ZGC Inno Town supports blockchain business

( chinadaily.com.cn )

Updated: 2018-04-27

The ZGC Inno Town, a heartland for startups, launched the "33333 Project" to support innovation and entrepreneurship in the blockchain industry on April 26.

The "33333 Project" aims to train 30,000 blockchain-oriented talents, cultivate 3,000 elites in the blockchain business, and incubate 300 blockchain startups and 30 unicorn companies in three years.

The project is a joint effort of ZGC Inno Town, Wanglu Tech, WANCHAIN, WanLab and Chengqu Education.

The ZGC Inno Town launches the "33333 Project" to support the innovation and entrepreneurship of the blockchain industry on April 26. [Photo provided to chinadaily.com.cn]

A special training camp combining online and offline education will be organized every six weeks to train technical blockchain talents. The first training session is scheduled for June 10 to Aug 5.

ZGC Inno Town will partner with elite global blockchain teams to accelerate outstanding blockchain projects such as incubation, finance, the Internet of Things, supply chains, human resources, biomedical products, education, food and public welfare, and to assist blockchain companies to cultivate technical talent.

Each year, the project is expected to incubate four batches of blockchain startups and support them with seed funding, consulting services, and Zhongguancun's high-end innovation resources. It will enable enterprises to grow rapidly by helping them optimize business models, build teams, and create products that meet market needs.

ZGC Inno Town and Wanglu Tech sign a cooperation memo on the "33333 Project". [Photo provided to chinadaily.com.cn]

Covering a planning area of 1.2 million square meters, the ZGC Inno Town was officially operational on Nov 24 last year, and is now home to nearly 500 startups and 4,000 entrepreneurs.

The town has realized the transformation from "co-working" to "co-working + living", allowing startup teams to live and work in the same place in a bid to ease the pressures of expensive accommodation, commercial rental costs and long commutes.