HGP Intelligent Energy SPAC Deal Values Firm at $1.2 Billion

HGP Intelligent Energy plans a SPAC merger valuing the nuclear services firm at about $1.2 billion as AI data-center power demand rises.

Jason Kwon ·

HGP Intelligent Energy SPAC Deal Values Firm at $1.2 Billion

HGP Intelligent Energy plans a SPAC merger valuing the nuclear services firm at about $1.2 billion as AI data-center power demand rises.

Meshflow supplies public shell

The Dallas-based company would combine with Meshflow Acquisition Corp., a special purpose acquisition company, people familiar with the matter said. The proceeds would help fund technology designed to let nuclear reactors raise or lower output alongside live electricity demand from AI data centers and local grids, the people said.

The people asked not to be named because the discussions are private. Spokespeople for HGP and Meshflow declined to comment, leaving the valuation, timing and transaction structure attributed to people familiar with the planned deal.

The combined company would be called Leyte Parent Inc., the people said. An announcement may come as soon as Tuesday, according to the same people, though blank-check deals can change before signing or public disclosure.

AI load drives nuclear pitch

HGP's pitch sits at the intersection of two infrastructure strains: data centers need more firm power, while nuclear reactors have traditionally been built to run steadily rather than track volatile demand. Large reactors have typically produced gigawatts around the clock, with fossil-fuel plants doing much of the balancing when grid demand rises or falls.

The company says its software and coolant pumps can help nuclear units operate more efficiently by reading electricity flows in real time. The commercial question is whether that control layer can move nuclear generation closer to the flexible operating profile that AI computing sites and grid operators increasingly want.

An HGP memo estimates that AI data centers commonly lose roughly $10,000 to more than $100,000 per megawatt-hour of electricity load when power is unavailable or interrupted. That range is not a marketwide audited figure, but it explains why customers with expensive chips and tight service commitments may pay for more dependable supply.

The sector context is harsher than the financing pitch suggests. Data-center developers are seeking electricity while grid interconnection queues stretch for years in some regions, and new projects face public and regulatory resistance tied to power consumption, water use, emissions, electricity bills, noise and other local disruptions.

Three paths for Leyte

If the merger closes on the terms described by the people, HGP would gain a public-market currency at an enterprise value of about $1.2 billion. For the company, that could finance commercialization work; for the nuclear services sector, it would add another test of whether reactor-adjacent software can attract growth capital.

If AI data-center demand keeps outrunning grid capacity, the macro effect would be higher pressure on power investment, especially for firm low-carbon generation. HGP's technology would then be judged on whether it can reduce lost load at specific sites, while other nuclear suppliers could face more demand for flexible operations, cooling systems and controls.

If regulators or communities slow large data-center and nuclear-linked projects, the macro channel changes from power scarcity to permitting drag. In that case, Leyte Parent would need to prove that its software and pump systems can serve local grids as well as AI campuses, while the wider industry would face longer sales cycles and tougher siting politics.

A third path is more execution-driven: if nuclear operators remain cautious about altering plant operations, adoption may lag even with strong data-center demand. That would leave the global power system relying more heavily on gas plants, batteries and transmission upgrades, while HGP would have to turn a valuation story into signed deployments.

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