# Sygaldry

> Sygaldry is building hybrid quantum and classical servers for AI data centers. Its proposed architecture combines multiple qubit types and software tools for AI researchers, with the aim of improving training and inference efficiency. The company has raised $139 million, but has not publicly demonstrated a commercial performance advantage or named paying customers.

- **Founded:** 2024
- **Headquarters:** Ann Arbor, United States
- **Founders:** Chad Rigetti (Co-founder and CEO), Idalia Friedson (Co-founder), Michael Keiser (Co-founder and AI scientist)
- **Products:** Quantum-accelerated AI servers, Quantum integration tools, Quantum AI algorithms
- **Notable:** Raised $139 million across seed and Series A financing by April 2026., Joined Y Combinator's Spring 2025 batch., Established an Ann Arbor headquarters and San Francisco office.

## Products & services

- **Quantum-accelerated AI servers** — In-development hybrid servers designed to sit alongside classical AI infrastructure and combine complementary qubit modalities in a fault-tolerant architecture.
- **Quantum integration tools** — In-development tools intended to let AI researchers bring quantum capabilities into existing models and workflows.
- **Quantum AI algorithms** — Research into algorithms for accelerating existing AI work and developing quantum-native approaches.

## Achievements

- Raised $139 million across seed and Series A financing by April 2026.
- Joined Y Combinator's Spring 2025 batch.
- Established an Ann Arbor headquarters and San Francisco office.

## Latest updates

- **2026-09** — Ann Arbor SPARK profiled Sygaldry's Ann Arbor headquarters and San Francisco office, and reported recruitment support for its growing team.
- **2026-04** — Announced $139 million in cumulative seed and Series A financing for quantum-accelerated AI servers.
- **2026-03** — Closed a $105 million Series A led by Breakthrough Energy Ventures.

## Links

- Website: https://sygaldry.com/
- LinkedIn: https://www.linkedin.com/company/sygaldry-technologies
- Twitter/X: https://x.com/sygaldry_tech
- GitHub: https://github.com/sygaldry-tech

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Profile page: https://yespress.io/sygaldry
Published by YesPress — https://yespress.io
Last updated: 2026-09-28