Elyza vs Silo AI

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Elyza employs 1-50 people, while Silo AI has 100-500 employees.

Silo AI has raised more in total funding at $60M, compared to Elyza's $30M — a gap of $30M.

Silo AI holds the higher Awaira Score at 60/100, compared to Elyza's 45/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 15-point gap that reflects meaningful differences in scale or traction.

Elyza was founded by Tetsuya Yamada in 2019. Silo AI was founded by Peter Sarlin in 2017. Visit each company's profile on Awaira for a full founder biography.

Elyza: Elyza developed Japanese large language models and enterprise AI applications, building on top of open-source models including Llama to create fine-tuned Japanese language variants with high Japanese language quality, and offering enterprise AI services using its Japanese LLM capabilities for customer service, document processing, and content generation applications. The Tokyo company focused on the specific characteristics of Japanese language including script mixing, honorific speech levels, and domain-specific vocabulary.\n\nThe company raised approximately $30 million in venture funding before being acquired by KDDI, the Japanese telecommunications operator, in 2024. The acquisition gave KDDI an in-house Japanese AI capability to deploy across its telecommunications services and enterprise AI offerings for KDDI business customers, as Japanese telecoms operators compete to add AI features to their enterprise service portfolios.\n\nElyza operated in the Japanese LLM market alongside CyberAgent AI Lab, NTT AI research, and the open-source Japanese AI community centred around the National Institute of Informatics. The acquisition by KDDI reflects the pattern of large Japanese corporations acquiring AI startups to accelerate internal AI capability development rather than building Japanese-language AI expertise from scratch. Japanese LLM development requires significant training data in Japanese and expertise in Japanese language evaluation that international foundation model providers building Japanese language versions of their models must develop separately. 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 2 years of additional market experience. Elyza was founded later in 2019. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Elyza has approximately 1-50 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, Elyza 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.