Sygaldry raises $139M to bring quantum hardware to AI data centres
What's the deal? Sygaldry Technologies, a startup founded in 2024 by quantum computing veteran Chad RigettiDealroom has a profile for this one. Try Dealroom →, has raised $139M to build quantum-accelerated servers for AI data centres.
The raise comprises a $105M Series A led by Breakthrough Energy VenturesDealroom has a profile for this one. Try Dealroom →, which closed in March 2026, and a $34M seed round led by Initialized Capital, closed in August 2025.
The company designs servers that combine quantum hardware with classical chips, targeting AI data centres. Its pitch: deliver more compute per watt than Nvidia's GPUs, making AI training, inference, and reasoning faster and cheaper.
Why now? AI's energy problem is reaching a breaking point. Breakthrough Energy Ventures managing partner Carmichael RobertsDealroom has a profile for this one. Try Dealroom → argues that the energy intensity of large language models is growing at an unsustainable rate. Sygaldry is betting quantum hardware can break that pattern.
Rigetti left Rigetti Computing — the quantum chip developer he founded in 2013 and took public via SPAC in 2022 — to start Sygaldry with cofounders Idalia FriedsonDealroom has a profile for this one. Try Dealroom → and Michael KeiserDealroom has a profile for this one. Try Dealroom →. The company has operated quietly since 2024; this is its first public disclosure of funding.
What could go wrong? Quantum computing has long promised more than it has delivered. Commercial-scale quantum machines have so far failed to materialise, and Rigetti's own target — machines in commercial production by around 2030 — is an ambitious timeline in a field notorious for delays.
The technology also remains unproven at data centre scale. Sygaldry is working with multiple quantum hardware types, but none has yet demonstrated a clear speed advantage over classical chips for AI workloads in production environments.
The signal: Sygaldry's raise reflects a broader investor bet that AI's infrastructure layer needs a fundamental rethink. As GPU costs and power consumption soar, capital is flowing toward alternative compute approaches — quantum included.
If even a fraction of the efficiency gains Rigetti envisions materialise by 2030, the implications for data centre economics would be significant. The race to power AI is no longer just about more chips; it's about smarter physics.
Sources:
GlobeNewswire
FinSMEs
Fortune
The Quantum Insider
DBusiness Magazine
Chad Rigetti's LinkedIn post
Image credit:
Sygaldry Technologies
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