BorealisAI vs Elyza

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

Elyza has raised $30M in disclosed funding across 0 known rounds. BorealisAI's funding history is not publicly available.

BorealisAI holds the higher Awaira Score at 55/100, compared to Elyza's 45/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 10-point gap that reflects meaningful differences in scale or traction.

BorealisAI was founded by Russ Salakhutdinov in 2018. Elyza was founded by Tetsuya Yamada in 2019. Visit each company's profile on Awaira for a full founder biography.

BorealisAI: Borealis AI is the AI research laboratory of Royal Bank of Canada, conducting fundamental and applied machine learning research with a focus on financial AI applications including time series forecasting, anomaly detection, natural language processing for financial documents, and AI fairness in credit and fraud decision systems. The Toronto-based lab collaborates with academic institutions and publishes research while developing AI capabilities deployed across RBC banking and capital markets operations.\n\nFully funded by Royal Bank of Canada, one of Canada largest financial institutions, Borealis AI operates without external investment, accessing the capital resources and data infrastructure of a tier-one bank for its research programmes. The lab has published extensively in top machine learning venues and developed open-source tools for temporal point processes and probabilistic forecasting that have been adopted by the broader research community.\n\nBorealis AI competes for talent with AI research labs including Vector Institute, Mila, and commercial labs from Google DeepMind and Meta AI that recruit from the same Canadian academic AI talent pool. The RBC affiliation provides access to real financial data at scale that academic labs cannot access, enabling research on problems including financial time series prediction and credit decision fairness that require production-scale data. The lab serves as both a research institution and a talent pipeline for RBC internal AI engineering teams building AI features across the bank retail, wealth management, and capital markets business lines. 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.

BorealisAI was founded first in 2018, giving it 1 year 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.

BorealisAI has approximately 100-500 employees, while Elyza has approximately 1-50. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, BorealisAI and Elyza 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.