Que: Enlog has witnessed rapid growth since its inception. What have been the key drivers behind its success?

Ans: Enlog, being a technology company, has relied heavily on technology and building a strong foundation. The first key driver has been identifying the right problem and developing a large-scale solution for it. When we talk about technology, we often see smaller initiatives where companies rely on human intervention, hiring large teams to carry out tasks. However, by leveraging technology as a foundation, we have built solutions at scale. We have identified key areas where technology can be integrated effectively, which is one of the primary reasons for our rapid growth and scalability.

Que: How does your self-managed energy system improve real-time monitoring and energy optimisation for businesses?

Ans: In electricity management, monitoring solutions have existed for some time, but real-time monitoring requires gathering precise data points that help identify and eliminate waste. We have enhanced tracking accuracy to within 2 milliseconds, allowing us to pinpoint the causes of energy wastage effectively.

When it comes to optimisation, existing market solutions typically rely on trained professionals with an electrical engineering background to operate systems. Alternatively, they provide dashboards or apps, requiring users to interpret data themselves. Instead of relying on human intervention to manage energy efficiency, we have trained AI and machines to simplify the process. Our AI can command devices, determine optimal usage, and identify inefficiencies. Additionally, it gathers real-time data, taking into account relevant parameters such as weather conditions, which human programmers may overlook. By utilising such data, our system makes buildings truly smart and self-managed.

Que: How do you convince businesses to invest in this technology?

Ans: Securing investment and driving adoption of our technology has become increasingly feasible as businesses are now more informed. They understand the limitations of existing systems and the challenges they face. There is a clear demand for autonomous and simplified solutions that eliminate the complexities of traditional building management systems. Since businesses are actively seeking such solutions, we are well-positioned to cater to this demand.

Que: What are the biggest barriers to energy efficiency adoption in India's commercial and residential sectors, and how are you addressing them?

Ans: At present, we are focusing on the commercial sector. One of the main challenges is a lack of awareness about the capabilities of AI in energy efficiency. While AI developments in other areas, such as generative AI, are widely recognised, its application in energy management remains relatively unexplored. We aim to be pioneers in developing technology that can transform energy management and drive significant efficiency improvements.

Que: Enlog has already helped cut 4,000 tonnes of carbon emissions. What steps are being taken to achieve your goal of reducing emissions by 1 million tonnes by 2027?

Ans: To achieve this ambitious target, rapid scaling is essential. We are actively partnering with organisations that prioritise sustainability and are committed to making meaningful changes. For example, Bloom Hotels, a technology-driven hospitality brand, has integrated technology across its operations, including energy management. By collaborating with industry leaders who are keen to adopt cutting-edge solutions, we aim to accelerate carbon emission reductions on a much larger scale.

Que: Do you see the government initiatives shaping the future of smart energy solutions?

Ans: Government initiatives have been largely supportive, providing platforms to promote sustainability. There is a strong push for buildings to become smarter and more sustainable. So far, government policies have been favourable. However, if stricter regulatory compliances or additional certification requirements are introduced, smaller companies may face challenges in adapting. We ensure that we remain agile and stay ahead of regulatory changes to continue our growth.

Que: Are there any upcoming partnerships, launches, or innovations we can look forward to?

Ans: Currently, our device collects and analyses data, while AI processes this information on the cloud to make energy management decisions. We are working on making the device itself more intelligent, allowing data processing to occur within the building rather than being transmitted to the cloud. This approach enhances data privacy and reduces reliance on cloud computing. By leveraging edge computing, we aim to make our solution even more carbon-efficient, further reducing our overall carbon footprint.