Elyza vs OpenAI

OpenAI has a disclosed valuation of $852B, while Elyza's valuation is not publicly available, making a direct size comparison difficult. OpenAI employs 4,000 people.

OpenAI has raised more in total funding at $127B, compared to Elyza's $30M — a gap of $127B. Combined, the two companies have completed 10 known funding rounds.

OpenAI leads with an Awaira Score of 98/100, while Elyza sits at 45/100. That 53-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Elyza was founded by Tetsuya Yamada in 2019. OpenAI was founded by Sam Altman in 2015. 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. OpenAI: OpenAI is an artificial intelligence research laboratory founded in 2015 and headquartered in San Francisco. The company develops and deploys large language models and foundation models that power conversational AI applications. Its flagship product, ChatGPT, launched in November 2022 and rapidly became one of the fastest-adopted applications in technology history, reaching 100 million users within two months. OpenAI also offers GPT-4, a more advanced language model, and provides API access to developers through its platform. The company operates in the foundation models category, competing directly with Anthropic, Google DeepMind, and Meta in developing transformer-based large language models. OpenAI's approach emphasizes training increasingly capable models using large datasets and computational resources. Notable applications include content generation, coding assistance, customer service automation, and research support across enterprises and consumer markets. OpenAI has secured substantial funding from diverse sources including Microsoft, which invested $13 billion, making it one of the most heavily funded AI companies. The company's valuation reached $500 billion as of recent funding rounds, reflecting investor confidence in the commercial potential of large language models. The organization transitioned from a non-profit structure to a capped-profit model to facilitate venture capital investment. Growth has accelerated significantly following ChatGPT's release, expanding its user base and enterprise adoption substantially. OpenAI created one of the first large language models to achieve mainstream consumer adoption through ChatGPT, establishing a dominant position in accessible AI applications.

OpenAI got there first, launching in 2015 — that's 4 years of extra runway. Elyza didn't arrive until 2019. 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; OpenAI has about 4,000. 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 OpenAI compete in Foundation Models, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.