How Enlog Is transforming every unit of electricity into an intelligent resource

As much as power consumption is seen as a fixed cost, Enlog is challenging that perception with a smarter and more efficient way of managing power. Using a combination of AI algorithms with our proprietary IoT hardware, Enlog is able to monitor and manage electricity flow in real time, using our platform to conserve waste and mitigate usage without human involvement. With the goal of intelligent-capitality as a core milestone to achieving sustainability and cost reduction, Enlog is changing the game in the commercial energy landscape in India.

That was the question that gave birth to Enlog, a startup that is rethinking energy efficiency through AI and proprietary IoT hardware.

“The turning point for me was when I saw how passively we use electricity,” says Ayush Gupta, Co-founder and CTO of Enlog. “It didn't make sense to me to walk into PGs and hotels with ACs or geysers running when no one was even there. We started asking questions like, what if every unit of electricity could be intelligent?”

First-Principles Engineering in an Intricate Market

Enlog's answer was not to throw some dashboards on or import meters that are off-the-shelf. Instead, the engineering team built an entire IoT stack in-house, from custom chipsets to edge-level AI. “Building IP-intensive tech in from scratch in India is not only innovation - it is endurance,” Gupta said. “We had to solve for erratic power availability, fragmented infrastructure, long lead times, and we have a lack of deep hardware talent.”

Their deep tech base enabled them to build a platform that was resilient to India's infrastructural realities. Their custom SoCs can make decisions at the millisecond level locally — without cloud reliance — meaning that the system can continue to work, even at low bandwidth reliable states.

Treat R&D as the Business

R&D and commercial viability can be a balancing act for deep tech start-ups. Enlog's business model? Combine R&D with the business model. "We never saw R&D as separate from the business — it is the business," says Gupta. 

They adopt a 70-20-10 allocation model: 70% is designated to core deployment, 20% to refinement, and 10% to "high-risk" deep-tech bets. Early success helped them build a customer base and trust, which enabled them to continue innovating.

Intelligence at the Edge 

At the core of Enlog's platform is its AI-enabled, autonomous appliance management system. Their sensors collect many signals - voltage, current, power factor, frequency, ethereal conditions, temperature, occupancy status, and ambient conditions. Then, the information is interpreted, not just logged. 
 
"Our system learns from behaviour patterns, identifies anomalies, predicts faults, and autonomously intervenes in real-time,” Gupta says. In one hotel deployment, the system detected a appliance malfunction that, while operating normally, could have been catastrophic. Rather than let the current flow, the system isolated theappliance malfunction and notified the maintenance team - all without human involvement. 
 
For their clients, the complexity is abstracted. The clients see a clean dashboard indicating energy savings, system health, and actionable recommendations; behind this intuitive interface lies a system that continuously adapts and optimizes the usage across multiple loads.

Scale, Savings, and Sustainability

After deploying in over 1,580 PGs and more than 120 hotels, Enlog has already had a demonstrable impact. Clients find an average reduction of 23% electricity consumption, and without changing any behaviour. To property owners, this means reducing operational costs and a typical ROI period of 8-10 months. 

Each client eliminates, on average, about 2.7 tonnes of CO₂ emissions a year, turning Enlog into an effective energy control method but also effective environmentally. 

What's Next

By creating an ecosystem where every single unit of electricity can "think", Enlog isn't just solving inefficiencies but will redefine the relationship between people and power. "We wanted to go beyond just data. We wanted to create a system that can think, act, and save energy without any person actually doing anything," says Gupta. 

In a country wherein the ordinary state is to confront issues around top-down infrastructure, Enlog's solution exhibits how creative ground-up (literally) escalatorial thinking can produce systems that power businesses and sustainability.