Our Vision
Be the Market Leader in sustainable and energy efficient built environment solutions
Our Mission
To create sustainable built environment by providing advanced building automation and control solutions for energy efficiency, operational carbon footprint reduction and occupant well-being.
Our Philosophy
Leadership driven by continuous innovation and technology excellence
Technology Features & Specifications
The MPC technology can be applied to various types of buildings with centralised building management systems (BMS). The technology provides smart energy management to the BMS. It could work as a plug-in module to the existing BMS as a supervisory control layer or as a standalone BMS to the building.

Predictive Control
Predictive control based on detected/forecasted occupancy loads and weather conditions as well as physics-based/machine-learning-based building dynamic models.

Human Comfort and Energy Optimisation
Integrated human comfort and energy efficiency optimisation by incorporating sophisticated thermal comfort (predicted mean vote) and visual comfort (daylight glare probability) models into building dynamic models.

Building Dynamics
The core of MPC technology includes a physics-/machine-learning-based integrated building model, capturing the dynamics of the building, ACMV, lighting, shading systems, occupant thermal and visual comfort, as the basis for the forward prediction capability.

Energy Savings
MPC could achieve substantial energy savings and improved thermal and visual comfort as compared to conventional reactive control.
Our Solution
Discover how our intelligent energy management solution revolutionizes the optimization of your building’s energy systems.
Our solution revolutionizes the efficiency of
your building’s energy
systems,
including cooling, heating, lighting, and shading, as well as on-site renewable energy and energy storage
systems.
This solution is designed to enhance operational performance, improve user comfort, and reduce carbon
footprint of
your buildings. Supporting multiple communication protocols, our system ensures seamless integration with
your
building’s infrastructure.
Powered by AI and digital twins, our algorithm
predicts changes in the
indoor environment and energy demand by accounting for weather and occupancy shifts. This forward-thinking
approach
allows for the optimization of energy use and indoor conditions in advance, moving beyond traditional
reactive methods
to offer predictive, adaptive, and intelligent control of your building’s energy systems.
Our solution leads to significant outcomes: up to
a 58% reduction in
energy
consumption, the elimination of thermal and visual discomfort, and considerable savings on energy bills
and emissions.
Our Benefits
Elevate the thermal comfort in your building with our solution, engineered to maintain the perfect indoor climate regardless of external weather fluctuations. By dynamically optimizing Air Conditioning and Mechanical Ventilation (ACMV) operations in real-time, our algorithm ensures a consistently comfortable environment that is both energy-efficient and responsive to the immediate needs of occupants.
Yang, S., Wan, M. P., Ng, B. F., Dubey, S., Henze, G. P., Rai, S. K., Baskaran, K. (2019). Experimental study of a model predictive control system for active chilled beam (ACB) air-conditioning system. Energy and Buildings, 203, 109451.
Enhance the visual comfort within your building spaces with our solution, designed to harmonize natural and artificial light, ensuring optimal illumination levels throughout. Our algorithm intelligently reduces glare and adjusts lighting based on the forecast of indoor occupancy and outdoor climate, creating a visually soothing environment that supports well-being and productivity.
Yang, S., Wan, M. P., Ng, B. F., Dubey, S., Henze, G. P., Chen, W., Baskaran, K. (2021). Model predictive control for integrated control of air-conditioning and mechanical ventilation, lighting and shading systems. Applied Energy, 297, 117112.
Unlock unparalleled efficiency and sustainability for your buildings by choosing our advanced energy management technology. Designed to smoothly integrate with existing building automation systems, our solution has been proven to deliver immediate energy savings ranging from 15% to 58%, as evidenced by measured data from a variety of real-world buildings.
Yang, S., Wan, M. P., Ng, B. F., Dubey, S., Henze, G. P., Chen, W., Baskaran, K. (2021). Model predictive control for integrated control of air-conditioning and mechanical ventilation, lighting and shading systems. Applied Energy, 297, 117112.
Implementation Roadmap
Our Portfolio
Our portfolio showcases a diverse range of innovative solutions developed for clients across various sectors, including public institutions, industry leaders, and academic organizations. Each project reflects our commitment to delivering excellence and addressing unique challenges in multiple domains.
- All
- Academia
- Public
- Industry
Check out our Publications
Dive into the cutting-edge discoveries! Click here to explore our extensive list of research publications.
R&D Sponsors and Partners
We have collaborated with a diverse range of partners, from academic institutions to government agencies, to deliver exceptional solutions.
Industrial Partners
We've partnered with leading industrial collaborators to bring our innovative solutions to life.
Contact Us
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