About Machia Artis

Our team combines visionary leadership with institutional expertise, united by a philosophy where machine learning precision meets the artistry of thoughtful application.

Hamed Naderi Semiromi

Founder & CEO

Hamed began developing Machia Artis in 2017, building on doctoral research in machine learning for FX forecasting. With experience in academic research and investment banking, he combines scientific rigor with institutional insight. Since 2020, he has led development of the dual-AI architecture and oversees research, system design, and strategic direction—ensuring the platform delivers the precision, resilience, and transparency institutional clients require.

David di Benedetto

Co-Founder & COO

David brings 16 years of experience in investment banking. As Co-Founder, he helped establish Machia Artis, shaping its foundation, branding, and strategic direction. Today, as COO, he drives operations, partnerships, and business development, bridging institutional requirements with cutting-edge AI systems.

The journey of Machia Artis began in 2017 as a research initiative addressing inefficiencies in FX forecasting and institutional risk management. Over time, that work evolved through proprietary development and strategic partnerships into a production-grade AI platform designed for institutional deployment. Our platform embodies a balance of innovation and discipline: opportunity identification is separated from real-time risk governance to reflect institutional oversight.

Originally, we explored names like Machina Artis — Latin for "the machine of art." But it lacked a certain edge. We coined Machia Artis: a crafted name that plays on classical roots — μάχη (Greek, "battle") and artis (Latin, "of art"). Together they express our ethos: precise engineering guided by the artistry of application.

We adopt institutional standards for model governance and operations. Strategies are version-controlled with documented changes, monitored through real-time telemetry, and supported by audit trails for signal generation, decisions, and risk events. Our platform emphasizes capital preservation: independent risk controls enforce exposure limits, drawdown discipline, and graceful degradation under stress.