About Machia Artis

We develop AI-powered trading systems that unite innovation with discipline.

Leadership

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

Hamed Naderi Semiromi

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

David di Benedetto

Co-Founder & COO

David holds a Master in Financial Engineering and 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. He also serves as Senior Advisor at a FINMA-regulated asset manager.

Jan Zikmunda

Jan Zikmunda

Co-Founder & CFO

Jan brings extensive experience in financial management and corporate governance. As Co-Founder and CFO, he oversees financial strategy, regulatory compliance, and operational efficiency — ensuring Machia Artis maintains institutional-grade financial discipline as the company scales.

Advisory Board

Our advisory board comprises senior professionals from quantitative finance, institutional asset management, and AI research — providing strategic guidance on technology, governance, and market positioning.

Formal announcements forthcoming.

Our Story

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.

μάχη— "battle"

Creative tension; discipline and resolve in decision-making.

artis— "of art"

Crafted application — turning insight into reality.

Our Journey

From academic research to institutional deployment — nine years of continuous development.

2017

Research Foundation

Academic research in machine learning and quantitative finance establishes the algorithmic foundations.

2020

Dedicated Development

Full-time commitment to building production-grade trading systems. Internal capital deployed for live validation.

2022

Infrastructure & Architecture

Core infrastructure built: dual-AI architecture separating signal generation from independent risk governance.

2024

Live Validation

Extended live testing across FX markets. Signal and Risk engines operating independently in production conditions.

2025

Institutional Readiness

Operational framework, compliance standards, and governance structures prepared for institutional partnerships.

2026

Incorporation & Expansion

Machia Artis AG incorporated. Risk Engine v3 deployed — fully redesigned infrastructure with portfolio-level risk governance and expanded FX coverage.

Governance & Commitment

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 disciplined risk management: independent risk controls enforce exposure limits, drawdown discipline, and graceful degradation under stress.