
Great Sky
Pioneering a new computing architecture for AI using superconducting optoelectronics.
About
Great Sky is a startup developing a novel computing architecture specifically designed for Artificial Intelligence (AI). Their technology leverages superconducting optoelectronics to achieve significant improvements in speed and energy efficiency over conventional silicon-based hardware.
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Public companies
Both Great Sky and Cerebras Systems are developing novel hardware architectures for AI, with Cerebras offering wafer-scale engines that provide massive on-chip memory and bandwidth, competing for the same high-performance AI computing marke
Competing product: Wafer-Scale Engine (WSE-3)
IBM is developing purpose-built AI chips and accelerators like the Spyre, which competes with Great Sky's goal of providing specialized, high-efficiency hardware for AI workloads.
Competing product: AI Unit / Spyre Accelerator
Key facts
- Website
- greatsky.ai
- Headquarters
- Boulder, United States
- Founded
- 2024
- Total funding
- $20M (Seed)
- Business model
- B2B
Funding rounds
| Date | Round | Amount | Lead investors |
|---|---|---|---|
| 13 Mar 2026 | Seed | $14M | Bison Ventures |
| 22 Sept 2025 | Seed | $6M |
Tech stack
Detected on greatsky.ai, last scanned 29 Oct 2026. Run your own scan
- Frontend
- Next.js, Tailwind CSS
- CDN
- Vercel
- Email provider
- Google Workspace
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Frequently asked
Is Great Sky trustworthy and reputable?
StartupHub's Data Trust & Reputation score for Great Sky is 87 out of 100, a trusted rating, based on site security posture, privacy practices, malware and phishing checks, and public reputation signals.
How much funding has Great Sky raised?
Great Sky has raised a total of $20M in funding. The most recent round on record is Seed.
National Research Laboratories
Confirmed customers of Great Sky.
SEC filings, insider activity, nonprofit links and pay benchmarks for Great Sky:
Company details: from public sources. Funding: no announced round on file. Ownership: not yet claimed by the company. Scores: measured by named tools; each links to its method. Our rules


