Ozak AI Raises $1.28 Million in Presale for AI-Powered Financial Predictions

Artificial intelligence is revolutionizing decentralized systems, with a new wave of AI-powered crypto projects emerging. These platforms integrate blockchain technology with practical AI tools, offering more than just speculative trading or hype. They focus on long-term impact projects, such as predictive finance and decentralized machine learning. Leading this innovation in 2025 is Ozak AI, a project dedicated to providing financial insights through predictive analytics and decentralization.

Ozak AI, launched in 2024, is an intelligent platform that offers real-time predictions for financial markets. It leverages machine learning and a decentralized system to deliver fast, accurate, and secure insights. The platform operates on the Ozak Stream Network (OSN), which processes vast amounts of data through a network of interconnected computers, ensuring data security and distribution. Customizable Prediction Agents (PAs) enable users to create AI-driven forecasts without needing coding skills. These agents monitor markets, detect signals, and provide real-time risk indicators. Ozak AI employs various forecasting methods, including ARIMA, linear regressions, and neural networks, for high-precision predictions across different asset types. Additionally, it uses EigenLayer’s Actively Validated Services (AVS) for decentralized forecast validation.

Smart contracts on Ozak AI run on Arbitrum Orbit, ensuring scalability and speed. This setup allows for low-cost governance and automation. The native token, $OZ, grants access to Prediction Agents, governance, and platform rewards. With a presale phase 4 price of $0.005 and a target of $1, demand for OZ is rapidly increasing. Over 17.6 million tokens have already been sold, raising $1.28 million.

Bittensor is a decentralized market for machine learning, operating as an open-source protocol for collaborative model training. Contributors earn TAO tokens based on the value of their outputs. This decentralized AI ownership allows users to access the knowledge base and influence model behavior. TAO tokens are used to rank models and issue permissions, making Bittensor an open AI framework with transparency and self-governing model development.

The Graph is a blockchain data indexing engine that stores and queries data for decentralized applications (dApps). It uses “subgraphs,” which function as open APIs, allowing dApps to query smart contracts efficiently. The protocol runs on GRT, an ERC-20 token used for staking, payments, and governance. Developers utilize The Graph to simplify backend processes and optimize performance in data-heavy environments.

Render Network is a distributed GPU network that connects creators with idle computing power. It enables artists to render complex animations and visual effects faster and more cost-effectively. The network operates on RNDR, a utility token that facilitates payments and rewards for GPU providers. Users can access scalable rendering resources without heavy infrastructure, while node operators earn RNDR tokens by renting out their hardware, creating a self-sustaining rendering marketplace.

NEAR Protocol uses sharding to enhance blockchain efficiency and scalability. By splitting the network into smaller pieces, each node processes only a portion of the total transaction load, reducing computational costs and increasing throughput. NEAR Protocol is a decentralized alternative to cloud providers, designed for fast and secure dApp development and deployment.

Each of these projects leverages AI in decentralized environments, covering various use cases in Web3. From data indexing and GPU sharing to market forecasting and machine learning, they represent the future of decentralized technology. Ozak AI stands out as a leader in utility-focused innovation for financial markets, with its custom Prediction Agents, decentralized infrastructure, and active validation, positioning it as the intelligence core of future financial systems.