approve workflow that lets teams confirm or adjust anything Styr captures before it becomes a record, with the system sharpening from every edit
- Product Use Reports (PUR) capture with products, rates, acres, applicators, and dates from each report