Perpetuals.com Ltd. (NASDAQ: PDC) has announced the launch of an on-premises artificial intelligence infrastructure platform specifically designed for hedge funds, proprietary trading firms, and digital asset managers. The platform addresses a critical need in the financial services sector by allowing clients to leverage proprietary data for AI applications without relinquishing control over sensitive information.
The solution is powered by Younet AI's licensed "Forgentiq.ai" technology and delivers secure, purpose-built large language models tailored for quantitative research, market analysis, and trading strategy development. This strategic initiative positions Perpetuals.com to capitalize on growing demand for data-sovereign AI solutions within fintech and digital asset management.
Perpetuals.com Ltd. is a financial technology company that combines blockchain infrastructure and artificial intelligence to transform digital asset trading. The company develops and operates Kronos X, a proprietary multi-asset exchange platform and blockchain-based settlement solution that is fully compliant with European regulations including MiFID II, MiCA, DORA, and EMIR. The company provides financial market infrastructure as a service from Equinix FR2 in Frankfurt, Germany, alongside established platforms like Eurex and Xetra.
This infrastructure enables clients to operate 24/7 trading of crypto spot, derivatives, tokenized securities, and structured products. The company's AI capabilities are built on machine learning analysis of millions of retail trade transactions, resulting in AI-powered risk intelligence designed to analyze trading patterns in real-time.
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The implications of this announcement are significant for financial institutions seeking to maintain competitive advantages through proprietary data analysis while addressing increasing regulatory and security concerns. By offering an on-premises solution, Perpetuals.com enables firms to develop sophisticated trading strategies and risk management tools without exposing sensitive data to third-party cloud environments. This approach could accelerate AI adoption in financial services while addressing data sovereignty requirements that are becoming increasingly important in global regulatory frameworks.
