The Guest – Tariq Said, Founder and CEO at Amp
Tariq Said is the founder and CEO at Amp, an energy analytics startup on a mission to help businesses transform their buildings into intelligent & efficient spaces. Tariq is here today to talk about the challenges that come with founding an energy analytics company, from both technological and geographical perspectives, and the future in this space.
Innovation in Energytech: Shaping the Future of Power
The energy sector is experiencing rapid innovation, transforming how we generate, store, and consume power. Renewable energy sources like solar and wind, combined with advancements in energy storage, are becoming key to sustainable power solutions. Technologies like artificial intelligence, smart grids, and blockchain are enabling more efficient and decentralized energy systems, optimizing distribution and reducing waste.
As demand for cleaner, more resilient energy grows, these innovations are driving a future where renewable energy is reliable, accessible, and integral to the global power grid. The future of energy is smarter, greener, and more sustainable.
Some highlights in this episode include:
- Challenges of Founding an Energy Analytics Company
- Evolution from Solar Development to Energy Analytics
- The Role of IoT and Energy Data
- Market Growth of Energy Management Systems
- Future of Energy Efficiency and Innovation
“How do you see AI playing a role in your business?”
“We already have some forms of machine learning at the cloud level to identify energy efficiency opportunities. That’s something we’ve always done. Essentially, these are statistical models at scale and quite robust. But what we’re now looking at, particularly with LLM (Large Language Model) integration—since it’s the talk of the town—is using it as a user interface improvement. Instead of going through a platform to find, say, how much energy was consumed in a facility in a certain city on a given day, or how many alerts were generated by HVAC units, and then doing the detective work of figuring out why peak energy usage happens at 6 p.m. every day, users could simply ask these questions in natural language.
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