Solidus Ai Tech Ltd
Information Technology & Services - London, England, United Kingdom
Solidus Ai Tech Ltd Employees
Solidus Ai Tech Ltd Details
We are actively building a large AI infrastucture and introducing our own ERC-20 token (AITECH), that will allow investors to stake tokens and earn rewards.Governmental Authorities, Megacorps, SME's and Professionals requiring Artificial Intelligence services will be able to access discounts on computing power supplied via our Infrastructure-as-a-Service (IaaS) platform when they utilise our AITECH tokens to purchase AI services. The token utility includes:• Staking to earn rewards• Quarterly Burn Program until our (IaaS) platform goes live • A percentage of AITECH tokens utilised to purchase AI services via our (IaaS) platform will be burned • Purchase AITECH tokens to obtain a discount on the services available via our (IaaS) platformWe will implement the (IaaS) software platform as a Global network of computer resources to match demand for high-power AI software services to encourage users to engage in the Solidus Ecosystem. We will also leverage the developments in Blockchain technology in order to employ computer power using tokens from AITECH, without the need for a centralised payment system. By adding our new AITECH token, we transform the processing power of our data centres, which enables everyone to pay for and utilise a range of AI services.AITECH token will be used as a basic means of payment on the (IaaS) platform, however organizations who want to utilise our services can also pay in Fiat.Soft Galaxy has a pending patent for an AI-based system for support and command of crisis response actions. This software is currently being used by the Quick Responder Agencies in Europe such as the Fire department, Police and Ambulance service to help manage the COVID-19 pandemic.
Solidus Ai Tech Ltd Technologies
Email Providers
Gmail
Load Balancers
Ubuntu
Domain Name Services
Cloudflare DNS
Other
Google Apps
Hosting
CloudFlare Hosting
CSS and JavaScript Libraries
Bootstrap Framework