Prescinto utilizes artificial intelligence and machine learning algorithms to analyze performance data from solar and wind energy plants, identifying causes of underperformance and recommending actionable interventions that can enhance energy generation by 5-7%. The platform has been deployed across 16 GW of renewable assets in 14 countries, enabling clients to optimize their operations and improve return on investment through data-driven insights.
Funding
Funding not disclosed
Founders
Product
Problem
Renewable energy plants, including solar, wind, and energy storage, often suffer from underperformance due to undetected issues, leading to reduced energy generation and lower returns on investment. Identifying the root causes of these inefficiencies requires extensive data analysis and specialized expertise, which can be challenging for asset owners and operators.
Solution
Prescinto offers an AI-powered SaaS platform that analyzes performance data from renewable energy assets to identify the causes of underperformance and recommend actionable interventions. The platform uses machine learning algorithms to provide data-backed insights, enabling users to improve energy generation by up to 7%. By centralizing asset monitoring, automating workflows, and providing advanced trend analysis, Prescinto helps bridge the gap between expected and actual energy output, driving greater reliability and profitability for renewable energy operators.
Target Audience
Prescinto targets Independent Power Producers (IPPs), Operations & Maintenance (O&M) providers, Original Equipment Manufacturers (OEMs), financial investors, and NOC (Network Operations Center) teams in the renewable energy sector.
Features
- AI-powered analytics for identifying underperformance and associated energy losses
- Real-time data access and device-level granularity for comprehensive monitoring
- Advanced trend analysis and data-backed asset performance insights
- Automated workflow management and work order generation for streamlined operations
- Customizable dashboards and reports for easy visualization of performance data
- Integration with Computerized Maintenance Management Systems (CMMS) for optimizing on-ground operations
- Map View for assessing the health of renewable asset portfolios in one view
- Drone thermography to pinpoint systemic losses