The Ozak AI Numbers: $3.64M Raised, $0.012 Price, 937M Tokens Sold, $1.00 Target—Breaking It All Down

Ozak AI combines machine learning, decentralized technology, and robust tokenomics to create an efficient financial analytics ecosystem. With $3.65 million raised, 938 million tokens sold at $0.012, and a clear path to $1.00, the project continues to attract global attention.

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The Ozak AI Numbers: $3.64M Raised, $0.012 Price, 937M Tokens Sold, $1.00 Target—Breaking It All Down
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Ozak AI has become a major topic in the AI and blockchain sectors in 2025. The project has raised $3.65 million from its presale, selling more than 938 million $OZ tokens at $0.012 each. With a $1.00 target listing price, early investors may expect an 8,233% potential return if the goal is met.

Presale Performance and Token Metrics

The presale accounts for 30% of Ozak AI’s total 10 billion tokens. The remaining supply supports community incentives, reserves, liquidity, and the development team. The current phase offers tokens at $0.012, and the next phase will raise the price to $0.014, showing growing demand.

Investors can join using ETH, USDT, or USDC on the Ethereum network. A 10% referral bonus is available for qualifying participants, which has further supported adoption. The presale’s vesting model releases 10% of tokens at listing, followed by a six-month linear unlock after a one-month cliff. This will provide stability and deter early sell-offs.

The project has shown great investor confidence at a cost of 0.012 per token and with 3.64 million already raised. Early investors could realize returns of more than 8,000 percent in case Ozak AI hits its target of a 1.00 listing price, making it one of the most followed AI-based blockchain tokens of the year.

Technology and Features

Ozak AI is a predictive analytics system that is based on a decentralized infrastructure. It integrates both ARIMA and neural networks to provide real-time market predictions. The core system, the Ozak Stream Network (OSN), processes large volumes of live financial data to help traders and institutions make faster, informed decisions.

Built on Arbitrum Orbit, Ozak AI benefits from faster transaction speeds and lower fees. Its Weblume interface allows no-code integration, enabling users to access predictive AI signals, automate analytics, and refine trading strategies easily.

Its Rewards Hub (LIVE) enables staking, governance rewards, and performance rewards, which assist in keeping users engaged. Additionally, the system presents real-time data integration with its partnership with Pyth Network, which offers financial information on over 100 blockchains.

Additional innovative features are predictive financial signals, one-click AI upgrades through SINT, cross-chain bridges, and voice-based interaction features that make automation of trading more accessible and flexible.

Alliances and Ecosystem Growth

Ozak AI has established a number of alliances to enhance its ecosystem. The integration with Pyth Network ensures accurate market data feeds, improving forecast precision. Collaboration with Dex3 enhances liquidity and trading capabilities, while cooperation with Weblume supports seamless dApp integration.

Additional partnerships with Sentient, SOLO, and OpenGPU aim to expand AI computation and scalability. Security audits by Certik and Sherlock confirm the robustness of Ozak AI’s smart contracts, adding transparency to the project’s foundation.

Conclusion

Ozak AI combines machine learning, decentralized technology, and robust tokenomics to create an efficient financial analytics ecosystem. With $3.65 million raised, 938 million tokens sold at $0.012, and a clear path to $1.00, the project continues to attract global attention. Supported by key partnerships, AI-driven tools, and strong investor interest, Ozak AI stands as one of 2025’s most promising blockchain-driven AI ventures.

For more information about Ozak AI, visit the links below:

Disclaimer: Cryptocurrency investments are risky and highly volatile. This is not financial advice; always do your research. Our editors are not involved, and we do not take responsibility for any losses.

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