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The archive · AI & Models · Product decision · 2018–2024

ELYZA bets Japanese-language LLMs can beat English-first models; KDDI takes control

Tokyo's ELYZA built Japanese-optimized LLMs claiming GPT-4-level Japanese; KDDI made it a subsidiary in 2024 to sell enterprise GenAI

ELYZA Inc. [株式会社ELYZA]

The betThat Japanese enterprises need LLMs truly fluent in Japanese, so a Tokyo lab can win by optimizing open models for Japanese instead of chasing the English frontier.Scaling

What the business is

Tokyo-based LLM startup (University of Tokyo Matsuo lab spin-off) that builds Japanese-language large language models and enterprise GenAI services (ELYZA LLM for JP, ELYZA Works).

Starting capitalKDDI invested 'several billion yen' [数十億円, on the lower end of the range per KDDI's CEO] for the 53.4% stake; exact amount undisclosed.

How it started

ELYZA was founded in September 2018 by members of the University of Tokyo Matsuo lab and focused on LLM research and enterprise deployment from summer 2019. On 2024-03-12 it released the 70B-parameter ELYZA-japanese-Llama-2-70b, claiming the highest Japanese-language accuracy among domestic models, matching global ones.

What happened

On 2024-03-18 ELYZA, KDDI and KDDI Digital Divergence signed a capital/business alliance: from 2024-04-01 KDDI held 43.4% and KDDI Digital Divergence 10.0%, making ELYZA a consolidated subsidiary while keeping a swing-by IPO path. KDDI said it would build roughly ¥100 billion of compute infrastructure for it and roll out enterprise/local-government GenAI services from spring 2024.

How it ended up

Still running as KDDI's enterprise-GenAI engine: it supplies Japanese LLMs and AI services to enterprises and local governments, with a swing-by IPO as the stated goal.

Background

ELYZA was founded in September 2018 by members of the University of Tokyo Matsuo lab, and from summer 2019 it focused on LLM research and enterprise deployment. Its bet was that Japanese enterprises need models truly fluent in Japanese — something English-first frontier models left on the table — so a small Tokyo lab could win by optimizing open models for Japanese instead of chasing the global frontier.

The approach skipped the most expensive step: instead of pre-training a model from scratch, ELYZA took Meta's open Llama models and added large-scale Japanese pre-training and instruction tuning, with exclusive access to 13% of Japan's AIST ABCI supercomputer supported by METI. In March 2024 it released the 70B ELYZA-japanese-Llama-2-70b, claiming the top Japanese-language performance among domestic models.

On 2024-03-18 ELYZA, KDDI and KDDI Digital Divergence signed a capital/business alliance: from April 1, 2024, KDDI held 43.4% and KDDI Digital Divergence 10.0% of ELYZA, making it a consolidated subsidiary while keeping a swing-by IPO path. KDDI — which had no frontier model of its own while NTT (Tsuzumi) and SoftBank built theirs — said it would invest roughly ¥100 billion in compute infrastructure and sell enterprise and local-government GenAI services from spring 2024.

On 2024-06-26 ELYZA released Llama-3-ELYZA-JP-70B and Llama-3-ELYZA-JP-8B, claiming the 70B model matched or exceeded GPT-4, Claude 3 Sonnet and Gemini 1.5 Flash on two Japanese benchmarks (ELYZA Tasks 100, Japanese MT-Bench) as of end-June 2024, and open-sourced the 8B model on Hugging Face.

What has to be true

  • Japanese is hard for English-first models, so generic global LLMs left real accuracy on the table for Japanese enterprises.
  • Building on open Llama models skipped the billion-dollar pre-training step while still producing differentiated Japanese models.
  • Matsuo-lab pedigree plus METI/AIST supercomputer access gave credibility and compute a startup could not buy.
  • KDDI lacked an in-house frontier model while NTT and SoftBank built their own, so buying ELYZA gave instant domestic-LLM credibility.
  • The swing-by IPO structure let ELYZA keep founder-led growth inside a carrier's compute and sales assets.

What can be applied

A small lab can compete by owning a niche giants neglect — Japanese fluency — and by standing on open models to skip the costliest step; the exit was a carrier needing domestic AI credibility.

Aftermath

As of late June 2024, ELYZA operates as KDDI's consolidated subsidiary: it released Llama-3-ELYZA-JP-70B/8B on June 26, 2024 (the 70B offered via API and demo site, the 8B open-sourced on Hugging Face), and is rolling out enterprise and local-government GenAI services with KDDI, including contact-center LLMs developed with Altius Link; a swing-by IPO remains the stated goal.

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