Elyza vs DeepSeek

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Elyza employs 1-50 people, while DeepSeek has 150 employees.

DeepSeek has raised more in total funding at $1.1B, compared to Elyza's $30M — a gap of $1.1B. Combined, the two companies have completed 6 known funding rounds.

DeepSeek leads with an Awaira Score of 92/100, while Elyza sits at 45/100. That 47-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Elyza was founded by Tetsuya Yamada in 2019. DeepSeek was founded by Liang Wenfeng in 2023. Visit each company's profile on Awaira for a full founder biography.

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. 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.

Elyza got there first, launching in 2019 — that's 4 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.

Elyza has about 1-50 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 Elyza and DeepSeek compete in Foundation Models, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.