EYWA Energy
Agentic AI for Autonomous management of HVAC Operations, maintenance & overall energy consumption
Company Overview
Snapshot
Founded in August 2023 by Efi Or, Erez Karpas, and Lior Golani, EYWA Energy operates with 1–10 employees. The company secured a grant from the Israel Innovation Authority in January 2025, marking a significant early milestone in its development.
Business overview
EYWA Energy develops an AI-driven optimization platform for centralized HVAC chiller plants, targeting large facilities such as airports, hospitals, universities, and industrial zones. The core technology utilizes predictive algorithms and advanced data analytics to manage workload distribution across multiple chillers in real time, optimizing performance based on individual unit efficiency. This system aims to reduce electricity consumption by up to 30%, leading to substantial annual savings, while maintaining consistent thermal comfort. Additionally, its integrated predictive maintenance module monitors equipment health to prevent failures, improve reliability, and extend asset lifespan, positioning EYWA Energy within the Energy Tech sector with a focus on Eco-Efficient Energy Usage and Artificial Intelligence.
Log in to access full profile ›Company Intelligence Q&A
- What is EYWA Energy's primary focus?
- EYWA Energy focuses on optimizing HVAC operations, maintenance, and overall energy consumption in large facilities using agentic AI.
- When was EYWA Energy founded?
- EYWA Energy was founded in August 2023.
- Who are the founders of EYWA Energy?
- The company was founded by Efi Or, Erez Karpas, and Lior Golani.
- What kind of facilities does EYWA Energy's platform target?
- EYWA Energy's platform targets large facilities such as airports, hospitals, universities, and industrial zones that utilize centralized HVAC chiller plants.
- What is the primary benefit of EYWA Energy's system?
- The primary benefit of EYWA Energy's system is the reduction of electricity consumption by up to 30%, leading to significant annual savings and improved equipment reliability through predictive maintenance.