About Alpine Energy Systems
We are on a mission to make buildings smarter, greener, and more efficient through intelligent energy management.
Our Mission
Buildings account for nearly 40% of global energy consumption, yet most waste 20-40% of that energy through inefficient systems and poor optimization. Our mission is to eliminate this waste by making intelligent energy management accessible to every commercial building.
Through cutting-edge IoT sensors and AI-powered optimization, we enable buildings to operate at peak efficiency while reducing costs and environmental impact.
Our Vision
We envision a future where every building is an intelligent, self-optimizing system that minimizes energy waste, reduces carbon emissions, and operates in harmony with the power grid.
By 2030, we aim to help reduce global building energy consumption by 1%, preventing millions of tons of CO₂ emissions and saving businesses billions in energy costs.
Founded by ETH Zurich Research
Alpine Energy Systems was founded by Richard Windesheim, an Electrical Engineering student at ETH Zurich specializing in energy systems and IoT technologies.
During his research on smart grid technologies and building automation, Richard observed firsthand how much energy commercial buildings waste through outdated control systems and manual management. Existing solutions were either prohibitively expensive or lacked the intelligence needed for real optimization.
This inspired the creation of Alpine Energy Systems - a platform that combines affordable IoT hardware with sophisticated machine learning to make intelligent energy management accessible to buildings of all sizes.
Today, Alpine is backed by research from ETH Zurich's Electrical Engineering Department and is being piloted in commercial buildings across Switzerland.
Our Team
Building the future of energy management
Richard Windesheim
Founder & CEO
Electrical Engineering student at ETH Zurich. Specializes in IoT systems, energy efficiency, and machine learning.
Engineering Lead
We're Hiring
Looking for an experienced embedded systems engineer to lead IoT sensor development.
ML Engineer
We're Hiring
Seeking a machine learning engineer passionate about sustainability and optimization algorithms.
Our Technology
Built on cutting-edge IoT and AI infrastructure
IoT Sensor Network
Custom-designed wireless sensors with ultra-low power consumption, long-range connectivity, and industrial-grade reliability.
Edge Computing
On-premise processing units that analyze data locally for real-time decision making without cloud dependency.
Machine Learning
Deep learning models trained on millions of data points to predict consumption patterns and optimize energy usage.
Cloud Platform
Scalable AWS infrastructure for data storage, analytics, and remote monitoring accessible from anywhere.