In Chapter 1, we discussed how our entrepreneurial journey started and the process of narrowing down the problem statement.

We learned that commercial buildings are contributing to one-third of global emissions.
In short, we learnt that buildings contribute to one-third of global emissions, with the majority being in electricity demand and usage.

As a startup, it made sense for us to start targeting businesses because we’ve seen that huge energy bills also hurt their margins. When you pick a commercial building, its energy profile shows that about 60-70% of the energy is spent on the heating/ cooling systems, with lighting contributing to 15% and another 15% could be dependent on your business which is servers, motors, lifts, etc.

The heating/ cooling systems or the HVAC systems contribute to more than 60% of energy consumption in commercial buildings.

That is a huge number for heating/cooling systems, isn’t it? In short, they can be categorized as HVACs. We knew that this was the issue we wanted to address and realized we could maximize the impact if we could generate any sort of savings on this front.

Now, we narrowed down on the problem statement. We are going to reduce the HVAC consumption in commercial buildings.

Here comes a major or a good challenge to address. How are we going to reduce HVAC consumption? In most buildings, they can always opt for systems that have the best mechanical efficiency when installed. What more can we do to reduce their consumption? 

After initial market research, we realized that most energy-efficient technologies that are available in the market were good but they needed a lot of infrastructural changes/ operational changes. And most buildings can’t undertake such overhauls. At this point, we decided that the technology we develop has to be as non-intrusive as possible.

As we did more market research, we realized that sensors and automation are not really a way to go because they just transmit data or do on/off for the users, which is not applicable in buildings during working hours. We needed a solution that would satisfy all the aforementioned prerequisites. We realised “what if we add an additional layer of intelligence to your existing systems?” An intelligence that would guide any existing system to save on energy consumption during its runtime operations by not completely shutting it on/off and not meddling with the user’s comfort. That’s exactly what we did!

A self-learning algorithm that would add a layer of intelligence to your existing HVAC systems and save on energy consumption. Or more famously known in today’s world as an AI solution.

With great pride, we define ourselves as “Made In India. For the World”. Keep following this space for the next chapter where we’ll take you through the rollercoaster of creating a product from the ground up.

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