AI-Powered EarthSync Secures $1M to Advance Clean Energy & Storage Policy Tools
Revolutionizing Renewable Energy Decisions with AI
Simplifying Complexities
EarthSync offers a unified AI platform for planning, procurement, and operations of renewable energy assets. Its stack combines techno-economic modeling, regulatory intelligence, and machine learning to generate scenario-based financial forecasts, procurement recommendations, and grid impact analyses. The platform aims to reduce uncertainty in deal structuring and operational planning by converting fragmented data into repeatable decision models.
Driving Storage Optimization
Storage is central to EarthSyncs value proposition. The platform runs fleet-level simulations covering roughly 4 GWh of battery energy storage system capacity and has been validated on planning use cases at the 100 MWh scale. Features include optimized dispatch strategies, revenue stacking across markets, degradation-aware lifetime models, and locational value signals that tie project performance to policy and tariff regimes.
Bridging Policy and Performance
Policy-Integrated Insights
EarthSync provides a single digital interface that overlays policy, pricing, and asset performance data. That enables developers, off-takers, and financiers to assess compliance, incentives, and future regulation impacts alongside technical and commercial metrics. By linking regulatory intelligence with techno-economic outputs, the platform supports coordinated decisions across the renewable value chain.
Impact in a Growing Market
In markets such as India, where policy signals and grid conditions shift rapidly, EarthSync helps translate regulatory complexity and climate constraints into actionable deployment plans. The result is faster, more financially optimised rollouts of solar, wind, and BESS projects that align with local rules and incentive frameworks.
Investor Confidence Fuels Innovation
Theia Ventures led a $1 million pre-seed round for EarthSync, with participation from Eximius Ventures. Investors cite confidence in the proprietary AI engine and the teams focus on building the digital backbone for clean energy capital allocation. Funds will accelerate development of the AI engine, expand optimization tools, and scale pilot deployments and regulatory datasets to support broader commercial adoption.
As storage markets mature, AI platforms that tie policy intelligence to techno-economic optimisation will be key to directing capital toward projects that perform on both grid and balance sheet metrics.
