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Evident Proof (PreICO)

Data Verification and Proof Services

Evident Proof is a blockchain, Ethereum and token-based service that turns data into immutable proof of evidence chains. We aim to deliver immutable data, provenance and proof services to businesses and enable proof and provenance services to individuals. Many organisations worldwide are increasingly required to justify and verify their data activities. This includes operational data management and data events for compliance, risk verification, business reporting and various other due diligence purposes. We also envisage that the Evident platform will enable individuals to proof chain personal activities and data giving them control of who sees it and when. Evident Proof is a solution that we hope will transform the current industry state of storing proof chains using corruptible logs to using immutable proof chains on block chain. It delivers data that cannot be destroyed or hacked, and a new way to generate wealth from data transactions.

3.7
4 3 expert ratings
Benchy 3.7
Experts
3.9
3.9
3.6
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11 days 19 hours left
2018-07-02 - 2018-07-31
11 days 19 hours left
2018-07-17 - 2018-07-31
Token
EPT
Price
1 EPT = 0.98 USD
Platform
Accepting
ETH, BTC, EUR
Hard cap
48,000,000 USD
Country
Whitelist/KYC
KYC
Restricted areas
USA, Korea, China
More on ICO
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About Evident Proof

Many organisations worldwide are increasingly required to justify and verify their data activities. This includes operational data management and dataevents for compliance, risk verification, business reportingand various other due diligence purposes.

A manufacturer challenged about the sources of their supplies or where their client personal data is stored might respond with an evidenced claim that sources are all from the UK and that client personal data is all stored on UK data centers in compliance with GDPR and PCIDSS standards. A necessary part of their justification is in presenting the evidence and that this evidence is accepted as both sufficient, compliant and correct. This whitepaper describes a service to support such presentation by maintaining immutable chains of evidence seals which can be used to verify evidence when it has to be presented. The service is based on blockchain technology using two blockchains; a public blockchain serves as a system for scrutiny and trust in the log of evidence seals and a private blockchain for speed and a secondary level of verification. When new evidence seals are made the evidence owner receives a receipt with a token to enable Proof Certificates to be obtained at such a time as they may be needed.

Evident is a Blockchain, Ethereum and Token based service that turns data into immutable proof of evidence chains. Evident’s system encrypts your data and data transactions and uses this to generate proof tokens and proof chains. The owners of the data own the tokens. Organisations are able to use data to generate value.

Our service can deliver businesses, organisations and individuals, reporting and immutable proof certificates that we envisage being used as proof of events for compliance, risk analysis, event verification, dispute resolution and eventually as evidence in legal actions. The founders of Evident are Adrian Clarke (ex-Microsoft UK CTO), Dr James Anderson and Dr Ken Boness. Adrian Clarke and Matt Roden are co-founders of Berkshire Cloud Ltd, the company that has developed the Evident service platform. Berkshire Cloud Ltd is trusted to supply software development services to large multinationals such as Microsoft, with in-depth experience in building and deploying large multinational/multi language software platforms. The management team behind Evident has a track record of planning, building and delivering large cross-border software solutions. We have brought this experience to bear in creating a live Evident platform, that can be demonstrated to clients in pre-release beta testing.We will be hosting live online demonstrations of the platform. Dates and times will be announced on our web site and via social media. Our technical whitepaper has been written by computer science academics from Reading University, Dr Ken Boness supported by Dr James Anderson.

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