1. AI solution provider, HACARUS (Season 12) has Series B to reach a total of 1.3 billion yen (12.5M USD) funding
HACARUS develops AI solutions for medical and industry fields. The strength of HACARUS is its highly interpretive sparse modeling technology, which is good at feature extraction from small amounts of data. HACARUS is applying this sparse modeling technology to AI.
Use of funds raised this time
1) Strengthening R&D in materials informatics (MI) and drug discovery support
2) Hiring business development and consultant personnel to promote joint ventures with major companies
3) Deployment in Europe, North America, and Southeast Asia regions of AI solutions developed for Japan
2. Spectee (Season 2) begins PoC of “Road Surface Assessment Technology” by AI in Fukui Prefecture
Spectee utilizes AI and other cutting-edge technologies to develop technologies related to disaster and crisis management. Among them, “Spectee Pro” , which is the No. 1 Resilience-as-a-Service (RaaS) solution for disaster and crisis management in Japan. Through big data analysis, we provide quick and accurate disaster-related information, infectious disease information, and enterprise risk information, which is used by more than 400 companies and municipalities.
Spectee, the Japan Weather Association and Fukui Prefecture will conduct a demonstration experiment to detect road surface conditions in real time by AI from images obtained from cameras installed on roads between December 2020 and August 2021. We aim to improve the efficiency of snow removal and anti-freeze application work, as well as the safety of traffic by detecting icy road surfaces and snow cover in real time.
3. PicoCELA (Season 11) offers Store Loyalty Enhancement Solution with Wireless LAN System
Using PicoCELA’s wireless multi-stage relaying technology, a simple Wi-Fi environment can be built without LAN wiring, and high-quality, stress-free Wi-Fi can be provided to customers. Furthermore, it was an experiment for stores to use Wi-Fi for their sales and marketing activities.
This time, we displayed a questionnaire screen when customers connected to the Wi-Fi, and by answering the questionnaire, they could use the Wi-Fi. In the survey, we set up items such as purpose of use, gender, and age, and found that “half of the men use the service for meals and half for cafes, but more women use the service for cafes” and “by age, most teenagers use the service for meals, but more people in their 20s and older use it for cafes.