<div id="readability-page-1">Artificial intelligence has ignited the most aggressive physical-infrastructure buildout in modern history. Behind the headlines about trillion-parameter models, GPU shortages, and multi-billion-dollar fundraising rounds is a quieter, more structural truth:<h3>TipRanks Black Friday Sale</h3><ul><li> Claim 60% off TipRanks Premium for the data-backed insights and research tools you need to invest with confidence. </li><li> Subscribe to TipRanks' Smart Investor Picks and see our data in action through our high-performing model portfolio - now also 60% off </li></ul> The future of AI depends on electricity. AI data centers are no longer tech projects — they are industrial complexes consuming hundreds of megawatts, operating like power plants, and behaving with a volatility that grid operators weren't designed to handle. Their demands for real-time orchestration, behind-the-meter optimization, and intelligent control are unprecedented. And now, in a major strategic step, Entero Therapeutics (NASDAQ: ENTO) (ENTO) has announced that its wholly owned subsidiary, Grid AI, has signed a Letter of Intent (LOI) with a stealth hyperscale AI developer building multi-campus, multi-hundred-megawatt facilities in Texas — the new world capital of AI-infrastructure investment. For a company with more than $50 million invested into its industrial-grade software platform — years before this AI-power surge reached critical mass — the timing could not be more aligned. In the last 90 days, Texas has become the epicenter of the fastest scaling physical infrastructure cycle since the shale boom. Recent public announcements include: <h3>• Vantage Data Centers — 1.4 GW &#34;Frontier&#34; Campus ($25B+)</h3> <h3>• Google (GOOGL) — $40B Texas Expansion</h3> <h3>• Meta (META) — ~1 GW AI Campus in El Paso ($1.5B)</h3> And beyond the headline names, multiple stealth hyperscalers — including Grid AI's LOI partner — are securing land, interconnection, and behind-the-meter generation at a pace previously unseen. More than $116 billion in AI-infrastructure commitments have been publicly disclosed in Texas in the last three months alone. Every one of these campuses needs an energy-orchestration layer. Without intelligent controls, these sites cannot operate efficiently, reliably, or profitably. That is the layer Grid AI provides. Grid AI's newly signed LOI secures its intended integration into a developer building: <ul> <li>Multi-hundred-megawatt AI campuses</li> <li>A phased, multi-site development pipeline</li> <li>On-site generation + storage assets</li> <li>Market-participating flexible load</li> <li>GPU-dense compute with extreme volatility characteristics</li> </ul> This is not a test deployment. It is a strategic control-layer partnership anchored into the early architecture of a hyperscale energy-park design. Entero has confirmed that this is one of several such opportunities in Grid AI's pipeline. The identity of the customer remains confidential, but the scale is unmistakable — consistent with the Texas mega-projects dominating today's AI-infrastructure narrative. A Deeply Engineered Industrial Platform — Not a Beginner Grid AI is not a newcomer trying to ride an AI hype cycle. The company has: <ul> <li>More than $50 million of software R&amp;D invested since 2019</li> <li>A real-time dispatch engine for multi-asset coordination</li> <li>A proprietary Dynamic Load Shaping™ system designed for GPU-induced volatility</li> <li>An orchestration platform spanning generation, storage, market bidding, forecasting, and flexible load control</li> <li>Architecture built for 24/7, mission-critical, industrial-grade performance </li> </ul> This investment puts Grid AI's maturity far ahead of typical pre-revenue SaaS companies. The platform did not appear to chase AI — it was built before the AI buildout, and is only now entering commercialization as the grid hits a breaking point. This is precisely the optics investors want: industrial readiness meeting explosive demand. Entero's PR gives clear visibility into GridAI's first major revenue wave: <ul> <li>~$8 million in annual recurring revenue by 2027</li> <li>Scaling to over $50 million in 2029 as additional campuses within the customer's portfolio come online</li> </ul> This represents a 524% revenue increase from the first full year of ARR (2027 → 2029), or a ~120% compound annual growth rate (CAGR) over that period. That growth is powered by: <ul> <li>Long-term customer lock-in</li> <li>Multi-site deployment</li> <li>Mission-critical reliance (control systems are never swapped out)</li> <li>Incremental revenue with each new campus phase</li> <li>High-margin SaaS economics</li> </ul> This is not a one-off integration fee; It is a multi-year revenue engine, typical of industrial platforms embedded into operations. The $50M+ annualized revenue run-rate is driven by one customer with multiple campuses. Additional LOIs and contracts could multiply this dramatically. To avoid hype it's important to compare Grid AI's category to real public companies. <h3>Mid-Cap Industrial / Energy Software Multiples:</h3> <ul> <li>6×–8× sales — Standard industrial SaaS</li> <li>10×–12× sales — High-growth energy optimization platforms</li> <li>15+× sales — Mission-critical grid and data-center infrastructure software with multi-year visibility</li> </ul> Grid AI is pursuing multi-campus deployments where even a single hyperscale customer can drive annual recurring revenue large enough to justify these mid-cap equivalents. A 10x sales multiple on $50 million in annual revenues would amount to a $500 million implied future market cap. And although today's valuation sits around $8 million, which pales in comparison, there would obviously be share issuances between now and then– but would still amount to impressive gains. AI data-center growth is only part of the equation. Three overlapping sectors are simultaneously inflecting upward: <h3>1. AI Infrastructure Spend — IDC</h3> <ul> <li>IDC forecasts 25%+ annual growth in global AI-infrastructure investment through 2027.</li> </ul> <h3>2. Grid-Edge &amp; DER Orchestration — Guidehouse Insights / Markets&amp;Markets</h3> <ul> <li>These firms forecast 15%–30% annual growth in grid-edge, DERMS, and energy-optimization software through 2032.</li> </ul> <h3>3. AI-Optimized Data Center Power Systems — Precedence Research</h3> <ul> <li>Projected to grow at 20%+ CAGR driven by GPU density and advanced power requirements.</li> </ul> Together, these forecasts outline one of the fastest-growing industrial-software segments of the next decade — with hyperscale AI campuses at the center. To frame the opportunity for investors, it's essential to understand the full AI-infrastructure ecosystem — not just chips, but thermal, networking, interconnects, grid assets, and specialized compute campuses. These companies together define the industrial backbone of the AI revolution: <h3>• NVIDIA (NVDA): The leader in GPUs and accelerated compute powering modern AI clusters.</h3> <h3>• Broadcom (AVGO): Dominant in high-performance switching, networking silicon, and custom ASICs for data centers.</h3> <h3>• Arista Networks (ANET): The gold standard for data-center networking, essential for connecting GPU fabrics at hyperscale.</h3> <h3>• Vertiv (VRT): Now the most influential company in thermal management, cooling systems, and power distribution for AI data centers.</h3> <h3>• Eaton (ETN) &amp; Fluence Energy (FLNC): Key players in grid-level power systems, storage, UPS architecture, and industrial energy optimization.</h3> <h3>• Super Micro Computer (SMCI): A leading supplier of AI server racks, modular GPU chassis, and liquid-cooled compute infrastructure.</h3> <h3>• Applied Digital (APLD) &amp; Iris Energy (IREN): Operators developing large-scale, AI-ready compute campuses — many in Texas — consuming massive amounts of energy.</h3> <h3>• SkyWater Technology (SKYT): A U.S. semiconductor foundry supporting specialized chip manufacturing relevant to advanced compute.</h3> These companies form the broader industrial ecosystem Grid AI plugs into — reinforcing credibility, context, and the scale of the opportunity. AI is no longer just a software story — it's an energy story. Texas is undergoing the largest surge of hyperscale infrastructure development in U.S. history. Grid AI has entered this market with: <ul> <li>A stealth hyperscaler LOI</li> <li>A deeply engineered, $50M industrial software platform</li> <li>A multi-year, multi-campus revenue model</li> <li>A projected annualized recurring revenue ramp from $8M → $50M+</li> <li>One of several deals in its pipeline</li> <li>Perfect timing as AI's physical infrastructure becomes the next trillion-dollar investment wave</li> </ul> When historians look back at the AI revolution, they won't just talk about GPUs or models. They'll talk about the companies that controlled the power, markets, storage, and load orchestration behind the scenes. Grid AI is one of those companies to add to the watchlist.</div>

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Entero Therapeutics' subsidiary, Grid AI, has signed a Letter of Intent with a stealth hyperscale AI developer in Texas. Grid AI's industrial software platform, with over $50 million invested, will provide energy orchestration for multi-campus AI facilities. This partnership is expected to generate significant revenue, with projections of $8 million in annual recurring revenue by 2027, scaling to over $50 million by 2029. Grid AI's platform is designed for mission-critical, industrial-grade performance, positioning it ahead of typical pre-revenue SaaS companies.

NASDAQ: ENTO's Grid AI Strikes Texas Hyperscale Deal as its $50M Industrial Software Platform Enters the AI Race