Daniel Frechen
Founder AI-Based Collections Platform
About Daniel Frechen
Daniel Frechen is an Entrepreneur in Residence at Canastra Ventures, where he is building the next generation of AI-powered fintech solutions for payments, credit, and collections across Latin America. His work is grounded in a clear belief: technology only creates value when it solves concrete problems with empathy, responsible automation, and regulatory awareness.
Previously, Daniel spent more than six years leading the strategic and technical roadmap for assisted and autonomous driving systems at Volkswagen. He built and scaled engineering and UX teams from scratch, delivered cost-optimized ADAS solutions tailored to emerging markets, and navigated complex coordination between global headquarters and local realities. His leadership consistently focused on real-world usability rather than showcase innovation.
Today, Daniel combines this deep corporate experience with startup-speed execution. He validates problems directly with customers, builds MVPs with fast feedback loops, and experiments with behavior-driven AI agents. With hands-on leadership experience across Germany and Brazil, he helps founders and product leaders make better decisions when reliability, scale, and real impact truly matter.
Previously, Daniel spent more than six years leading the strategic and technical roadmap for assisted and autonomous driving systems at Volkswagen. He built and scaled engineering and UX teams from scratch, delivered cost-optimized ADAS solutions tailored to emerging markets, and navigated complex coordination between global headquarters and local realities. His leadership consistently focused on real-world usability rather than showcase innovation.
Today, Daniel combines this deep corporate experience with startup-speed execution. He validates problems directly with customers, builds MVPs with fast feedback loops, and experiments with behavior-driven AI agents. With hands-on leadership experience across Germany and Brazil, he helps founders and product leaders make better decisions when reliability, scale, and real impact truly matter.