Startup profile · funding coverage
Nuclearn funding, valuation and investors
AI platform built for nuclear power plant operations, engineering, and regulatory compliance.
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Funding, valuation & investors
Answer-first snapshotLatest funding
Series A
$10.5M · September 2025
Latest known valuation
Not publicly disclosed
Total disclosed equity funding
$11M
Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.
Current status
private
series a · Scottsdale, AZ
Overview
Nuclearn builds secure, on-premise-ready AI software for nuclear professionals — automating operations, engineering, and regulatory workflows. Founded in 2021 by industry veterans including CEO Bradley Fox (ex-Palo Verde), the Phoenix-area company raised a $10.5M Series A in September 2025 led by Blue Bear Capital with SJF Ventures and existing investors AZ-VC and Nucleation Capital, bringing total funding to roughly $13M. The platform serves 70+ nuclear facilities in North America and the U.K. per company materials.
Why Nuclearn is interesting
Scottsdale/Phoenix nuclear-grade AI — $10.5M Series A (Sep 2025) led by Blue Bear Capital with AZ-VC (now Copper Sky Capital) re-upping; domain-specific models for an industry that cannot tolerate generic ChatGPT wrappers.
Product & use cases
Nuclear-domain AI including AtomAssist — private foundation models for operations, engineering, and compliance workflows.
- Nuclear plant operations documentation and search
- Regulatory compliance automation
- Engineering workflow modernization
Key facts
- Phoenix/Scottsdale HQ — nuclear-specific AI platform
- Series A (Sep 2025): $10.5M led by Blue Bear Capital; ~$13M total
- AZ-VC / Copper Sky Capital seed and follow-on participant
- 70+ nuclear facilities on platform (company claim)
Funding history (newest first)
Series A
2025-09 $10.5M- Blue Bear Capital (lead)
- Copper Sky Capital (AZ-VC) (participant)
Investors in our directory
Funds linked from Nuclearn's profile — open a fund page for stage focus and related deal articles.
Competitive landscape
Edge: Nuclear-trained private models with on-prem/Azure Government deployment — safety and compliance bar generic LLMs cannot meet.
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Generic enterprise AI vendors adjacent
Lack nuclear regulatory training data and deployment modes.
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Legacy nuclear software vendors incumbent
Slow UX; Nuclearn pitches AI layer on workflows.
Industries
Market / IPO context
Editorial / static context — not a live quote.
Related funding articles
Venture Capital Tracker pieces that cover Nuclearn's financing or category context.
FAQs about Nuclearn
Practical answers founders, operators, and investors typically search for.
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