About Hacarus

Hacarus started out in 2014 as a healthcare AI venture, with a mission to achieve health and a long life through a nutritious diet. From the beginning, we used AI technology (artificial intelligence) to optimize food and nutrition balance on an individual level.

Our main differentiation is our Sparse Modeling methodology, which works efficiently with small amounts of data. That’s why we call our approach Small Data AI.

We believe that, in the long term, increasing the availability of proprietary technologies helps to advance the human condition, reducing poverty and inequality in the world. Distributing our Sparse Modeling AI to firms creates greater efficiency and productivity in society. In practicality, this translates to being able to better diagnose diseases, learn useful medical insights, and bring cheaper products to consumers through efficient manufacturing practices.

Looking to the future, we plan to extend our technology to an even greater number of sectors and applications to aid in making human lives healthier and longer.

Kyoto head office

Kikusan Bldg. 3F Room 302
112 Machigashiracho Nakagyo-ku
Kyoto-shi Kyoto 604-8206 Japan

5-minute walk west from Karasumaoike Station on the Karasuma Line

Manila branch office

1408-A 88 Corporate Center, 141 Valero Street cor., Sedeño Street, Salcedo Village, Makati City

Hacarus is not only innovating in AI technology – we are also exploring new ways to keep our team healthy and happy.

With our Chief Health Officer, we have put a focus on the well-being of each of our team members. Engineers, who spend many hours every day in front of a computer, are likely to develop back issues from their sitting posture. At the Hacarus office, each team member can take part in exercises several times per week, to avoid such issues.

Our team members are actively engaged in the local and international machine learning community. As part of this engagement, we co-organize the monthly machine learning meetup in Kansai.

We also release some of our software projects as Open Source on GitHub. This way we strengthen our dialog and knowledge exchange with the AI tech community.
Check out our projects on GitHub.