Orbitify provides an AI‑powered platform for renewable energy operators that consolidates operational data and delivers real‑time insights to improve asset performance. Its features include an AI assistant for optimization recommendations, predictive maintenance models that forecast failures, and drone‑based anomaly detection, all integrated with existing SCADA, ERP, and maintenance systems to reduce downtime and boost energy production efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Renewable energy operators often struggle with fragmented data, manual inspections, and unplanned equipment failures, leading to reduced asset performance and increased downtime.
Solution
Orbitify offers an AI-powered platform that consolidates operational data and provides real-time insights to optimize asset performance. The system uses machine learning to identify inefficiencies, predict equipment failures, and detect anomalies from drone-captured imagery, enabling proactive maintenance actions. By integrating with existing enterprise systems, the platform delivers actionable recommendations and risk assessments directly to operation and maintenance teams, helping them reduce downtime and improve overall energy production efficiency.
Target Audience
Primary customers are operation and maintenance teams at renewable energy companies, including wind farm and solar plant operators seeking to enhance asset reliability and efficiency.
Features
- AI-driven assistant that analyzes asset data to pinpoint performance gaps and suggest optimization actions
- Predictive maintenance models that forecast component failures and schedule interventions before breakdowns occur
- Anomaly detection pipeline that processes drone inspection images to automatically flag potential issues
- Seamless integration with existing SCADA, ERP, and maintenance management systems for unified workflows
- Real-time risk assessment tools that evaluate checklists and safety forms to mitigate operational hazards