Unlock the new era of AI-Blockchain
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Blockchain Alliance

Ainomo uses blockchain technologies as the basis for the development and implementation of secure, scalable and decentralized financial services and products.
FINANCIAL FREEDOM

Integration with financial systems and NomoBank

Ainomo's blockchain technology integrates with traditional financial systems and tools such as bank payments, digital wallets and payment systems. This allows users to seamlessly move between traditional and digital finance, and also expands the use of blockchain technology in everyday life.

A modern approach to Blockchain products

Ainomo's blockchain solutions include encryption mechanisms based on public and private keys

Blockchain architecture at Ainomo

Ainomo uses both public and private blockchains depending on the specific requirements and goals of the project. Public blockchains such as Ethereum are used to create decentralized applications (DApps) and smart contracts that are accessible to a wide audience.

Private blockchains, in turn, are used for internal corporate solutions where controlled access and increased transaction speed are required.

Smart contracts and automation

One of the key features of the Blockchain technology used in Ainomo is smart contracts. These are self-executing contracts with code that automatically executes, controls, or documents events and actions according to the terms of the contract.

Smart contracts allow you to automate processes, reduce the number of intermediaries and costs, and increase the security and reliability of financial transactions.

Consensus technologies

To ensure data consistency and network security, Ainomo uses consensus algorithms such as Proof of Work (PoW) and Proof of Stake (PoS), as well as newer and more efficient mechanisms such as Delegated Proof of Stake (DPoS) and Practical Byzantine Fault Tolerance (PBFT).

The choice of consensus algorithm depends on the specific security, speed and scalability requirements of the blockchain network.
DEVELOPMENT VECTOR

Potential use Blockchain

Transactional Data Analysis

Machine learning algorithms analyze large sets of transaction data on the blockchain, studying their characteristics, such as transaction volume, time, sender and recipient addresses, and history of previous transactions. Using unsupervised learning techniques such as clustering or supervised learning techniques such as classification, models are able to identify anomalies and patterns that indicate suspicious activity.

Price forecasting

Machine learning algorithms are capable of analyzing huge amounts of data and identifying complex patterns and dependencies in real time.

They also analyze news and social media to identify trends and market sentiment. Based on this data, algorithms build mathematical models that can predict future changes in cryptocurrency prices.

Recommendation algorithms

Algorithms process information about users, including transaction history, financial goals, income level, investment preferences and other relevant data. Based on this analysis, the system can generate personalized recommendations for investment strategies, portfolio management and financial planning.

The system can automatically recommend adjustments to the investment portfolio, taking into account changes in the market and the user's individual needs for investment diversification.

RESULTS

Numbers that are impressive

>40B+

Blockchain transactions

85%

Positive coverage ratio

17к+

Ainomo Clients