Sakana AI vs Silo AI

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

Sakana AI has raised more in total funding at $200M, compared to Silo AI's $60M — a gap of $140M.

Sakana AI holds the higher Awaira Score at 65/100, 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 5-point gap that reflects meaningful differences in scale or traction.

Sakana AI was founded by David Ha in 2023. Silo AI was founded by Peter Sarlin in 2017. Visit each company's profile on Awaira for a full founder biography.

Sakana AI: Sakana AI develops foundation models using nature-inspired evolutionary and collective intelligence approaches to AI model development, exploring alternatives to the dominant paradigm of scaling single large models toward architectures that combine multiple smaller models or that use evolutionary algorithms to discover model configurations. The Tokyo company was founded by David Ha, former Research Director at Google DeepMind, bringing frontier AI research leadership and international AI community connections to Japan AI startup ecosystem.\n\nThe company raised approximately $200 million in funding from investors including New Enterprise Associates, Lux Capital, and Khosla Ventures, reflecting global investor confidence in the founding team research pedigree. Sakana AI has published research on evolutionary model merge approaches that generate new model capabilities by combining weights from existing trained models without additional training, attracting significant attention from the global AI research community for the technical novelty and practical efficiency of the approach.\n\nSakana AI occupies a distinctive position in the Japanese AI ecosystem as a research-first foundation model lab with global ambitions, combining international founding team credentials with Japan as a base for building AI capabilities outside the US-China AI race dynamic. The company research on alternative model development approaches positions it to contribute fundamental methodological innovations that could influence the broader AI field rather than competing purely on compute scale with OpenAI and Anthropic. 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 6 years of additional market experience. Sakana AI was founded later in 2023. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Both Sakana AI and Silo AI report similar employee counts of approximately 100-500. Team size is often a proxy for operational scale, though lean AI companies can punch well above their headcount.

Yes, Sakana AI 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.