Private banks worldwide are being approached by wealthy individuals who say they became rich by investing in cryptocurrencies. These individuals want their cryptocurrency assets be managed, and naturally go to private banks for that.

So my view’s quite clear. I believe cryptocurrencies, Bitcoin is the first example, I believe they’re going to change the world.
by Richard Brown

    These banks and wealth managers would welcome a tool that can give them a confidence level in the "cleanliness" of funds submitted to them. This tool should also let the customers cherry pick the assets they want to manage. In a nutshell, the tool has to analyze the transaction history of each asset in each wallet/portfolio and compare it against all known Money Laundering schemes, and then issue a report on the risks of handling this kind of resources.

    Our algorithms will enable Real Time API and incrementally calculate the risk rates. One of cornerstone idea is to use transaction data and standard behaviour, then econophysics and stochastic models to group accounts to user.

    We are pioneers in cryptocurrency intelligence and AML policy implementation.

    At this moment in time, blockchain and information revolution have reached its mature phase that enable us to do what was previously dreamed about. Therefore, we must use this chance and set the standards for others to follow.

    Financial institutions must implement AML measures, yet they see it as big expenditures and a loss of time. It is thus an opportunity on which we capitalize, offering services to their compliance department to alleviate the hard work of uncovering suspicious trails the assets have traveled.

      Risk Index

      Address Classification: for the time, we have opted for seven types of cryptocurrency owner groups, and a coloring scheme to foster an intuitive reading of our reports. The information about which owner belongs to which type is gathered by our algorithms as well as in cooperation with state and private agencies who will provide us trustable data of criminal addresses. For some of these types, we can formally declare that they are illegal.

      Our report will show all the data and the risks of accepting this asset. The customer makes the final choice. We’ll use multiple sources of info and we’ll categorize our results in three cases:

      First case: for which we give red flag and guarantee that it’s illegal coins with 100%
      Second case: we’ll assign probability of that it’s illegal coins from 1% to 99%
      Third case: is coins for which we can guarantee that are totally legal, i.e. the risk rate is 0% for the customer to handle this asset.

    Crypto-Compliance Service Modes:

    Our database consists of many types of suspicious activities and schemes, known to have happened before on blockchains, known cases of schemes and frauds published by FinCEN. We combine this data with tagging alert flags, to signal possible money laundering activities.

      Flow Mode

      Our services do real time monitoring of suspicious activities. Fast and quick actions are needed and customers will be informed the very moment the activity is taking place.

      We choose one Target Address and analyze its transaction flows through history.

      For more details look the demo video.

      Grouping Mode

      Grouping algorithm will enable customers: To know with certain probability with whom is owner of certain set of addresses; and to check if the owner has hidden addresses.

      For more details look the demo video.

      KYC Mode

      KYC a.k.a Know Your Customer mode is shared database of already checked customers between different entities with a filter on level of access.

      For more details look the demo video.

    Sum up

    When John Smith comes in a bank and says that he owns 100 BTC on address #12345. The bank official is supposed to know:

    1) Where the coins come from on address #12345; the legality of them as well as the total money flow history through which coins went from moment of mining or STO issuance.

    2) The bank official will also know all the other addresses that John Smith owns (with probability), their balances as well as the legality of the assets on these addresses.

    CRYPTO-COMPLIANCE data sources:

        ■   Proprietary Welles discovery algorithms and analysts
        ■   Public sources
        ■   Honeypots and other active capture sources
        ■   Trusted communities, including law enforcement and regulators
        ■   Welles Crypto Recovery Network
        ■   APWG eCrime Exchange (eCX)

Demo Video - Crypto-Compliance

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Reasons Why Our System is Superior:


Non-equilibrium models which are applied in econophysics, econophysics is an interdisciplinary research field, applying theories and methods originally developed by ​physicists in order to solve problems in ​economics​, usually those including uncertainty or ​stochastic processes and ​nonlinear dynamics​.

Stochastic models

Stochastic optimization methods are ​optimization ​methods that generate and use random variables​. For stochastic problems, the random variables appear in the formulation of the optimization problem itself, which involve random ​objective functions or random constraints. Most notable example is Monte Carlo Simulation.

Machine Learning

Machine learning will give us a deeper view on systems using heuristics models. They don't give analytical answers to our questions but they are useful to assess the probability that some suspicious activities/schemes are taking place and to point to similar cases when similar activities occurred. An information not to be underestimated.


We support next:

We continuously enhance our services to keep up with new threats.

We use simple techniques to hint at suspicious issues. We are built on solid technologies.

  • - The Highest Market Cryptocurrency.
  • - The Smart Contract Wizz Kid.
  • - The Crypto pegged to the US Dollar
  • - Bitcoin with Better Performance
  • - The 4 Billion USD ICO
  • - The Largest Market Share in China
  • - Blockchain based on Haskell

Intuitive Analysis

Interactive data visualization

We’ll offer our customers a set of tools that they will be able to use for detailed analysis, tracing transactions and account with an easy to use graphical interface. User interface will be intuitive in such a way that any bank worker without too much effort could use. It will also offers to remind bank worker of AML laws and terminology. There will not be any of programming or technical jargon that is not from the banking industry. This means that software user interface need to be adapted to our customer’s intuition.

Track Bitcoin and ETH related cyber-threats

A user simply types or pastes a cryptocurrency address or Transaction ID into the Search field. Even with only a partial address, intelligence in the search engine fills in the available valid addresses that match what is entered in the search field.

Search engine then displays a valuable set of basic data attribution data. It then very quickly returns the date and amount of the transaction. Users can then move into the analysis, which starts with a visual representation of the transaction. The users can then step forward and backward in the transaction history of the anchor transaction.

4. Option

In-Depth Transaction Visualization

The platform intuitive user interface makes it easy to perform deeper inspection and analysis of suspicious transactions. Once a transaction is identified as high-risk or non-compliant, the user can click to drill down and look for relationships such as groups, or search back through related transactions or multiple parts of a transaction and uncover any useful pattern.

Our data can be integrated into SIEM or analytics platforms such as Maltego, IBM or Palantir for further analysis and record retention. Data can also be exported in CSV and XML formats.

5. Option