Anryze is a new cryptocurrency venture and launching via an Initial Coin Offering (ICO). Anryze and most cryptocurrency start-ups raise capital through an initial coin offering, or I.C.O., a type of fund-raising campaign in which investors buy receive virtual “tokens” using Bitcoin, Ethereum or another cryptocurrency. Anryze and other cryptocurrency start-ups are generally unregulated, used by startups to bypass the rigorous and regulated capital-raising process required by venture capitalists. Why buy Anryze? In Anryze ICO campaign, a percentage of the cryptocurrency is sold to early backers of the project which potentially reaping massive rewards.

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AnryzeToken/Coin ID: RYZ
Platform: Waves
Accepting: BTC, ETH, LTC, WAVES, ETC
Business Category: Cryptocurrency
Launch Date: 2017-09-12 – End Date: 2017-10-12

Anryze Related Links: Anryze Facebook | Anryze Twitter | Anryze Whitepaper

Anryze Market Cap

Distributed computing is cheaper than private monopolized cloud services (Amazon, Microsoft, Google Cloud, Digital Ocean, etc.) due to the lack of administrative costs (data center buildings, personnel, infrastructures) and monopolistically high tariffs for the use of centralized providers. There is no centralized management and distribution of computing power. We offer our customers ready-made integration solutions.

About Anryze

Distributed Network is a globally distributed computer power for Natural Language Processing. We help people to transcribe their voice communications into a text with 1 click as well as provide companies with simple and cheap solution for speech recognition.

We have started our journey with speech recognition systems around 5 years ago while working on our first business venture. We have created world´s first hands and eyes free application to utilize Twitter. After that, we have created two more startups with speech recognition involved.

While working on previous startups, we were using existing solutions and always felt unsatisfied with it. That is how we came up with an idea to make our own unique and disruptive system aimed to understand natural language.

After years of researches and studies we came up with unique combination of technologies used: Wavelet transform – allows to improve recognition by reducing loss of data.

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