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Three Japanese Startup Press Releases Worth Reading: Pet Biometrics, AI Identity Verification, and VTuber Virality Vol. 2

Published2026-01-21Ryuta Hamamoto

Three Press Releases from PR TIMES, Vol. 2. Continuing the series of PR TIMES press release commentary. This week's three.

Three Japanese Startup Press Releases Worth Reading: Pet Biometrics, AI Identity Verification, and VTuber Virality Vol. 2
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This is Hamamoto from TIMEWELL.

Three Press Releases from PR TIMES, Vol. 2

Continuing the series of PR TIMES press release commentary. This week's three:

  1. NGA launches Japan's first pet nose-print authentication in its Pet app
  2. LIQUID adds Japan's first unmanned AI review to LIQUID eKYC
  3. Salome (Nijisanji VTuber) crosses 1 million YouTube subscribers

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1. Pet Nose-Print Authentication: Japan's First

NGA implemented proprietary nose-print recognition technology in its Pet comprehensive app—the first real-world application of this patented approach in Japan. The technology allows individual animals to be identified by the unique pattern of their nose, similar to how fingerprints identify people.

The timing is relevant. Japan recently revised its Animal Welfare Law to require microchip implants and ownership registration for dogs and cats sold at pet shops. For existing pet owners, there's a "best effort" obligation—but the microchip process involves veterinary visits and some friction. A smartphone-based nose-print authentication option provides a lower-barrier alternative that many existing owners are likely to find more approachable.

The underlying technology is interesting in its own right. Biometric identification for animals—once a niche academic area—is now moving into consumer applications. The use cases extend beyond ownership records: lost and found, insurance, and veterinary records are all downstream applications.

2. Unmanned AI Identity Verification: The Gap That Shouldn't Have Existed

LIQUID added unmanned AI review functionality to its LIQUID eKYC (electronic Know Your Customer) service—described as Japan's first fully automated identity verification process.

My reaction: I assumed this had already been solved. If you've used any service requiring identity verification in Japan, you've noticed the lag—upload your documents and wait. What I didn't realize was that the wait often involves a human reviewer in the loop, even in modern eKYC systems.

This is a good example of a pattern worth watching: domains where digitization has advanced significantly, but where a critical step still requires human review. Automating that step—when the AI achieves sufficient accuracy—creates a step-change in user experience and operational cost. The business opportunity isn't always in building something new; sometimes it's in finding the last remaining human bottleneck in an otherwise automated process.

3. Salome's 1 Million Subscribers: The Bandwagon Mystery

ANYCOLOR (which operates the Nijisanji VTuber group) announced that Ichihyakumanten-bara Salome crossed 1 million YouTube subscribers. She debuted on May 21, 2022 as a new member. The growth trajectory was unprecedented within Nijisanji.

My read: this is a textbook bandwagon effect. The bandwagon effect is the phenomenon where something gains support because others are supporting it—people join because others are joining, and the fact of others joining makes it seem more valuable.

What makes this case interesting is the origin of the initial burst. Within Nijisanji, no prior member had triggered this kind of growth curve. Something about Salome's debut—her character, her content, something in the timing—generated enough early momentum to trigger the compounding. Once the first 10,000 or 100,000 people were engaged, the bandwagon took over.

Analyzing how initial viral sparks ignite is one of the genuinely hard problems in community and audience building. Most case studies focus on what happened after the spark—the mechanics of bandwagon effects are well understood. The harder question is always: what caused the first burst?


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This article was produced with the help of AI. A human verified the primary sources and edited the text before publication.

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