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Hadrian just raised $1.37 billion to build automated factories that mass-produce parts for the U.S. military supply chain. The Series D values the company at $7.87 billion and pulled in backers ranging from Andreessen Horowitz to Morgan Stanley Wealth Management.
If a factory-automation startup can now command a valuation rivaling most public defense contractors, how much of America’s industrial renewal ends up owned by venture capital instead of traditional prime contractors? Elsewhere, a legendary Google exec just bet his own career on AI doing the experimenting instead of humans, and a stealth optics startup emerged with nearly a billion dollars already spent solving AI’s next physical bottleneck.
In today’s Startup News AI:
Hadrian raises $1.37B for automated defense factories
Jeff Dean leaves Google to launch AI research startup
Lumilens exits stealth with $900M for AI data centers
What’s new? Hadrian raised a $1.37 billion Series D led by WCM Investment Management, Washington Harbour Partners, Valor Equity Partners, 137 Ventures, and Baillie Gifford, valuing the automated-factory builder at $7.87 billion as it races to mass-produce parts for the vehicles the U.S. military already relies on.
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What matters?
The round drew a deep investor bench including Andreessen Horowitz, Founders Fund, Lux Capital, Altimeter, Apollo-managed funds, T. Rowe Price, Morgan Stanley Wealth Management, and CapitalG.
Hadrian builds highly automated factories that manufacture parts for existing military systems rather than new weapons, and in March 2026 opened its fourth facility — a submarine-parts plant in Alabama backed by a $2.4 billion public-private partnership.
The Series D follows a $260 million Series C led by Founders Fund and Lux Capital, bringing Hadrian’s total funding to roughly $2 billion since founding.
Why it matters?
A $7.87 billion valuation for a company that manufactures factory parts, not software, shows investors treating physical AI and automated manufacturing as defense tech’s next frontier. Founders building the infrastructure layer behind reindustrialization now have a fresh valuation benchmark well past the unicorn mark.
What’s new? Jeff Dean, Google’s longtime chief scientist and employee No. 30, is leaving after 27 years to found Discovery Loop, a public benefit corporation building AI systems that automate scientific research, alongside fellow Google veterans Sanjay Ghemawat, Quoc Le, and Oriol Vinyals.
What matters?
The seed round is co-led by Radical Ventures and Khosla Ventures, with Kleiner Perkins, Lightspeed, Doerr Capital, and Alphabet itself all participating — the company declined to disclose terms.
Discovery Loop’s goal is to run thousands of experiments in parallel instead of the human-paced, one-at-a-time research loop that still defines most machine learning work today.
Dean will serve as CEO, taking four of Google and DeepMind’s most senior research minds out the door in a single announcement, with Google supplying compute for at least the first year.
Why it matters?
When a company’s own parent invests in the startup poaching its most senior researcher, it signals Alphabet would rather hold a stake in Dean’s next act than lose him outright. Expect more frontier-lab veterans to test the “AI that improves AI” thesis outside Big Tech’s org chart.
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What’s new? Lumilens emerged from stealth with more than $900 million raised to date, including a $700 million round co-led by Atreides Management, Bain Capital Ventures, Meritech, Seligman Ventures, and Spark Capital that values the optical-networking startup at $5.51 billion.
What matters?
Lumilens is already shipping its first product into a hyperscaler’s live data centers under a multibillion-dollar customer agreement, and says it has received billions of dollars worth of chip orders.
A 400,000-GPU data center requires more than 2.4 million optical transceivers and over five million fiber strands — a supply gap the company’s LumiCore photonics platform is built to close.
CEO Ankur Singla previously sold his last two networking startups, Contrail Systems and Volterra, for a combined $676 million, giving investors a proven exit track record to bet on.
Why it matters?
A $5.51 billion valuation for a company still two to three years from large-scale deployment shows investors front-running AI’s next physical bottleneck the same way they front-ran GPU scarcity. Founders in optical networking and data center hardware now have a fresh comp for just how much capital that thesis can attract.
The Shortlist
Panthalassa nears a $225 million raise at a nearly $2 billion valuation, roughly doubling its worth three months after a $140 million Series B to build wave-powered AI data centers at sea.
Unitree targets a $9 billion valuation in its Shanghai IPO, with DeepSeek investing $20.8 million to jointly develop AI models for the robotics maker’s humanoid line.
Naïve raised a $28.5 million Series A led by Nexus Venture Partners to scale its API for AI agents that handle company incorporation, payments, and infrastructure setup.
Omilia secured a $67 million Series B led by Expedition Growth Capital, growing annual recurring revenue tenfold to $60 million by pairing lightweight automation with LLMs instead of relying on them alone.