- QDNL Participations
- Posts
- We’re backing Chad Rigetti’s quantum-accelerated AI servers
We’re backing Chad Rigetti’s quantum-accelerated AI servers
Sygaldry has raised $139 million across Seed and Series A

I’m excited to announce that we’re investing in QDNL Participations partner Chad Rigetti’s new company, Sygaldry.
Backing them from the start, we have participated in both the Seed and Series A components of this $139 million raise.
Sygaldry is building quantum-accelerated AI servers to exponentially speed up training and inference. Its servers combine multiple qubit types within a single, fault-tolerant architecture to deliver the combination of cost, scale, and speed necessary for advanced AI applications.
Chad Rigetti said:
“The demand for computing infrastructure is dominated by AI. By using technology and know-how from across the current leading quantum hardware modalities, we are designing systems to meet the specific demands of AI processing, delivered as an accelerator for the GPU pod. This will be a fundamentally more efficient way of converting megawatts into intelligence.”
AI is expected to drive a 165% increase in data center power demand by 2030, requiring an estimated $720 billion in infrastructure investment just to keep pace, according to Goldman Sachs.
As AI continues to scale, the path forward depends not just on building more infrastructure, but on getting fundamentally more out of it. Quantum computing offers a promising solution by applying quantum physics to computation, unlocking more efficient processing for certain tasks.
With this financing, Sygaldry will expand its team of AI researchers and quantum experts, as well as deliver its first full-stack server prototype.
Having known and worked with Chad for years, I can say firsthand that there are few people with his unique mix of scientific depth, entrepreneurial drive, and persistence.
Congratulations to co-founders Chad, Idalia Friedson, and Michael Keiser on the stellar fundraising and we’re looking forward to seeing you serve a real, pressing need in the AI market.
– Ton
