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Companies

Sygaldry Technologies

Quantum-accelerated servers for AI training and inference

Raised to date

$139M

of $139M offered across 1 Form D filing

Investors
165
Last filed
Apr 14, 2026

About

Sygaldry Technologies builds quantum-accelerated AI servers that speed up AI training and inference while cutting the energy and cost of running large models. Its servers combine multiple qubit types inside a single fault-tolerant architecture so each type's strengths are used and its limits avoided, and the company ships tools that let AI researchers fold quantum capabilities into existing models and workflows. Founded in 2024 by Chad Rigetti (founder of Rigetti Computing), Idalia Friedson (former Chief Strategy Officer at Strangeworks), and AI scientist Michael Keiser, it went through Y Combinator's Spring 2025 batch. It has raised $139 million across a $34 million seed led by Initialized Capital and a $105 million Series A led by Breakthrough Energy Ventures, and operates from Domino's Farms in Ann Arbor, Michigan with a second office in California.

A single fault-tolerant architecture that mixes several qubit types in one server, aimed squarely at AI training and inference workloads in data centers rather than at general-purpose quantum research.

Funding

  • EquityFiled Apr 14, 2026Form D
    $139M/ $139M

Product

Quantum-accelerated AI server

AI compute infrastructure

A server that pairs classical AI compute with quantum processing, combining multiple qubit types in one fault-tolerant architecture to accelerate the training and inference of large AI models.

  • Multiple qubit types combined in a single fault-tolerant architecture
  • Faster fine-tuning of AI models
  • Accelerated token generation for distributed LLMs

Built for

AI research teams and data center operators running large-scale model training and inference

People on file