Crypto Trust Network

Crypto Trust Network

Created using Figma
Created using Figma
Introducing the Crypto Trust Network "Helping protect you from cryptocurrency fraud" By combining breach report data, blockchain transactions and machine learning we calculate our key metric: the CTN Trust Rating. Through integration tools the CTN platform allows companies like wallets, exchanges, merchants and debit card services to protect themselves and their customers from fraud, theft and loss by instantly providing 'risk-rating' on a wallet or transaction linked to blacklisted cryptocurrencies.
Risk: High
CTN Token Sale
Jan 21, 2018
Feb 22, 2018
100% completed
Raised funds - no Data
Goal 500.00 USD
Cap 10 500 000.00 USD
  • 1 CTN
    1 USD
Token Details
Accepted Currencies
Company Details
Registered Country
United Kingdom
Additional Details
Platform, Cryptocurrency

About Crypto Trust Network

CTN is a security & trust platform that allows tracking of fraudulent/high-risk cryptocurrency transactions by provides tools for crypto services, exchanges, wallets or merchants to query our platform and gain a ‘trust rating’ on wallets and transactions allowing them to make informed decisions around their own business processes.

The CTN platform is powered by our analysis engine; by combining advanced data aggregation techniques, service breach report analysis, blockchain transaction information, machine learning and our internal algorithm we’re able to calculate an industry leading indicator of wallet & transaction risk through our “CTN Trust Rating.”

Calculated data will then be integrated and built into a range of tools, microservices & APIs for crypto tech companies, wallet providers, exchanges, debit card services to subscribe to. This will allow them to seamlessly integrate into their existing systems and make informed decisions and rules around accepting currency from wallets. From here our data will constantly evolve, improve and offer greater accuracy.

Whether it be an integrated wallet check before a user initiates a transfer, a debit card service wanting to gauge a ‘high-risk’ transaction or an online vendor wanting to be warned of an incoming payment using blacklisted currency CTN’s platform will offer a range of powerful tools to add value and protect customers across a range of services.


  1. Advanced data aggregation, processing and analysis
  2. Machine-learning backed CTN Trust Rating
  3. Instantly flag transactions or wallets linked to blacklisted currency
  4. Full, integrable tools for crypto companies

Technical Info

  1. CTN Trust Rating 1.0 initial release backed by static data with centralised infrastructure
  2. CTN Trust Rating 2.0 backed by machine-learning CTN Insights Engine
  3. CTN transition to decentralised infrastructure

Crypto Trust Network Roadmap

  • January 2018

  • CTN Verified Wallet “greenbar” service development begins
  • February 2018

  • CTN Verified Wallet service – beta offered to initial partners
    CTN Trust rating service development begins
  • March 2018

  • CTN blockchain analysis engine ML initial research & development
    Verified wallet “greenbar” service goes live
  • May 2018

  • CTN Trust rating service beta service offered for initial partners for internal use
    CTN blockchain analysis engine ML beta integration with CTN Trust rating service
  • Read More
  • June 2018

  • CTN Trust rating service live public release using static data sets
  • August 2018

  • Initial node development begins for distributed infrastructure
  • September 2018

  • CTN Trust rating service live integrated to initial CTN blockchain analysis engine
  • October 2018

  • CTN blockchain analysis engine further development and larger ML datasets
  • November 2018

  • CTN Trust rating service 2.0 beta development – integrated with larger data
  • December 2018

  • Initial node beta test released for limited testing integrated to test net


1 118

Crypto Trust Network Team

Verified 0%

Attention. There is a risk that unverified members are not actually members of the team

Jim Dowling
Will Finlayson
Daniel Whyte
Systems Integration
Nash Varghese
Accounts, Admin
Warrick Walter
Machine Learning
Allan Walter
Data Visualisation
Dylan Erskine
Data Analysis
Billy Barrow
Blockchain Specialist
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