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Aillis
AI-powered medical device for influenza detection
About Aillis
Aillis Inc. is a Japanese medical technology company founded on November 14, 2017, that develops and sells AI-powered medical devices. The company was established by Dr. Sho Okiyama, a former emergency medicine physician, who was inspired to address healthcare disparities he witnessed while working in remote island locations in Japan. He aimed to resolve the dilemma between the broad, generalist knowledge of an emergency doctor and the deep, specialized expertise of specialists, which is often unavailable outside of large university hospitals.
The company's core mission is to democratize healthcare by digitally sharing the advanced skills of experienced physicians through artificial intelligence. Aillis' flagship product is 'nodoca', an AI-powered endoscopic device designed to assist in the diagnosis of infectious diseases by analyzing images of the pharynx (throat) and combining them with patient questionnaire data. The device offers a less invasive and quicker alternative to traditional swab tests for influenza. In April 2022, nodoca received regulatory approval as a new medical device in Japan, and by December 2022, its use for influenza diagnosis became covered by insurance. The product's reach expanded to all 47 prefectures in Japan by 2023. Aillis has since also gained approval for a new AI function to detect COVID-19 using the same technology.
Aillis operates on a B2B model, selling its devices to medical institutions like clinics. The business is built on six core technologies: AI, cloud, IoT, biosensing, edge computing, and medical/regulatory affairs. A key asset is its proprietary database of over two million pharyngeal images, which is continually expanding through clinical use. This database is used to train and improve the diagnostic AI. The company's R&D team includes AI engineers who have won international competitions, demonstrating the high level of its technology. Aillis has raised a total of $36.3M over two Series D funding rounds in 2024 to accelerate R&D and market expansion.
Source: Dealroom company dataAt a glance
- Status
- Operational
- Founded
- 2017
- Headquarters
- Tokyo, Japan
- Employees
- 39
- Open positions
- 2
- Dealroom signal
- 64.7/100
- Industry
- Health
- Sub-industry
- Medical Devices
- Sector
- Health Tech & Medtech, Core AI, Spinout, AI Applications, DT and LS, science-based
- Technology
- Artificial Intelligence, Deep Tech
- Business model
- Manufacturing
- Client focus
- b2b
Knowledge graph
More headlines
Funding history
Company financing events and reported valuations.
| Deal type | Date | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| SERIES DOther financing | Apr 2025 | $49M | $197M | Undisclosed | — |
| SERIES DOther financing | Nov 2024 | $3.3M | $57M | Pegasus Tech Ventures | ↗ |
Growth signals
Latest recorded traffic for Aillis is 8K monthly website visits, down 14% over the last three months. Aillis's team declined 7.1% over the past year.
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Investments and acquisitions
Recent portfolio relationships for companies that also act as investors or acquirers.
Investors
From Dealroom's funding and investor records, grouped by the round each investor first entered.
Seed2 investors entered at this stage
Nissay Capital
Startup World Cup
Series A2 investors entered at this stage
Mirai Creation fund
Cyberdyne
Series B and later9 investors entered at this stage
Beyond Next Ventures
Victory Pharma
Shionogi
Mitsui Sumitomo Insurance Company
Strive
TODA
I-nest Capital
Jsr
Pegasus Tech Ventures
Other known investors5 additional known investors
AIST
J-Startup
HiJoJo Partners
Mitsui Sumitomo Insurance Venture Capital
Z Venture Capital
Source: Dealroom Talent Intelligence.
Global footprint
team presence
Market sentiment
An AI-synthesised read of the highest-engagement posts about Aillis on X, ranked by likes and reposts, corporate channels excluded.
Reading the room on X — pulling top posts and synthesizing themes…
Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
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