What it sells
Automates yield forecasting and pollination with 'physical AI agents'.
Business model breakdown
Buyer: who owns the budget?
UnverifiedGreenhouse and produce farm operators / growers (operations or farm managers).
Trigger: what makes them buy now?
Yield uncertainty and labour-intensive pollination; need forecasts 7-10 days ahead to lock contracts and plan logistics.
Workflow: what inputs become what output?
Drones scan and pollinate rows; 3D vision pipeline produces yield and harvest-readiness forecasts 7-10 days ahead into one dashboard used to plan logistics and contracts.
Economics: what it saves and how it charges
Outcome-based: one fixed fee per hectare per crop cycle covering equipment, software, setup, maintenance; claims 3-5x ROI in same crop cycle, +15% yield, >90% forecast accuracy, 30-50 hrs saved per cycle.
Distribution: how it reaches customers
Demo-led direct sales plus channel partnership via Bayer's distribution and agronomy network; DJI-type drone ecosystem partner.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2026-02-09 | — | $4.3M | — | news.google.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.