Peaknode's Power-First Intelligence Tries to Map the Data Center's Grid Risk

The London startup, founded by a former SSE and bp energy developer, is building a SaaS platform to screen sites and model returns for investors.

About Peaknode

Published

The data center rush is often framed as a land grab, but the real bottleneck is a few feet underground. It’s the grid connection, a tangle of copper, policy, and queue times that can turn a promising site into a stranded asset. In London, a new company called Peaknode is betting that the most valuable intelligence for data center investors isn’t about server racks, but about megawatts and substations.

Founded in 2025 by Adam Fantazi, Peaknode is building a decision-intelligence platform that combines infrastructure data, market benchmarks, and financial modeling into a single workflow [Perplexity Sonar Pro Brief]. Its stated users are investment, finance, and asset-management teams who need to evaluate sites, price risk, and maintain an auditable investment case from initial review to signed lease [Perplexity Sonar Pro Brief]. The company’s core pitch is power-first analysis, arguing that grid constraints and power availability feed directly into the metrics used to assess a project’s ultimate value [Perplexity Sonar Pro Brief].

The founder's energy-market wedge

Fantazi’s background reads like a direct response to the problem. He spent years in commercial roles at SSE, focusing on interconnectors, and at bp, developing offshore wind projects, after starting as a power market analyst [LinkedIn, 2026]. This isn’t a software engineer looking for a problem. It’s an energy developer who saw the data center boom from the grid side and decided to productize his spreadsheet. He formally announced his role as Peaknode’s founder and CEO in January 2026, describing the platform as integrating grid, infrastructure, and site-scoring data to reduce development risk [LinkedIn, January 2026]. The company is incorporated in the UK and reports having between one and ten employees [LinkedIn, accessed 2026] [GOV.UK, 2026].

A workflow for a frothy market

The platform’s proposed workflow targets a specific pain point in a frothy market. When hyperscalers and investment funds are racing to secure sites across Europe and North America, the ability to quickly screen hundreds of locations for viable power access and model the financial impact of grid upgrade delays becomes a competitive advantage. Peaknode aims to provide an independent commercial baseline, a tool to move faster than rivals still relying on fragmented data from consultancies, utilities, and in-house models [Perplexity Sonar Pro Brief].

The competitive landscape for this kind of specialized SaaS is still forming, but the company will face pressure from several angles.

  • Incumbent methodologies. Large investment firms and developers have built internal models and relationships over decades. Convincing them to trust an external platform requires proving superior data freshness, accuracy, and integration.
  • Generalist proptech. Broader commercial real estate analytics platforms could expand into this niche, though they may lack the deep power-market specificity.
  • The consulting gatekeepers. Major engineering and advisory firms currently provide this analysis as high-touch, project-based services. Peaknode’s bet is that the market’ velocity demands a software product.

The unit economics of a megawatt

The early test for Peaknode is straightforward: can it translate a founder’s domain expertise into a product that saves real money? The value proposition hinges on the cost of a mistake. A back-of-the-envelope calculation shows the stakes. A single 50-megawatt data center facility might represent a capital commitment of $500 million or more. A six-month delay in securing a grid connection, or an unanticipated $10 million upgrade cost, can crater project IRRs. If Peaknode’s software can help a fund avoid one bad site decision in a portfolio of ten, the savings would dwarf any plausible SaaS subscription fee. The platform doesn’t need to be perfect, it just needs to be better than the alternative,which, for many, is still a collection of PDFs, spreadsheets, and hopeful calls to the local utility.

The company it must ultimately beat isn’t another startup. It’s the internal spreadsheet, the trusted consultant’s report, and the gut feeling of a real estate scout. Fantazi’s experience suggests he knows what data is missing from those sources. The next twelve months will be about proving he can package it into something an investment committee will buy.

Sources

  1. [LinkedIn, January 2026] Adam Fantazi launch announcement | https://www.linkedin.com/posts/adamfantazi_im-pleased-to-formally-announce-my-role-activity-7417573678776786944-RXzL
  2. [LinkedIn, 2026] Adam Fantazi profile | https://www.linkedin.com/in/adamfantazi
  3. [GOV.UK, 2026] PEAKNODE LTD company information | https://find-and-update.company-information.service.gov.uk/company/16689015
  4. [Peaknode, September 2026] Company about page | https://www.peaknode.io/about

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