HACARUS to exhibit at Medtec Japan

HACARUS To Exhibit At Medtec Japan

On March 27, 2023, HACARUS will exhibit at Medtec Japan at Tokyo Big Sight from April 19 to 21st. At the booth, HACARUS will exhibit and introduce “HACARUS MD,” an AI platform to support medical diagnosis, and “HACARUS Check,” an AI visual inspection system. 

Exhibit Information

Name: Medtec Japan Exhibition and Seminar on Medical Device Design and Manufacturing

Dates: April 19-21, 2023

Time: [Exhibition] 10:00-17:00

Venue: Tokyo Big Sight, East Exhibition Hall (Click here for access)

Booth No.: 3101 (in East Hall 2)

Organizer: Medtec Japan

For more information, feel free to visit the following site. 


Exhibit Details


“HACARUS MD” is an AI platform that supports medical professionals, using HACARUS’ proprietary AI technology to build highly interpretable AI without using big data. HACARUS MD is characterized by its ability to handle even small amounts of data, and its strength is demonstrated in the medical field, where data collection is difficult.



This AI visual inspection system combines a cooperative robot, an illuminated camera, and high-performance AI inspection software. The system enables 360-degree inspection of three-dimensional objects with complex shapes, such as castings (die-castings, etc.) and pressed products, which have been difficult to inspect in the past, by capturing images from all directions. AI models can be created using our proprietary algorithm with a small amount of good data. Furthermore, no defective product data is required.



HACARUS INC. provides big insights from small data and has since its founding in 2014, supplied solutions in 100+ AI projects across the Medical and Manufacturing fields. Headquartered in Kyoto, Japan, and backed by Osaka Gas and Miyako Capital (Kyoto University), among others, its technology enables humans to make better, faster, and more reliable decisions based on data-driven insights. HACARUS’ proprietary AI engine is built using Sparse Modeling, a method that understands data like a human would – by its unique key features and is far more resource, time, and energy-efficient when compared to Deep Learning. To learn more, visit https://hacarus.com

Subscribe to our newsletter

Click here to sign up