Predict. Prevent. Power On.
Next-gen insights to optimise wind turbine health, performance, and predictive maintenance.
The Challenge in Wind Energy
Traditional maintenance approaches leave operators vulnerable to costly surprises
Unexpected Failures
Turbine breakdowns cause significant downtime and expensive emergency repairs, impacting energy production and revenue streams.
Reactive Maintenance
Maintenance schedules rely on guesswork and fixed intervals rather than real-time data, leading to inefficiency and missed opportunities.
Intelligence That Keeps Turbines Spinning
Transform reactive maintenance into proactive optimization with AI-powered insights
Predict Risks Early
Advanced machine learning algorithms detect anomalies and predict potential failures before they occur, minimizing downtime.
Real-Time Monitoring
Track critical metrics including wind speed, power curves, gearbox temperature, and vibration patterns in real-time.
Optimize Performance
Improve plant load factor (PLF) and optimize maintenance schedules based on data-driven insights and predictive analytics.
Dashboard Features
Comprehensive tools for complete turbine health management
Autonomous Diagnostics
AI agents continuously scan turbine data, simulate failure scenarios, and self-diagnose mechanical or environmental issues in real time. The system can even trigger preemptive maintenance workflows automatically.
Adaptive Optimization Engine
Agentic AI learns turbine performance patterns and autonomously adjusts control parameters to maximize efficiency under changing weather and terrain conditions.
Conversational Command Center
A voice and text-based LLM translates complex SCADA data into natural insights, allowing operators to ask questions and receive clear, actionable responses.
Proactive Weather Intelligence
Agentic AI combines weather data with predictive analytics to give proactive guidance, such as adjusting operations ahead of storms or extreme conditions.
Building the Future of Wind Energy
I'm Kunal, founder of AeroSyn. With 9+ years of experience spanning Fintech, Blockchain, Data Science, and AI, I've had the privilege of working with industry leaders including Deloitte, BNY Mellon, Shell, and Synechron.
Driven by a passion for renewable energy and sustainable technology, I built AeroSyn to merge cutting-edge data science with artificial intelligence. Our mission is to create smarter, more reliable wind power systems that help accelerate the global transition to clean energy.
Bridging Hardware and Intelligence
Sonam holds a degree in Instrumentation Engineering from a leading Indian university and a Master's in Data Analytics from Oxford Brookes University, completed in 2024. Her academic path built a strong bridge between hardware systems and intelligent data-driven technologies, sparking a deep fascination with how IoT and analytics can transform energy systems.
Driven by curiosity and purpose, Sonam has focused her career on the intersection of data science, IoT, and renewable energy innovation. Her expertise lies in turning complex turbine and sensor data into actionable insights that improve efficiency, predict maintenance needs, and reduce operational downtime. She is particularly passionate about developing AI-enabled solutions that make wind energy smarter, more reliable, and more sustainable for the future.
Experience the Future of Wind Health Management
Join the next generation of wind farm operators using AI to maximize uptime, reduce costs, and optimize performance.
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