March 15, 2019

Yume Cloud Inc., a BlockchainHub Startup based in Sunnyvale CA USA, exhibited at SXSW2019 in Austin TX USA. The successful outcome was reported by Global Communications of the Japanese Prime Minister’s Office.

Press release is here.

March 6, 2019

Yume Cloud Inc., IoT startup based in Sunnyvale, CA, USA, founded the Japanese entity, Yume Cloud Japan Inc., in Yamagata University Business Starting Center for Organic Material (YBSC), under BlockchainHub’s incubation program. Yume Cloud Japan has initiated IoT related co-research, and will accelerate new technology development, business creation, collaboration with local enterprises. At this milestone, Yume Cloud completed BlockchainHub’s incubation program, the first case for the program.

Please find the press release by Yume Cloud Japan and BlockchainHub here (sorry only in Japanese).

March 3, 2019

We BlockchainHub, in March 2019, renewed our corporate brand and adopted a new logo.

Our new logo came up as a on-the-grid organized chaos of bicolored thick lines. They represent the decentralization of the blockchain technology as well as the transformation after passing by a crossing, that is reference to the “hub”.  BlockchainHub is a place where people with different backgrounds can meet, learn, work together and add value to each other, a place to provide personal and professional changes.

For the colors, we were inspired by the Japanese traditional colors chart. The corporate color palette is based on shades of konpeki (azure) and beni-murasaki (dark fuchsia). Konpeki brings fresh air to the visuals and refers to blockchain, the technology side of the company. Applied to the hub component, Beni-murasaki (a mix of the Japanese red Beni and Murasaki purple) adds the Japanese traditional values of dignity and nobility, as well as creativity and imagination.

Logo Design by Marcos Sadao Maekawa (DplusM Inc.)

May 23, 2018

Our new generation of decentralized ledger platform, BBc-1 (Beyond Blockchain One), was commercially released (Ver.1.0), applying cross-reference approach.

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