Safe Superintelligence vs Silo AI

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Safe Superintelligence employs 50-200 people, while Silo AI has 100-500 employees.

Safe Superintelligence has raised more in total funding at $1B, compared to Silo AI's $60M — a gap of $940M.

Safe Superintelligence holds the higher Awaira Score at 80/100, compared to Silo AI's 60/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 20-point gap that reflects meaningful differences in scale or traction.

Safe Superintelligence was founded by Ilya Sutskever in 2024. Silo AI was founded by Peter Sarlin in 2017. Visit each company's profile on Awaira for a full founder biography.

Safe Superintelligence: Safe Superintelligence (SSI) is an AI safety research organization focused exclusively on building safe superintelligent AI systems, operating with a deliberate separation between its safety research mission and commercial product pressure. The company is structured to pursue the long-term goal of superintelligence with safety as the primary engineering and research objective rather than a secondary consideration added to a commercial AI product.\n\nThe company raised approximately 1 billion USD in one of the highest-profile AI funding rounds of 2024, backed by investors including Andreessen Horowitz and Sequoia Capital. SSI was co-founded by Ilya Sutskever, the former OpenAI Chief Scientist and co-inventor of foundational deep learning techniques, and Daniel Gross, giving the organization exceptional technical credibility in the AI safety research community.\n\nSafe superintelligence research represents the frontier of the AI capability development race, where a small number of organizations are competing to determine whether advanced AI systems can be built with verifiable safety guarantees. SSI unusual structure, which deliberately avoids near-term product commitments that could compromise safety research, positions it as one of the most watched AI organizations in the world regardless of near-term commercial output. Silo AI: Silo AI operated as a private European AI lab providing foundation model development, applied AI research, and AI product engineering services to enterprise clients across Europe, building custom AI systems and adapting open-source foundation models for domain-specific applications in manufacturing, healthcare, and financial services. The Helsinki company combined academic research partnerships with commercial AI deployment expertise.\n\nThe company raised approximately $60 million in venture funding before being acquired by AMD in July 2024 for approximately $665 million, one of the largest acquisitions of a European AI company. The acquisition gave AMD an AI software engineering team to develop AI software and tools optimised for AMD Instinct GPU hardware, addressing the critical software ecosystem gap that AMD faces in competing against NVIDIA CUDA in the AI training and inference market.\n\nSilo AI competed in the European AI services and research market alongside AI labs and consultancies, but its acquisition by AMD represented a strategic uplift from commercial AI services to chip ecosystem development. The acquisition price reflected AMD valuation of Silo AI engineering talent and AI model optimisation expertise rather than its revenue run rate, indicating the premium that semiconductor companies are willing to pay to close software ecosystem gaps against NVIDIA dominance. Post-acquisition, the Silo AI team focuses on optimising AI frameworks, model libraries, and developer tools for AMD AI accelerator hardware.

Silo AI was founded first in 2017, giving it 7 years of additional market experience. Safe Superintelligence was founded later in 2024. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Safe Superintelligence has approximately 50-200 employees, while Silo AI has approximately 100-500. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Safe Superintelligence and Silo AI are direct competitors — both operate in the Foundation Models space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.