Perpetuals.com Ltd. (NASDAQ: PDC) and the European Institute of Management (EIM) have launched a joint research group that pairs more than 20 doctoral researchers with Perpetuals to develop AI-powered trading models combining machine learning and crowd intelligence. The initiative, announced in a press release, is expected to run for at least three years and represents a significant collaboration between academia and industry in the rapidly evolving field of AI-driven finance.
The researchers will have access to Perpetuals’ proprietary trading datasets and live venue data, with work focused on behavioral finance, trader performance classification, market microstructure, and model risk. More than half of the participating researchers are currently employed by Perpetuals, indicating a deep integration of the company’s internal expertise with academic research. This structure could accelerate the translation of theoretical advances into practical trading applications.
For business leaders and technology professionals, this development underscores the growing importance of AI in financial markets. By combining machine learning with crowd intelligence, the research aims to improve trading models and risk management. Perpetuals’ flagship platform, Kronos X, already uses advanced AI and data analysis trained on billions of trades, monitoring market activity in real time to identify patterns for trading and risk decisions. The platform offers multi-asset coverage with self-clearing blockchain-based settlement and operates under a licensed European Multilateral Trading Facility (MTF) infrastructure. The company states that its operations are fully compliant with MiFID II, MiCA, DORA, and EMIR regulations.
The collaboration with EIM could lead to innovations that enhance market efficiency and trader performance, while also addressing model risk—a critical concern as AI adoption grows. The focus on behavioral finance and market microstructure suggests an effort to understand not just the technical but also the human elements of trading, which could result in more robust and adaptive systems.
Investors and industry watchers may see this as a strategic move by Perpetuals to solidify its position in the competitive fintech landscape. The company’s global footprint across the United States, Europe, and Asia, combined with its mission to reduce risk and empower retail users, positions it to potentially influence how AI is deployed in trading. The research group’s findings could have broader implications for regulatory practices and the development of ethical AI in finance.
For those interested in following Perpetuals’ progress, the company maintains a newsroom with the latest updates. As AI continues to transform financial services, initiatives like this one highlight the importance of interdisciplinary research and collaboration in driving innovation while managing risk.
