BorealisAI vs ModelBest

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

Neither company has publicly disclosed total funding figures. Check our funding history section above for any round-level data we have tracked.

BorealisAI holds the higher Awaira Score at 55/100, compared to ModelBest's 30/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 25-point gap that reflects meaningful differences in scale or traction.

BorealisAI was founded by Russ Salakhutdinov in 2018. ModelBest was founded by Han Xianpeng in 2020. 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. 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.

BorealisAI was founded first in 2018, giving it 2 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.

BorealisAI has approximately 100-500 employees, while ModelBest 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 ModelBest 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.