Optimise AI
Problem addressed
UKGBC’s Whole Life Carbon Roadmap targets a 29% reduction in the average non-domestic building energy intensity by 2030, with a further 20% reduction by 2040. Alongside a mix of strategies for reducing these emissions, the roadmap sees building operational optimisation as a vital step since direct and indirect building operation emissions amounted to 3.7 GtCO2e in 2022 according to the IEA. However, nearly 90% of non-domestic buildings don’t have Building Management Systems (BMS) and therefore are not monitored or managed effectively.
Overview of start-up
Optimise AI offers an intuitive software solution to address these challenges. Using virtualized BMS technology, it optimizes energy and utility usage in buildings without requiring costly BMS installations. It employs two core methodologies:
For the 90% of buildings lacking a BMS, Optimise AI utilizes historical and real-time meter data, along with AI, to provide actionable insights for reducing energy and carbon emissions.
For buildings with a BMS or BIM model, Optimise AI creates a Digital Twin to simulate, optimize, and actuate energy reduction. This technology uses immersive 3D visualization and can incorporate various variables, resulting in up to 40% utility consumption reduction and improved building efficiency, comfort, health, and safety.
What makes the start-up innovative?
Optimise AI stands out as the only solution employing a self-updatable digital twin powered by Generative AI, enabling actionable insights and savings even with minimal operational data. Its semantic layer integrates digital twin technology, energy modelling, instrumentation/BMS systems, Generative and Artificial Intelligence, providing advanced building energy management. This semantic approach offers a holistic understanding of the building’s indoor environment and leads to significant energy and cost savings opportunities.
How the start-up has been designed to scale-up quickly
Optimise AI’s “predict X” product leverages Artificial Intelligence, including Transformers, to revolutionize energy management in buildings with a Generative-Twin concept. It will be offered as a mass-market product, providing insights and optimizations for free, followed by upselling through a small SaaS fee. This scalable approach aims to disrupt building energy management for all building owners.