ModelBest vs Silo AI

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

Silo AI has raised $60M in disclosed funding across 0 known rounds. ModelBest's funding history is not publicly available.

Silo AI holds the higher Awaira Score at 60/100, compared to ModelBest's 30/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 30-point gap that reflects meaningful differences in scale or traction.

ModelBest was founded by Han Xianpeng in 2020. Silo AI was founded by Peter Sarlin in 2017. Visit each company's profile on Awaira for a full founder biography.

ModelBest: ModelBest is an early-stage Chinese foundation model company focused on developing efficient large language models for enterprise deployment, pursuing model architecture research aimed at improving inference efficiency and reducing the compute requirements for Chinese-language LLM applications. The Beijing company targets enterprise clients seeking to deploy private LLM capabilities without the infrastructure costs associated with the largest-scale foundation models.\n\nThe company is seed stage with backing from Chinese technology investors. ModelBest participates in the Chinese foundation model ecosystem by focusing on efficient model architectures that enable deployment in resource-constrained enterprise environments, a differentiated approach compared to the scale-first strategy pursued by better-funded Chinese foundation model competitors.\n\nModelBest operates in a challenging competitive environment where Chinese foundation model startups are competing against the AI divisions of Alibaba, Baidu, and ByteDance and against each other for enterprise customers and funding. The efficient inference positioning aligns with a genuine enterprise need for LLM capabilities that can run on private infrastructure without hyperscale GPU clusters, a requirement particularly relevant for industries with strict data localisation requirements such as banking and government. The company early stage reflects the rapid proliferation of Chinese AI startups following the generative AI wave of 2023. 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 3 years of additional market experience. ModelBest was founded later in 2020. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

ModelBest 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, ModelBest 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.