Enlog Triumphs at ENTICE 2.0 with $500K Grant Support

Enlog, ENTICE 2.0, JVVNL, Global Energy Alliance for People and Planet, GEAPP, clean energy, Indian startups,

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Energy-tech startup Enlog has been named a winner of ENTICE 2.0, an innovation challenge organised by the Global Energy Alliance for People and Planet (GEAPP). The company will receive a share of the $500,000 technical assistance grant pool, along with a pilot deployment opportunity with Jaipur Vidyut Vitran Nigam Limited (JVVNL). This win provides Enlog with the chance to validate its advanced energy intelligence solution on live electricity distribution networks at scale.

The Event and Its Focus

The announcement was made during GEAPP’s Alliance in Action Convening in New Delhi on August 29, 2025. The event brought together leaders from the power sector, including distribution companies (DISCOMs), investors, policymakers, and clean-tech entrepreneurs. The central theme of ENTICE 2.0 was accelerating India’s clean energy transition by bridging the gap between prototype technologies and large-scale deployment.

The challenge was built around two core problem statements:

  1. Developing AI-driven digital twins of behind-the-meter (BTM) appliances without deploying additional hardware.
  2. Using smart-meter data to detect industrial inefficiencies and identify flexible energy assets.

Why Enlog Stood Out

Enlog’s innovative solution emerged as a standout in the first category. Its approach combines a plug-and-play IoT edge device with advanced AI analytics, enabling real-time, appliance-level intelligence without requiring extra sensors or meters. This allows DISCOMs to create digital twins of millions of BTM loads, offering granular visibility into consumption patterns.

The scalability of Enlog’s approach was a key factor in its success. By rethinking how smart-meter data is transmitted and analysed, the startup demonstrated how its system can move beyond simple monitoring and deliver actionable insights for managing India’s rapidly growing energy demands.

Competition and Selection Process

ENTICE 2.0 attracted over 160 applications from across India. From this pool, only 12 finalists were shortlisted to participate in an intensive bootcamp featuring masterclasses and mentorship from industry experts. The finalists then pitched their solutions in two rigorous rounds before a panel of energy leaders, investors, and DISCOM executives.

Enlog, along with Flock Energy, was declared a winner in the first problem statement. Both startups will receive funding support, technical assistance, and pilot opportunities to demonstrate their technologies in real-world conditions. Enlog’s pilot with JVVNL will provide the crucial test bed needed to showcase the impact of its platform on distribution-level operations.

Other Winners and Investor Support

ENTICE 2.0 also recognised two winners in the second problem statement: Trillectric and Faclon Labs. Trillectric offers a structured platform to identify inefficiencies and flexibility in industrial energy use through smart-meter data, while Faclon Labs leverages AI and Big Data tools to provide real-time diagnostics, anomaly detection, and demand forecasting across multiple industries.

To further accelerate deployment, several investment partners, including AWE Funds, Synapses, Theia Ventures, ZeCa Capital, Spectrum Impact, and Ankur Capital, signed memoranda of understanding (MOUs) to explore funding support for the winning teams. These commitments, subject to due diligence, will help promising startups move from pilot stage to large-scale implementation.

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About Enlog

Founded in 2019 by Bharath Rankawat and Jharna Saha, Enlog develops full-stack energy intelligence solutions that combines patented IoT devices, artificial intelligence trained on billions of data points, and a scalable system architecture. The company’s solutions are built to help organizations reduce electricity consumption, decrease costs, extend appliance time on, and develop sustainable practices.

Enlog’s participation in ENTICE 2.0 not only validates its technology but also highlights the growing role of Indian startups in tackling global clean energy challenges. With the JVVNL pilot, the company aims to demonstrate how hardware-light, AI-driven systems can deliver value both to consumers and to utilities responsible for grid stability.

Why It Matters for India

India’s energy sector is rapidly evolving in response to growing electricity demand, increasing renewables, and an urgent imperative to control carbon emissions. Distributed energy companies (DISCOMs), which are core to electricity distribution, now must balance reliability, efficiency, and sustainability.

Solutions like Enlog’s provide a way forward. By enabling deeper insights into consumption without the need for expensive hardware rollouts, these innovations support the creation of a unified “India Energy Stack”, a digital backbone that connects data, intelligence, and action across the sector.

GEAPP’s ENTICE initiative has served as a critical vehicle in this transition to deepen and expand access to capital, capability and utility partnerships to facilitate innovation. As ENTICE moves to its third time and prepares to unveil its new focus, we expect to see more emphasis on deep-tech solutions, grid resilience, and digitalisation-led energy efficiency.

The Road Ahead

Winning ENTICE 2.0 if for Enlog is a recognition but also an opportunity to scale its solution across the country. The soon to be implemented pilot with JVVNL will prove how Enlog’s system can fulfill its promise for efficiencies, cost savings and flexibility in operation. If successful, Enlog will have the opportunity to partner with other DISCOMS across the country and could ultimately lead to a change in how energy is monitored and managed in India.

With its distinctive application of IoT, AI, and scalable approach, Enlog now finds itself at the centre of the clean energy transformation journey in India, while casually catching the spirit of innovation required to fulfil the ambitious climate and energy goals of the country.

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