Safe Superintelligence
SSI targets top-tier AI engineers and researchers interested in working on safe superintelligence, as well as investors and partners in the AI infrastructure space.
Overview
Safe Superintelligence Inc. (SSI) is an American artificial intelligence company founded on June 19, 2024, by Ilya Sutskever, Daniel Gross, and Daniel Levy. The company's stated mission is to build safe superintelligence, which it describes as its sole focus and entire product roadmap. SSI operates with offices in Palo Alto, California, and Tel Aviv, Israel, and describes itself as a lean team of engineers and researchers dedicated to this goal. The company has attracted significant investment, including a $1 billion round in September 2024 and a $30 billion valuation in March 2025, and has formed partnerships with Google Cloud and Nvidia to expand its computing resources.
Funding: SSI raised $1 billion in September 2024 and reached a $30 billion valuation in March 2025. Investors include SV Angel, DST Global, Sequoia Capital, Andreessen Horowitz, and Greenoaks Capital.
What it does
SSI is developing safe superintelligent AI systems, approaching safety and capabilities as intertwined technical problems. The company aims to advance AI capabilities as quickly as possible while ensuring safety remains ahead, and its business model is designed to insulate safety, security, and progress from short-term commercial pressures. SSI's work involves revolutionary engineering and scientific breakthroughs, and it has secured partnerships with major cloud and hardware providers to support its research and compute needs.
Key features
- Focus on safe superintelligence as the sole product and mission
- Safety and capabilities developed in tandem
- Lean, specialized team of engineers and researchers
- Offices in Palo Alto and Tel Aviv
- Partnerships with Google Cloud and Nvidia for compute
- Business model insulated from short-term commercial pressures
Use cases
- Advancing AI safety research
- Developing superintelligent AI systems
- Recruiting top technical talent for AI research
- Partnering with infrastructure providers for large-scale compute
Pricing
No pricing information is available; the company does not currently offer a commercial product.
Pricing is gathered from the company's public pages and may change. Check the vendor's site before buying.
Pros and cons
Strengths
- Founded by Ilya Sutskever, former chief scientist of OpenAI, lending significant credibility
- Substantial funding and high valuation indicate strong investor confidence
- Clear, singular focus on safe superintelligence
- Strategic partnerships with Google Cloud and Nvidia for compute resources
Limitations
- No public product or service offering yet
- No pricing information available
- Early-stage company with no revenue
- Limited public information on technical progress or milestones
What sets it apart
- World's first 'straight-shot' SSI lab with a singular focus on safe superintelligence
- Approach that treats safety and capabilities as intertwined technical problems
- Business model designed to insulate safety from commercial pressures
Ecosystem
Integrations
Frequently asked questions
What is Safe Superintelligence Inc.?
Safe Superintelligence Inc. (SSI) is an AI company founded in June 2024 by Ilya Sutskever, Daniel Gross, and Daniel Levy, focused on developing safe superintelligent AI.
Who founded SSI?
SSI was founded by Ilya Sutskever, former chief scientist of OpenAI; Daniel Gross, former head of Apple's AI efforts; and Daniel Levy, an investor and former AI researcher at OpenAI.
Where is SSI located?
SSI has offices in Palo Alto, California, and Tel Aviv, Israel.
How is SSI funded?
SSI raised $1 billion in September 2024 and reached a $30 billion valuation in March 2025. Investors include SV Angel, DST Global, Sequoia Capital, Andreessen Horowitz, and Greenoaks Capital.
Does SSI have any partnerships?
Yes, SSI has partnerships with Google Cloud (announced April 2025) and Nvidia (announced July 2026) to expand its compute capabilities.
Sources
This profile was compiled from the company's own pages and public web research.
Last researched August 11, 2026.
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