David began his career building intelligent robots before moving into finance. Trained in automation and robotics in Italy, he developed AI systems at KUKA and later led autonomous driving research at Volkswagen Group’s VAIVA, publishing work on radar-based perception for self-driving cars. Identifying the risk and automation parallels between self-operating physical systems and quantitative trading, he pivoted his career to implementing AI across investment firms for 6 years before founding Quanted.

As Co-Founder and CTO of Quanted, David now brings that systems-thinking to quantitative investment research, leading the development of technology that lets buy‑side funds discover high‑impact datasets for their theses, models, and strategies in minutes - before committing resources to vendor trials.