Transform data into asset, optimise energy consumption, reduce technical operations costs, and make buildings AI-ready
Make your building AI-ready and efficient
In today's built environment, a critical challenge persists: most buildings lack comprehensive big data on their technical operations. This gap severely limits operational efficiency and energy optimisation. The HiPerWare platform, addresses this challenge by affordably measuring and analysing big data of technical processes, not just parameters. Our hardware and 3rd-party systems API collect technical big data, making properties truly AI-ready. By providing deep insights into operational patterns, HiPerWare significantly enhances both operational efficiency and energy performance. This data-driven approach not only reduces costs but also paves the way for smarter, more sustainable buildings in an increasingly AI world.
Reduce energy costs, carbon footprint and embrace sustainable practices to achieve the goal of net-zero CO2 emissions. Get detailed information and analytics on all processes, potential of energy optimisation and improvements action plan.
Reduce operational costs. Establish operational efficiency validation and optimisation. Detect technical and human-based inefficiencies by acting as a smart “video surveillance” of intra-system processes. Simplify the field maintenance services.
Boost ESG reporting by automatically collecting operational data from a variety of sources. Import data from existing systems to become the central data platform for deep process analytics and ESG reporting, to comply with CSRS, ESRD requirements.
Increase asset value with provision of the operational data throughout the building’s life. Provide proof of the efficiently operating asset by continuous collection of operation big data. Present your project as a single information technology process leveraging BIM through the entire building’s life cycle: design-build-operate.
After a thorough analysis of all processes, it was identified that one of the production workshops was simultaneously cooled and heated during winter, resulting in excessive energy consumption of 60 MWh of fossil fuels and 18.5 tons CO2 emissions per month.
End-to-end platform that combines hardware, firmware, cloud software, big data analytics, AI for high performance technical operations.
Your own virtual Energy Manager that reduces energy costs by up to 30% at an affordable price.
Comprehensive digital detection of inefficiencies to reduce operating costs by up to 26%.
HiPerWare-based 6 phase methodology to ensure fast results and long-term success in achieving energy optimisation goals.
Google tag