WaterOne provides an AI-powered platform that automates water budgeting and accounting for agricultural operations. It simplifies SGMA compliance by calculating permissible cropping patterns and tracks water usage through mobile meter readings, offering alerts for potential penalties and optimizing energy consumption.
Funding
Funding not disclosed
Founders
Product
Problem
Agricultural operations face complex challenges in managing water resources, particularly concerning compliance with regulatory frameworks like the Sustainable Groundwater Management Act (SGMA). Accurately calculating cropping limits and tracking water usage to avoid penalties and optimize resource allocation requires significant manual effort and specialized knowledge.
Solution
WaterOne offers an AI-powered platform designed to automate water budgeting and accounting for agricultural enterprises. The system simplifies SGMA compliance by automatically calculating permissible cropping patterns based on regulatory guidelines, eliminating the need for manual interpretation of complex rules. Users can input water usage data, including meter readings captured via mobile device photos, which the AI processes for accurate bookkeeping. The platform provides proactive alerts for potential penalties, facilitates water trading, and optimizes energy consumption by managing usage during off-peak hours.
Target Audience
The primary customers are agricultural growers and farm managers in California seeking to streamline water management, ensure regulatory compliance, and optimize resource utilization.
Features
- AI-driven SGMA compliance engine for automated calculation of cropping limits and water allocations.
- Mobile-based meter reading capture with image recognition for simplified data input.
- Proactive alert system for impending regulatory penalties and usage thresholds.
- Integrated water trading module to facilitate the buying and selling of water rights.
- Energy rate optimization functionality to manage water pumping schedules and reduce peak demand charges.
- Hydrological modeling and machine learning algorithms for accurate water usage forecasting.