Carnot Innovations aims to be the brain behind a truly smart building. Our ground-breaking software platform enables persistent optimization of commercial building operational performance.

Existing practices for maintenance of Heating Ventilation and Air Conditioning (HVAC) Systems in commercial buildings are inefficient and outdated. Each commercial building (~10-15 floors, 75,000 GFA) on an average loses over 350,000 USD every year in energy and maintenance costs.

We use advanced Machine Learning algorithms to predict failures on HVAC mechanical equipment and our actionable insights empower facility managers to perform targeted defect rectifications at optimal times. We are the first to enable AI based Continuous Commissioning and we generate over 20% savings in total Energy costs (approximately 200,000 in addition to Maintenance savings and increased equipment life.

Ashish Justin

Ashish Justin is a Certified Energy Manager with a master’s in Automation from NTU Singapore. He is a domain expert with over 5 years research and industry experience in building automation and control. He has worked with clients like MGM MACAU, Sands China, Swire Properties etc. and has experienced the effects of inefficient maintenance first hand.

Chris Choy

Dr Chris Choy is a data scientist and full stack developer. He has a PhD in statistics from the university of Oxford. He has over 10 years experience in research and in industry. His previous role in BASF involved root cause analysis, process optimization, time series analysis which is directly applicable to solve the problem here.

Converge is a hardware and software platform that works with existing sensors to store, analyze and display their data, automatically, in real­time. We charge a subscription fee per connected sensor, and a fixed fee for any hardware and installation.

Raphael Scheps is a Cambridge trained theoretical physicist, with years of experience in large-scale data analytics at Mellanox and the Weizmann institute.

Gideon Farrell is an astrophysicist from Cambridge with 10 years of software experience. Gideon has worked on Intel’s pioneering IoT project, WISP.