What it sells
AI greenhouse monitoring / crop sensing.
Business model breakdown
Buyer: who owns the budget?
UnverifiedHead grower or operations manager at commercial greenhouses and farms; cooperatives also deploy it for growers.
Trigger: what makes them buy now?
Inaccurate yield forecasts, undetected pests/disease and late climate control reduce yield; claims up to 30% avoidable yield loss.
Workflow: what inputs become what output?
Install solar camera Insight Stations, sensors and LTE-M gateways; AI forecasts harvest, detects pests/disease early and monitors environment, replacing manual row scouting and estimation.
Economics: what it saves and how it charges
Hardware packages plus software modules (yield forecasting, disease detection, sensing); case study claims 85-90% forecast accuracy and 3.9x ROI in first full season; says it is measured on grower results.
Distribution: how it reaches customers
Quote-led sales ("Request a Quote"); cooperative rollouts (Dutch ZON growers); 26 countries served.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2026-10-06 | — | €4.8M | — | news.google.com |
| 2026-10-06 | Seed | €4.8M | — | 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 2026-10-17.