Japan based Withfluence has set up an influencer management platform, while venue marketplace Space Market has closed a $4 million venture investment. The IoT startup LeapMind has also closed a $3.4 million investment round.
Withfluence sets up influencer management platform
Tokyo-based Withfluence launched a platform which connects brands and creators. Beginning operations in May 2016, Withfluence provides services ranging from campaign planning to performance measurements through their dashboard system.
CEO and co-founder Hiroyuki Okamoto says that this move is in response to the growing market for management campaign services.Currently, the platform is compatible with Instagram and is working to achieve similar compatibility with Facebook.
The Withfluence team, spread from Thailand to Taiwan, plans to focus on acquisition of clients both within and outside of Japan, in addition to acquire funding during a seed round before the year is out.
Japan’s Space Market secures $4 million
Space Market, a Tokyo-based company offering unused venues for rental usage, has managed to raise 400 million yen ($4 million) in their latest round of funding led by Opt Ventures with the support of Recruit Strategic Partners, Mizuho Capital, SBI Investment and Orix.
With over 8000 venues listed on their platform, Space Market had previously raised 100 million yen ($1 million) in 2014. The latest investment will see funds spent on improving the quality of human resources alongside system development and marketing efforts that will benefit the business in the long term.
LeapMind closes $3.4m investment
LeapMind has closed a $3.4 million investment. A provider of business solutions with deep learning technologies for enterprise users, it has concluded a funding round from Itochu Technology Ventures, Visionnaire Ventures and Archetype Ventures.
The firm holds technologies enabling calculation/compression and optimisation of networks under frugal computing environments, helping enable deep learning environments in compact computing environments with finite resources.
LeapMind has developed a low-energy miniature external deep learning computer called Black Star which could provide IoT and robotic devices with additional deep learning capabilities.
According to the company, the latest investment will fund research & development of another platform named Juiz System that is aimed at encouraging more enterprises to utilise deep learning technologies.
As an example, LeapMind CEO Soichi Matsuda explains that intelligent products such as an IoT refrigerator could eventually learn to recognise their interior contents and proposes cooking recipes using leftover food. Juiz System is planned for launch within the year.