Predict has launched
Get started for free with with just your meter ID
Optimised energy management of non-domestic buildings
Harnessing the power of digital twins and AI to minimise energy and carbon emissions from buildings.
The problem with our buildings
Buildings lack operational data. 90% of non domestic buildings don't even have a building management system. This lack of data is hindering the ability to reduce energy and carbon emissions from buildings
Rising energy costs
Energy bills have risen ~350% since 2021, making the need to reduce usage even more important.
Carbon emissions
Carbon Emissions from buildings need to reduce by 50% by 2030 to meet current targets.
Our solution
Our technology delivers significant savings.
Get started with just your meter data
BIM/Energy model
Your data
AI/ML models
Integrates your BMS
We can integrate your BMS or Smart Meter with our system, unlocking an AI-powered digital twin of your building.
Optimises your data
New or old, our system can work with just a simple meter reading to get you started.
Reduces energy costs
Save money by using our AI powered digital twin to help you operate your building more efficiently.
Reduces carbon emissions
Start on your path to Net Zero with our tailored guidance.
The perfect products for your building
Whatever your requirements, we have you covered. No matter how much or how little energy data you have.
Predict
Measure and manage the energy performance of your whole estate in real time.
Monitor progress by comparing your buildings against industry benchmarks and EPCs.
Find and compare the best energy tariff for your building.
Identify improvement measures and double down on the most important buildings.
Optimise
Everything you get with Predict but with greater data maturity and insights.
Proven energy savings of up to 40%, leading to enhanced cost savings and a decrease in energy and carbon emissions.
Granular mapping of buildings down to room level, tracking real-use algorithms for precise insights.
Focus on real time issues and optimise to drive deep carbon, energy and monetary savings.