MAI – Monolit Artificial Intelligence

Monolit AI develops and researches methods and software that enable machines to perceive their environment, learn, and apply intelligence to perform actions that maximize their chances of achieving defined goals.

To achieve this, MAI employs various equations that, similar to those used in blockchain technology, reduce human error, accelerate transactions, and minimize risks and potential threats.

MonolitChain is a distributed digital ledger in which peer nodes agree on adding blocks to the network chain. These blocks store transactions with unique hash values and timestamps for verification.

As a first- and second-layer blockchain, MonolitChain is immutable and transparent, enhancing the integrity of data used in MAI systems. Through MonolitChain technology, Monolit AI algorithms can access tamper-proof, verifiable data, enabling accurate analytics and increasing the reliability of predictions.

MonolitChain can be used to track and document the movement of internal digital assets within the ecosystem (native security tokens: MONC, USDML, MNFT, MMC, and the native utility token MUT), as well as external cryptocurrencies.

Within the MonolitChain ecosystem, MAI can analyze data, identify patterns or detect anomalies, optimize financial transactions, assist in fraud detection, and enhance risk management.

This creates a strong synergy between blockchain technology and artificial intelligence, both aiming to accelerate and optimize operational workflows.

MAI is an automated system that provides financial guidance and recommendations for managing financial products, investment instruments, and asset portfolios within the MonolitChain ecosystem, with minimal human intervention.

MAI functions as a class of financial advisor, driven by algorithms designed to automatically evolve in line with clients’ strategic goals.

It can respond to real-time market changes and adjust asset portfolios accordingly to meet user requirements.

Monolit AI and MonolitChain are cutting-edge technologies that collectively impact a wide range of human activities, unlock new opportunities, enhance efficiency, and together can lead to more secure, transparent solutions, better risk management, and prevention of potential threats and losses.

Their integration drives the emergence of new trends, the evolution of machine learning models, greater accountability and transparency within the MonolitChain ecosystem, and the growth of the decentralized market.