BorealisAI vs DeepSeek

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. BorealisAI employs 100-500 people, while DeepSeek has 150 employees.

DeepSeek has raised $1.1B in disclosed funding across 1 known round. BorealisAI's funding history is not publicly available.

DeepSeek leads with an Awaira Score of 92/100, while BorealisAI sits at 55/100. That 37-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

BorealisAI was founded by Russ Salakhutdinov in 2016. DeepSeek was founded by Liang Wenfeng in 2023. 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. DeepSeek: DeepSeek is a Chinese foundation model company founded in 2023 that develops large language models and AI systems. DeepSeek is funded by High-Flyer, a Chinese quantitative hedge fund co-founded by Liang Wenfeng, who also serves as DeepSeek's CEO. The company has not disclosed specific external funding amounts. DeepSeek operates as a corporate entity focused on creating advanced AI models for various applications. The company develops large language models designed for natural language processing tasks, code generation, and reasoning capabilities. DeepSeek's approach emphasizes efficient model architectures and training methodologies. The company has released models accessible through API interfaces and web platforms, targeting both enterprise and research applications. DeepSeek competes within the global foundation model landscape alongside companies like OpenAI, Anthropic, and other Chinese AI firms. The company positions itself in the rapidly expanding market for accessible AI models, particularly targeting cost-effective deployment and inference. The firm's growth trajectory reflects increased investment in Chinese AI infrastructure and competition in foundation model development. DeepSeek represents part of China's broader push toward AI self-sufficiency and technological advancement in machine learning. Notable aspects include the company's focus on model efficiency and its significant funding round, indicating substantial backing for model development and infrastructure. The company operates in a competitive space where continuous model improvements and capability demonstrations drive market positioning. DeepSeek represents China's emerging capability in developing competitive large language models with substantial capital backing and focus on efficient model architectures.

BorealisAI got there first, launching in 2016 — that's 7 years of extra runway. DeepSeek didn't arrive until 2023. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

BorealisAI has about 100-500 employees; DeepSeek has about 150. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both BorealisAI and DeepSeek compete in Foundation Models, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.