Maya is an AI‑driven, cloud‑based platform that consolidates sensor data, work logs, and input tracking for turf and land managers. It provides real‑time irrigation control, disease forecasting, nutrient scheduling, and automated compliance reporting, helping operators reduce water use, labor, and input costs while improving turf performance.
Funding
Funding not disclosed
Founders
Product
Problem
Land managers across golf courses, sports venues, green spaces, campuses, farms, and equestrian facilities struggle with fragmented data, manual record‑keeping, and limited visibility into water use, nutrient applications, and surface health, leading to higher operational costs, regulatory compliance challenges, and inconsistent turf performance.
Solution
Maya provides an AI‑driven, cloud‑based turf and land management platform that unifies sensor data, work logs, input tracking, and compliance reporting into a single dashboard. The system learns from site‑specific patterns to forecast disease pressure up to 48 hours ahead, optimize irrigation, and recommend nutrient and chemical applications. Integrated mobile tools let staff log tasks, incidents, and equipment usage in real time, while the platform automatically generates traceable reports for regulators and stakeholders. By connecting all modules—disease prediction, clipping yield, nutrient and irrigation management, fleet oversight, and inventory—the platform continuously improves its recommendations, helping managers do more with less water, labor, and inputs.
Target Audience
Primary customers are turf managers, greenkeepers, and facilities operators at golf courses, professional and amateur sports venues, municipal green spaces, campus estates, agricultural farms, and equestrian centres who need data‑driven decision support and regulatory compliance.
Features
- AI disease prediction using peer‑reviewed models, regional calibration, and site‑specific machine learning (forecast up to 72 hours ahead)
- Real‑time irrigation management with soil moisture, evapotranspiration, and weather integration to achieve average water savings of 30 %
- Zone‑by‑zone nutrient (NPK & micronutrient) tracking, nitrogen use efficiency monitoring, and automated fertiliser scheduling
- Clipping yield logging that correlates growth rates with inputs and weather for precise PGR timing
- Digital spray and chemical log with full traceability, inventory deduction, and compliance reporting
- Task scheduling and mobile‑first work order management with GPS‑tagged geo‑notes and offline capability
- Fleet and machinery tracking for usage, service schedules, fuel consumption, and cost per zone
- Multi‑site dashboard that aggregates data across parks, campuses, farms, or multiple venues for unified oversight