Evai.io: A decentralised, autonomous rating system
for the cryptoasset ecosystem

Many of the ratings issues of the past can be attributed to the centralisation of the rating structures which inevitably leads to bias.

Evai.io seeks to decentralise the ratings process by employing a consensus mechanism to drive upgrades and modifications to the ratings process. Through the use of artificial intelligence and machine learning the Evai ratings process remains autonomous—free of human opinion and bias.

Out of the 9,000+ cryptoassets, few provide any real value or use case. Many projects claim to have a “working product,” though quite often that doesn’t necessarily imply any tangible utility.

The Evai.io ratings system accurately assesses the liquidity of thousands of cryptoassets listed on leading exchange platforms.

Liquidity is calculated using a combination of pricing models developed by the renowned financial academic expert, Professor Andros Gregoriou (University of Brighton.)

Evai cryptoasset ratings are based on a multi-factor model that assesses a wide range of financial risks and variables including momentum, systematic risk, sentiment, volatility, liquidity, and behavioural bias to highlight risks and identify long-term asset value.



How can cryptoasset investors avoid risk and identify long term value in the emerging marketplace?

Evai helps investors minimise risk and identify long term value in the cryptoasset sector by providing an unbiased and decentralised ratings system.
Evai.io Business Fundamentals
What makes Evai different?

Development and refinement of in-house algorithmic technologies concentrate on transferability to other asset classes with initial emphasis on cryptoassets.

Artificial Intelligence

Artificial Intelligence is used to select and combine indicators with optimal weights to determine the greatest accuracy of each risk factor. The AI software runs daily tests on all indicators, selecting the most efficient with results recorded.

Machine Learning

Machine learning techniques are implemented to assess the daily test results and modify the parameters of the AI software. The tweaking of the multi-factor model’s selection criteria will continuously improve the overall accuracy over time.


Evai aims to encourage community engagement and development through a distributed token-based governance system allowing EVAI holders to vote and reach consensus on platform upgrades and security protocols as well as vote on which cryptoasset instruments are added to the ratings platform.


Led by Professor Andros Gregoriou (consultant for the CFA, FCA and the London Stock Exchange) we aim to standardise risk measurement, enabling investors to make clear and informed choices when deploying capital.

Rapid Growth

Partnership and joint venture arrangements with leading AI research and development teams.

Infinite Power Factors
Gain unique insights into the cryptoasset market
Explore a multi-factor ratings model built on economic research, machine learning and AI.

Evai ratings draw from an infinite combination of market factors to determine the most statistically
significant in identifying risk and capturing long term asset value.

How easily an asset can be sold, bought or traded.


The ease with which an asset can be bought and sold without impacting the market price. Liquid assets are normally stable, less influenced by market slippage and easily transferred, making them more appealing to traders.

The community consensus toward an asset or market.


The community consensus toward an asset or market. Sentiment can be qualified via psychology-based indicators such and the Fear and Greed index. We seek to capture asset sentiment and identify bullish and bearish biases.

The Sharpe Ratio and how it has changed over time.


Return per unit of risk. This is a fundamental measurement of investment performance. The higher the risk-adjusted return, the better the investment. We use risk measures to identify assets that have performed well compared to those that have underperformed.

The rate of change in an asset’s price movement over time.


The rate of change of an asset's price movement over time. Financial assets experience uptrends and downtrends. Measuring momentum helps ascertain the strength and the continuation of an existing market trend.

Assessing the agility of the cryptoasset and the issuer.


Quantifying utility involves determining asset application, adoption, community engagement and development activity. We can measure asset utility and overall quality by analysing metrics such as the number of active addresses, GitHub pull requests, supply distribution and on-chain volume.

Behavioural Bias
Measuring the effect of behavioural biases on asset value.

Behavioural Bias

Measuring the effect of behavioural biases on asset value. Behavioural economics state that various cognitive biases can introduce market anomalies and impact the intrinsic value of assets. We exploit this hypothesis to measure potential divergences from fundamental value.

The risk of market bubbles and price deflation.


Weighing excess to determine asset bubble risk. An asset bubble caused by over-enthusiastic investors increases the chance of reversal. We seek to gauge the probability of a bubble forming and determine the odds of a significant pullback in price.

Market Risk
Gauging how tied an asset's value is to market fluctuation.

Market Risk

How correlated an asset is to the broader cryptoasset market. When the market risk is high the asset will magnify the performance of the market. This can reflect positively on price in an uptrend but will pose investment challenges in poor economic conditions.

Assets are ranked according to market capitalisation and investigated.


Determined by the current price multiplied by the circulating supply, market capitalisation is an important determinant of cryptoasset value and demand. We rank assets according to capitalisation and use this as an indicator of potential market performance.

Let artificial intelligence and machine learning integrations guide your
experience within Evai’s constantly evolving platform.
Sign-up today and unlock your market potential.
Cryptoassets Rated
Evai’s minimum viable product (MVP) crypto ratings platform launches featuring the following 20 crypto, DeFi and NFT assets. After our MVP phase, the platform will scale at a rate of 300 additional tokens per month.

Bitcoin (BTC)

A cryptoasset invented in 2008 by an unknown person or group of people using the name Satoshi Nakamoto.

Ethereum (ETH)

A global, decentralised platform for money and new kinds of applications.

Ripple (XRP)

A real-time gross settlement system, currency exchange & remittance network by Ripple Labs Inc.

Litecoin (LTC)

Litecoin was an early Bitcoin spinoff or altcoin, starting in October 2011.

Cardano (ADA)

A decentralised public blockchain and cryptoasset project and is fully open source.

Uniswap (UNI)

Uniswap is a popular decentralised trading protocol, known for its role in facilitating automated trading of decentralised finance (DeFi) tokens.

Chainlink (LINK)

Chainlink (LINK) is a decentralised oracle network that aims to connect smart contracts with data from the real world.

Luna (LUNA)

Luna is a blockchain protocol that uses fiat-pegged stablecoins to power price-stable global payments systems.

Aave (AAVE)

Aave is a decentralised finance protocol that allows people to lend and borrow crypto into specially created liquidity pools.

Synthetix (SNX)

Synthetix is a decentralised finance (DeFi) protocol that provides on-chain exposure to a wide variety of crypto and non-cryptoassets.

Yearn.finance (YFI)

Yearn.finance is an aggregator service for decentralised finance (DeFi) investors, using automation to allow them to maximize profits from yield farming.

SushiSwap (SUSHI)

SushiSwap (SUSHI) is an example of an automated market maker (AMM). An increasingly popular tool among cryptoasset users.

Chiliz (CHZ)

Chiliz is one of the largest blockchains for esports and gaming crowdfunding. It allows fans to support their favorite sports teams through blockchain-based interactions.

Enjin Coin (ENJ)

Enjin Coin is a project of Enjin, a company that provides an ecosystem of interconnected, blockchain-based gaming products.

Sandbox (SAND)

The Sandbox is a blockchain-based virtual world allowing users to create, build, buy and sell digital assets in the form of game products.


NFTX is a community-owned protocol and platform for creating non-fungible token (NFT)-backed ERC20 Token products.
BNB Coin

Binance Coin (BNB)

BNB can be used as a payment method, a utility token to pay for fees on the Binance exchange and for participation in token sales on the Binance launchpad.

Polkadot (DOT)

An open-source sharding multichain protocol that facilitates the cross-chain transfer of any data or asset types, making a wide range of blockchains interoperable with each other.


A blockchain protocol that seeks to offer extremely fast transaction speeds by using sharding. The project describes itself as a technology ecosystem for the new internet.

VeChain (VET)

VeChain aims to use distributed governance and Internet of Things (IoT) technology to create an ecosystem, solving major problems with supply chain in management.
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