Analysis · Climate, Energy & Sustainability

EarthSync launches AI platform to help enterprises make clean energy decisions

By Startup Enthusiast · 16 March 2026

What they do

EarthSync is an AI platform that helps enterprises simulate, optimise and execute renewable energy investments

Founded in 2024 by Mehul Kumar and Rajat Singh, the startup targets companies looking to decarbonise their operations

The platform uses physics-informed machine learning to evaluate solar, wind and battery energy storage deployments

EarthSync is an AI platform that helps enterprises make decisions about renewable energy investments.
The startup was founded in 2024 by Mehul Kumar and Rajat Singh.
EarthSync uses physics-informed machine learning to evaluate solar, wind and battery energy storage deployments.
The platform performs holistic technical, financial, and policy analysis across the clean energy project lifecycle.
Standardised templates automatically incorporate regulatory variables such as time-of-day tariffs, taxation norms and grid constraints.
The platform centralises data across project teams, advisors and procurement partners to reduce miscommunication.
CXO-ready dashboards allow enterprises to compare multiple deployment scenarios across more than 50 performance metrics.
The company is targeting independent power producers, industrial energy consumers and advisory firms.

India’s energy management software market is projected to grow from $1.6 Bn in 2024 to $4.7 Bn by 2033.
As corporate net-zero commitments intensify globally, AI-driven optimisation platforms could play a central role in bridging sustainability ambitions with execution realities.

EarthSync builds an AI-powered platform that enables enterprises to simulate, optimise and execute renewable energy investments.
The platform performs holistic technical, financial, and policy analysis across the clean energy project lifecycle.
Standardised templates automatically incorporate regulatory variables such as time-of-day tariffs, taxation norms and grid constraints.
The platform uses physics-informed machine learning to evaluate optimal capacity sizing, risk scenarios and sustainability outcomes across solar, wind and battery energy storage deployments.
By centralising data across project teams, advisors and procurement partners, the platform aims to reduce miscommunication and streamline decision-making.
CXO-ready dashboards allow enterprises to compare multiple deployment scenarios across more than 50 performance metrics, accelerating board-level approvals for large-scale clean energy transitions.

Customers: Commercial and industrial enterprises, energy advisors, and independent power producers.
How it makes money: Provides cloud-first techno-economic modelling software subscriptions and clean energy marketplace access.
What sets it apart: Integrates regulatory intelligence, real-time simulation, and techno-economic modelling into a single unified workflow.