Assistive Reality ARX
- Project TypeToken
- Platform Ethereum
- Circulating SupplyNone specified
- Total SupplyNone specified
- Max Supply308,000,000
- Primary SectorGaming & VR
Craig has significant experience in corporate channel and sales/marketing strategy with a proven track record of revenue development and C-level relationship management.Craig has worked on a number of software projects in the past offering development input, product refinement and ensuring features are aligned to market demand. Craig is an avid HTC Vive VR user and enjoys simulations such as rFactor2.
Holder of a PhD degree in biology, Qingqing has a strong background in biology research. While studying in one of the best universities in China, Qingqing explored areas of particular interest in neuroscience and further enhanced her knowledge in the study of vertigo from motion as a member of the Neuroscience Group 2007. Qingqing is currently examining the cognitive effect of AR, MR and other blended reality interfaces, and the health impact of AR headset and lens usage.
Travis has significant experience in achieving fundraising and startup targets, having delivered numerous startup technology companies and built a software-as-a-service portal into a major technology company. Travis has worked for tier 1 technology firms for the past 10 years and is now focused on Ethereum blockchain smart contract development, having written ICO smart contracts for ethBet.io, aronline.io and ethPoker.io
Mark combines Microsoft and AWS ecosystem skills with strong international business experience and is able to deliver high quality project results while maintaining a hands-on approach to daily issues in code or design. Mark has a strong interest in workplace and sporting applications of AR and will bring a significant skillset to bear in deploying AR/MR/VR technology.
Questions and Answers
- 8 of 27 Team Members Verified
- Company Verified
- KYC Interview Conducted
Our proprietary TrustScore algorithm uses artificial intelligence machinery and combines dozens of data points including ID verification of every team member, company verification data, video interview with the project directors and dozens of additional data points offered by the projects such as social media profiles, white paper, questions and answers and many more to calculate the TrustScore.
A = Excellent
B = Good
C = Average
D = Below Average
E = Low