Sygaldry Raises $105M in Series A Funding

The funding round brings the company’s total funding to $139 million, following a $34 million seed round led by Initialized Capital, with participation from investors including Y Combinator, Rock Yard Ventures, IQT, the University of Michigan, QDNL Participations, Expeditions Fund, 468 Capital, Morpheus Ventures, WTI, Overmatch Ventures, RRE Ventures, and Switch Ventures.

The company plans to use the funds to grow its operations and continue developing its products.

“We are building quantum computers designed for AI processing to create a more efficient way to turn energy into intelligence,” said Chad Rigetti, CEO and co-founder of Sygaldry.

Demand for cheaper, more energy-efficient AI infrastructure is growing rapidly, with an estimated $5.2 trillion needed by 2030 to meet global demand, including about 125 GW of new power capacity.

Sygaldry’s servers are built to support AI training and processing by working alongside traditional data center systems. The company is also developing quantum algorithms that can integrate with the tools AI researchers already use.

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“We are working at the intersection of quantum computing and AI because we believe it will shape the future of technology,” said co-founder Michael Keiser. “Our goal is to improve existing AI methods and also create new quantum-based approaches that go beyond what traditional systems can do.”

“The AI industry is growing quickly and needs better performance with lower energy use,” said Carmichael Roberts at Breakthrough Energy Ventures. “Sygaldry’s approach of bringing quantum technology into AI data centers could help reduce costs and energy use at a critical time.”

About Sygaldry Technologies

Founded in 2024, by Chad Rigetti, Idalia Friedson, and Michael Keiser, Sygaldry Technologies is building AI servers powered by quantum computing to accelerate training and processing. Its servers combine different types of qubits in a reliable system to deliver the speed, scale, and cost efficiency needed for advanced AI applications.

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