Veridue, an artificial intelligence-native due diligence and mergers and acquisitions platform focused on renewable energy and data centre assets, has raised a $4 million pre-seed round. The investment was led by Episode 1 Ventures with participation from HTGF and Pi Labs, alongside industry figures including Cameron Hepburn and Jeremy Palmer. The company describes the round as one of the largest ever for energy software in Europe and will use the capital to accelerate the rollout of its transaction platform.
Targeting a growing infrastructure bottleneck
Europe and the United States are experiencing increased demand for renewables driven by data centres, electrification and energy security concerns. At the same time, grid connection delays, planning risks and long development timelines are making ready-to-build and operating assets more attractive to investors. Hybrid projects combining solar or wind with battery storage and evolving revenue models have added further complexity to clean energy dealmaking.
A purpose-built platform for deal teams
Veridue brings deal origination, screening, data rooms, Q&A, due diligence and investment committee materials into a single platform. For investors, independent power producers, lenders and insurers, it offers pipeline management, deal recommendations based on investment criteria and due diligence covering project maturity. The company says buyers can screen 100 times more opportunities and complete parts of the diligence process within hours rather than weeks.
Seller tools and investment readiness
For developers and sellers, the platform provides a data room that automatically organises documents and generates materials including investment-readiness reports, vendor due diligence reports and transaction teasers. These tools are designed to help projects reach investment readiness and identify potential issues earlier in the transaction process. Veridue says this helps sellers become bankable faster, build credibility with buyers and lenders, and secure better offers.
Founder expertise and investor confidence
Founded in 2024 by former McKinsey energy investment advisor Daniel Csonth and former SCOR data science lead Xander van den Eelaart, Veridue was built by industry experts with direct experience in energy infrastructure dealmaking. Csonth said the platform is not simply a chatbot pointed at a data room, but AI trained on a proprietary dataset of real deals and their diligence outcomes. He added that the company combines advanced AI models, proprietary technology and human expertise to deliver traceable accuracy.
Early industry validation
Futureal Energy Partners CEO Daniel Szentirmai said teams still doing diligence manually are losing out to faster AI-enabled players. He noted that Veridue helps cut the time and cost to reach conviction and exclusivity, allowing the firm to identify better opportunities and deploy more capital into higher-quality assets. This early customer feedback reinforces the company's focus on replacing fragmented tools with a single AI-native transaction workflow.
Funding to accelerate commercial rollout
The new funding will support the rollout of Veridue's platform for buyers, investors, lenders and project developers across energy infrastructure transactions. Episode 1 Ventures General Partner Adrian Lloyd said the founders spent two years developing a focused solution designed around how energy infrastructure deals actually work. He added that Veridue is leading in a market expected to spend at least fifteen trillion dollars over the next fifteen years.
Veridue is entering the market at a time when capital is ready but dealmaking remains constrained by manual processes and high opportunity costs. By compressing due diligence timelines and centralising transaction workflows, the company aims to help investors deploy more capital into higher-quality assets while supporting developers in reaching bankability. Its early institutional backing and sector-specific design position the platform to address one of the most pressing operational challenges in the energy transition.