Maya is an AI-powered turf management platform that helps golf courses, stadiums, parks, and campuses optimize water usage, predict disease outbreaks, and streamline maintenance operations. The platform connects disease forecasting, irrigation monitoring, nutrient tracking, and chemical compliance into a single system, delivering an average of 30% water savings across 150+ active sites in 15+ countries.
Funding
Funding not disclosed
Founders
Product
Problem
Turf and land management teams at golf courses, sports stadiums, parks, and campuses struggle to coordinate disparate data sources—weather, soil moisture, chemical applications, and maintenance schedules—leading to inefficient resource use, preventable disease outbreaks, and compliance risks. Manual record-keeping and disconnected tools make it difficult to make timely, data-informed decisions that balance turf quality with operational costs.
Solution
Maya provides an AI-powered turf management platform that unifies disease prediction, growth tracking, irrigation control, nutrient management, chemical compliance, task scheduling, and fleet oversight into one connected system. The platform's AI learns from each facility's unique patterns and delivers actionable recommendations that integrate naturally into daily workflows, from seasonal scheduling to urgent maintenance responses. By connecting data across modules—such as linking spray logs to disease history and inventory—Maya builds a complete digital record of every decision and outcome, enabling increasingly accurate predictions and site-specific recommendations over time. The platform transforms complex sensor and field data into clear visual insights, helping managers act with confidence and precision.
Target Audience
Primary customers are turf and grounds management teams at golf courses, professional and amateur sports facilities, parks, and large campuses, including greenkeepers, course superintendents, and facility operations managers.
Features
- AI disease prediction models forecast disease pressure up to 48 hours ahead using peer-reviewed scientific models, regional calibration, and site-specific machine learning
- Irrigation management monitors soil moisture, evapotranspiration, and weather forecasts to manage water balance zone-by-zone, achieving an average 30% water savings
- Clipping yield tracking logs mowing volumes, correlates growth rates with nutrient inputs and weather, and optimizes PGR timing
- Spray and chemical tracking provides full traceability, automated inventory deduction, and compliance report generation
- Soil analysis and reporting imports lab results, builds custom dashboards with a graph builder, and tracks all soil parameters across facility history
- Fleet and machinery management tracks equipment usage, servicing schedules, fuel consumption, and includes pre-start safety checklists