MosaicML vs Silo AI

MosaicML has a disclosed valuation of $1.3B, while Silo AI's valuation is not publicly available, making a direct size comparison difficult. MosaicML employs 75 people.

MosaicML has raised more in total funding at $63M, compared to Silo AI's $60M — a gap of $3M. Combined, the two companies have completed 3 known funding rounds.

MosaicML 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.

MosaicML was founded by Naveen Rao in 2021. Silo AI was founded by Peter Sarlin in 2017. Visit each company's profile on Awaira for a full founder biography.

MosaicML: MosaicML was a foundation model company founded in 2021 that focused on training and deploying large language models efficiently. The company developed technologies and tools for optimizing the training and inference of foundation models, addressing the computational costs and resource requirements associated with building AI systems at scale. MosaicML's core offering centered on its platform for streamlining model development, including techniques for efficient training, fine-tuning, and deployment of large language models. The company positioned itself in the competitive foundation models landscape by emphasizing cost-effectiveness and accessibility, enabling organizations to develop capable models without prohibitive infrastructure investments. MosaicML raised $63 million in total funding and achieved a valuation of $1.3 billion before being acquired, reflecting investor confidence in its approach to model efficiency. The company competed with other foundation model providers and infrastructure companies offering similar optimization capabilities. Its work on techniques like composition and efficient training aligned with broader industry trends toward reducing the environmental and financial costs of large-scale model development. The acquisition represented consolidation within the AI infrastructure and foundation model sector, as larger technology companies sought to integrate specialized expertise in model optimization and deployment into their platforms. MosaicML specialized in making foundation model training and deployment more cost-efficient and accessible through optimization technologies rather than building proprietary models themselves. 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 4 years of additional market experience. MosaicML was founded later in 2021. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

MosaicML has approximately 75 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, MosaicML 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.