LightOn vs Silo AI

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

Silo AI has raised more in total funding at $60M, compared to LightOn's $60M — a gap of N/A.

Silo AI holds the higher Awaira Score at 60/100, compared to LightOn's 55/100. 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.

LightOn was founded by Laurent Daudet in 2016. Silo AI was founded by Peter Sarlin in 2017. Visit each company's profile on Awaira for a full founder biography.

LightOn: LightOn develops large language model APIs and enterprise AI products for European organisations, building foundation model capabilities with a focus on European data sovereignty, multilingual performance, and on-premises deployment options that address GDPR compliance requirements for French and European corporate clients. The Paris company offers the Alfred enterprise AI assistant and LLM API infrastructure designed for deployment within private European cloud environments.\n\nThe company raised approximately $60 million including a Series B round from investors including BpiFrance and other European technology investors. LightOn has positioned itself as an alternative to US-based LLM API providers for European enterprises with strict data residency requirements, offering French-language performance and European regulatory compliance as primary differentiators. The company serves clients in banking, insurance, and public administration sectors where data sovereignty constraints limit the use of US-hosted AI services.\n\nLightOn competes in the European enterprise LLM market alongside Mistral AI, Aleph Alpha, and the European offerings of OpenAI, Google, and Microsoft Azure. The European sovereign AI market has attracted growing policy attention and funding as the EU AI Act and data localisation regulations create demand for AI infrastructure that can operate entirely within European jurisdiction. LightOn early focus on optical computing for AI workloads has evolved into a software-first model API and enterprise application strategy, reflecting the commercial viability challenges of novel hardware approaches to AI computation. 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.

LightOn was founded first in 2016, giving it 1 year of additional market experience. Silo AI was founded later in 2017. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

LightOn 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, LightOn 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.