Energy and infrastructure deal intelligence is shifting from manual database search to AI-native decision support as deal teams face faster capital deployment cycles, tighter underwriting windows, and greater pressure to defend valuation, counterparty, and market assumptions with sourced data.

Enerdatics has launched Enerdatics Leap to meet that shift. Leap is an AI-native deal intelligence platform that gives investment, development, advisory, corporate strategy, and infrastructure teams natural-language access to Enerdatics’ proprietary intelligence across M&A, project financings, power purchase agreements, and project-level markets.

The commercial change is clear. Deal teams are no longer short of market information. They are short of fast, defensible answers. A fund screening solar acquisitions in Spain, an advisor mapping BESS buyers in Europe, a developer benchmarking project finance terms in ERCOT, or a corporate strategy team tracking data centre-linked power demand needs more than a filtered export. They need context, comparables, sources, and structured intelligence that can support an investment decision.

Leap is built on CoreData, Enerdatics’ proprietary intelligence platform covering global M&A, project financings, PPAs, and project-level data across renewables, conventional power, hydrogen, CCUS, data centres, and broader power markets. Through a Model Context Protocol server, Leap makes this intelligence accessible inside AI assistants and analytical workflows built on leading model ecosystems, including Anthropic, OpenAI, Google, and Microsoft.

This matters because energy and infrastructure markets are becoming harder to underwrite. Renewable energy M&A is increasingly selective. Enerdatics’ latest renewable energy M&A analysis tracked $87 billion in global deal activity, while recent market data shows buyers concentrating capital around contracted, grid-ready, and advanced-stage assets with near-term monetisation potential. The same discipline is shaping financing, PPA, and project acquisition strategies across solar, wind, BESS, data centres, grid infrastructure, hydrogen, and CCUS.

Leap is designed for this type of market. A user can ask, “Show me solar acquisitions in Spain over the last 24 months with disclosed EV per MW multiples and advisors on each deal,” and receive a structured answer grounded in Enerdatics’ proprietary data. The same workflow can support target screening, valuation benchmarking, buyer and seller mapping, power procurement analysis, project pipeline review, and investment thesis validation.

The platform also reflects a broader change in how deal teams want to work. Most market intelligence platforms were built for manual search, filtering, and export. Leap is built to answer. Each response is designed to include relevant deal comparables, sources, project details, market context, and supporting assumptions, allowing users to defend a conclusion rather than simply retrieve a datapoint.

“We spent five years building the knowledge so clients can get answers in five seconds,” said Mohit Kaul, Founder and CEO of Enerdatics. “Market intelligence should feel less like searching a database and more like asking your sharpest analyst.”

For developers, Leap can shorten the time needed to identify comparable asset sales, active buyers, financing precedents, or PPA benchmarks. A developer looking at solar or storage opportunities can move from broad market scanning to a more focused view of who is buying, where capital is moving, what asset stages are clearing, and which commercial structures are attracting stronger pricing.

For infrastructure funds and private equity investors, the platform supports faster screening of markets, platforms, and projects. Buyers can benchmark acquisition opportunities against comparable transactions, identify valuation signals, map competing investors, and test whether a thesis is supported by actual market activity rather than disconnected market commentary.

For advisors, Leap can improve counterparty mapping, valuation benchmarking, and pitch preparation. Instead of manually searching across fragmented sources, advisory teams can use Enerdatics’ verified intelligence to identify relevant precedents, build buyer lists, compare market activity by region or technology, and support client recommendations with deal-backed evidence.

For utilities and corporate strategy teams, Leap connects market activity with project pipelines, offtake structures, and power demand signals. This is increasingly important as data centre load growth, grid constraints, storage deployment, and power procurement strategies reshape infrastructure investment priorities.

The launch also strengthens Enerdatics’ position as a dataset-of-record provider for energy and infrastructure markets. Enerdatics’ power markets coverage maps more than 4,000 operating and planned data centres representing over 240 GW of cumulative power demand, while its renewable energy datasets track M&A, financings, PPAs, and projects across global markets.

The forward signal is that AI in energy dealmaking will not be defined by generic chat interfaces. It will be defined by whether deal teams can access verified, structured, proprietary market intelligence at the point of decision. Leap gives Enerdatics’ clients that layer: analyst-grade data, human-verified intelligence, and AI-native access inside the workflows where investment, development, and advisory decisions are made.

Ready to get deal-ready answers in seconds? Try Enerdatics Leap and access verified intelligence across M&A, financings, PPAs, projects, and energy market developments through natural language.