Our mission is to reduce energy consumption globally
We use data, algorithms and modern cloud infrastructure to help businesses and public institutions reduce energy consumption – in many cases without large investments.
According to the International Energy Agency (IEA), energy use in buildings accounts for about 28% of global CO2 emissions. By 2030, this percentage should be significantly reduced and by 2050, CO2 emissions should be close to zero. This is only possible if we significantly increase the speed and scale of the transition. In buildings, there are a number of areas where we need to take action to reach our ambitious targets. The problem is that it is often expensive and time-consuming to find out what the best and most effective measures are. If we are to succeed in the green transformation, it is therefore essential that we have new, data-driven tools that can help building owners and operators understand which solutions are most effective across buildings, support the complex optimization process, and ultimately verify that the actions are having the expected impact.
We believe computers are better at analysing data than humans
The biggest obstacle to efficient and sustainable building operations is costly and slow processes. Energy consumption data is widely available - our Digital Advisors automate the process of analysis to bring actionable insights to the energy professionals in charge.
At the heart of our solution is a set of advanced algorithms that attempt to “understand” the energy consumption of a building. Energy data is collated and enriched with weather data and other information about the building before being analysed for the most effective energy optimisation measures.
The measures are automatically prioritised by the system and presented to the building owner or operator so that they can take action where the potential is greatest. After implementation, the virtual advisor monitors consumption to document actual savings, which can also be used further in the organisation. For example, this information can support the work of sustainability managers and in some cases be an important part of a company’s CSR reporting on sustainability and climate impact.
Our virtual energy advisor focuses largely on the easiest and most efficient solutions first, but can help throughout the journey towards zero-emission buildings. We are convinced that in a few years’ time, very few energy optimisation measures will take place without the assistance of a virtual energy advisor!
Meet the founders
Ento was created to contribute to the green transition by unlocking the value stored in data. Based on the whole teams experience in optimising manual processes with data and advanced algorithms, we have developed a product and strategy to have the biggest possible impact on the green transition.
Chief Executive Officer
Former machine learning specialist at UC Berkeley. Co-founder and lead machine learning engineer at Wise.io, acquired by General Electric to optimise industrial processes with machine learning.
Kasper Bjørn Nielsen
Chief Technology Officer
Experienced software, devops and machine learning developer. Previously at Wise.io, General Electric, and Siemens Gamesa. Has built data infrastructure and machine learning applications that have helped companies with optimisation at scale.
Chief Commercial Officer
Former business development consultant at Innovation Center Denmark in Silicon Valley, where he helped a number of major Danish energy companies with digitalisation and innovation.
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We help the most climate ambitious organisations to do even better
What our customers say about Ento.
We’re privileged to work with the most climate-ambitious organisations to reduce costs and CO2-emissions. Their stories of success is why we keep pushing.