We use advanced Machine Learning algorithms to detect and predict equipment maintenance, control logic and operations defects in HVAC systems such as: Chillers, Pumps, Cooling Towers, Heat Pumps, AHUs etc.
Our actionable insights empower facility managers to perform targeted defect rectifications at optimal times. We enable AI powered Continuous Commissioning.
Our machine learning based Fault Diagnostics and algorithmic Chiller Optimization are now generating energy savings in commercial buildings, metro stations and schools.
Our team comprises of energy consultants and data scientists.
This summer marks a pivotal and exciting period for Carnot as we embark on a robust expansion of our business into the vibrant market of Singapore. Actually early this year, we had built upon our successful collaborations with partners and clients in Singapore, and have achieved remarkable outcomes, particularly in optimizing energy savings for Grade A commercial buildings in the iconic Marina Bay area. We invite you to delve deeper into our achievements by clicking here to explore the details of this noteworthy endeavor.
Can AI help the Mass Transit Railway in Hong Kong to save energy? Read into this inspiring story of collaboration between Carnot and MTR now.
What is a smart HVAC system? See how the emerging technologies are shaping the industry.