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Large Language ModelsAI Watch (Impress)Published: Oct 9, 2026, 19:01 JST

Sakana Namazu adopted for Evidence Finder after 96.4% exam score

Sakana Namazu adopted for Evidence Finder after 96.4% exam score

3 Key Points

  1. What happened

    Sakana AI said on October 9 that its Japan-tuned LLM, Sakana Namazu, has been adopted by Evidence Finder, the doctor-facing evidence search tool from medical-AI company Iris.

  2. Why it matters

    Iris's search-and-verification algorithms combined with Sakana Namazu now power the part that selects, compares and synthesizes papers into answers for doctors.

WHO IT HITSDoctors using Iris's Evidence Finder will get answers drafted by Sakana Namazu, and medical-AI product teams at similar evidence tools may look at Iris's model choice as a reference.

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Context & Analysis

The adoption follows an evaluation process rather than a simple procurement. Iris says the Evidence Finder evaluation model using Sakana Namazu recorded a 96.4% accuracy rate on February's 120th National Medical Licensing Examination, which the company describes as the top score among domestic foundation models designated by METI's GENIAC.

According to Sakana AI, that examination result, together with a qualitative evaluation of actual answers where practical usefulness was recognized, led to the decision to adopt Sakana Namazu for Evidence Finder.

The division of labor is explicit: Iris's search-and-verification algorithms select, compare and integrate relevant papers for a doctor's question, while Sakana Namazu generates the answer. Evidence Finder, provided by the medical-AI company Iris, shows citations and includes a "Verify" feature that automatically checks the existence of the papers the AI cites.

FAQ
What does Evidence Finder do for doctors?
It searches databases such as PubMed for a doctor's question and generates an answer while showing citations, and it includes a "Verify" feature that automatically checks whether the cited papers actually exist.
What did Iris say about Sakana Namazu's exam performance?
Iris says the Evidence Finder evaluation model using Sakana Namazu recorded a 96.4% accuracy rate on February's 120th National Medical Licensing Examination, the top score among domestic foundation models designated by METI's GENIAC.
Which parts of Evidence Finder does Sakana Namazu handle?
Iris's own algorithm selects relevant papers for a doctor's question and compares and integrates them, while Sakana Namazu handles the part that generates the answer.
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