Introduction: Smarter Energy, Seamlessly Delivered
In a country as vast and varied as India, the energy challenge isn’t just about supply, it’s about how intelligently we manage demand. From buzzing PGs in Bengaluru to heritage hotels in Jaipur, India’s electricity usage is as dynamic as its geography. And that’s where Enlog is making quiet but powerful strides.
Indian Startup Times sat down with Ayush Gupta, the soft-spoken yet sharply insightful Co-founder and CTO of Enlog, to decode how AI is being harnessed for real-world impact. From handling fluctuating voltages to foreseeing energy usage patterns, Enlog’s technology is all about making power consumption smarter, leaner, and a whole lot more efficient.
Cracking India’s Energy Puzzle with Context-Aware AI
Over a cup of coffee, Ayush began by explaining what sets Enlog’s AI apart. “India has its rhythm when it comes to electricity, Old wiring in some places, voltage fluctuations in others, and our system is built to handle all of it” he said. Their proprietary AI isn’t a generic, off-the-shelf solution. It’s developed in-house, and trained specifically for Indian conditions. Enlog’s compact, tamper-proof hardware is designed to operate in real-world environments from a busy paying guest accommodation to a high-footfall commercial space.
When asked how they balance speed with accuracy Ayush shared, “We process up to 25,000 electrical samples per second, this helps us detect even the smallest deviation in power usage, ensuring real-time responsiveness.” This level of processing happens on the edge meaning the device works independently without relying on constant internet or cloud access making it highly reliable, even in areas with patchy connectivity.
Beyond Monitoring: When AI Becomes Predictive
Enlog’s system isn’t just about tracking energy usage, it's about anticipating it. Ayush explained how their AI combines historical patterns with external factors like weather and user behavior to predict energy needs. He explains “If it’s a hot day, and you usually switch on the AC at 3 PM, our system already knows that and optimizes energy usage accordingly.”
This predictive layer allows Enlog to manage devices in real time improving energy efficiency and keeping costs in check. For commercial setups like hotels or offices, this translates directly into savings and operational efficiency. At the heart of this advancement is Enlog’s in-house R&D team. “We’ve made a conscious choice to keep development internal. Setting up a team takes time, but it gives us complete control over the product and the ability to innovate without compromise.”
The IP Game: Patents, Vision & the Invisible Hand of AI Ayush also shed light on the company’s patent roadmap. “It’s not just about protecting ideas, its about understanding what the data is telling us,” he said. With every deployment, Enlog’s AI is exposed to more data, which it uses to continuously improve its predictions and controls. Over time, this creates a silent intelligence layer, one that operates in the background, optimizing energy consumption without human intervention. He added “You don’t have to think about it, It’s just there—in the background—always on, always adjusting, without needing to be told what to do.”
Highlights from the Conversation
Tech Muscle
● Processes 25,000 data points per second for precise, real-time decisions.
● Operates on edge computing, offering low latency and offline functionality.
● Considers seasonality, behavioral trends, and contextual factors to make smart
decisions.
Built from the Inside Out
● Proprietary hardware and AI developed entirely in-house.
● Real-time feedback from field deployments drives continuous improvement.
● Systems designed specifically for Indian wiring, infrastructure, and conditions.
Conclusion: A Quiet Revolution in Every Socket
Talking to Ayush Gupta, you don’t get the typical founder spiel. There’s no inflated jargon, no inflated promises. Just a quiet belief in what Enlog is building—one smart sensor, one data point, one kilowatt at a time. Enlog isn’t just participating in the AI energy revolution, its uniquely shaping an Indian Version Of it.
Interview Conducted By Naman Jain, Indian Startup times
