About |
Organizations across industries face challenges when adopting AI due to complexities in data management, model development, and secure deployment. Siligen addresses these barriers with an intelligent MLOps platform that streamlines the entire machine learning lifecycle—from design and training to deployment—without the need for advanced coding skills.
While applicable to many sectors, Siligen is particularly impactful in healthcare, enabling researchers and institutions to accelerate breakthroughs in areas like drug discovery, genomic analysis, and predictive diagnostics. The platform helps reduce AI development time by up to 60%, making cutting-edge technologies more accessible and effective.
To ensure trust, transparency, and long-term sustainability, Siligen is powered by a blockchain-based infrastructure built on the Polygon network. The platform uses a native utility token called SIL, which supports governance, rewards, and access to premium features. All 100% of the token supply is subject to vesting, following a structured release schedule over five years, ensuring responsible distribution and protection against market manipulation.
Governance of the platform will be fully decentralized, operating through a DAO where decisions about funding, research priorities, and upgrades are driven by the community and scientific contributors. With this integrated approach—combining AI, blockchain, and transparent tokenomics—Siligen is building a collaborative, secure, and future-ready foundation for AI-powered scientific innovation.