The people behind
the re-run.

Anton is an economist, twenty-five years deep in fiscal policy and public finance, with sovereign governments and multilateral institutions as clients. His work wrote Jordan's 2009 income tax law and stood up Bosnia and Herzegovina's first computer-assisted mass property appraisal. He brings the financial-controls discipline banks, insurers and regulators expect.

Peter has operated for fourteen years. He built and ran his own marketing agency and is chief executive of Picas LLC. His job here is to keep a deep-tech roadmap shipping on time, at enterprise reliability, and to move fast without over-promising.

Marisa has spent more than twenty years in governance reform. She led the United Nations' flagship rule-of-law program in Palestine and advised the UN Special Coordinator for the Middle East Peace Process. Now she steers the company's public-policy and multilateral partnerships as AI regulation takes shape. She works in English, French and Arabic.

Shy spent two decades engineering the digital architecture inside Amazon Web Services, SLB, Engie and Schneider Electric. He now pushes corporate sustainability past qualitative disclosure into operational data an investor can check. He is an MIT Fellow, holds two US patents, and co-authored the Springer volume 'Climate Services for the Energy Industry'.

Jon runs the Compute Stream at the Creative Destruction Lab. Before that he led financial-crime and due-diligence work at Protiviti and Exiger in New York, which is the discipline of pinning down where money and risk actually sit. He holds an MBA in finance from UBC's Sauder School, and CFA Level I.

Clive is a biomedical engineer who helped grow Zebra Technologies from a five-million-dollar private company into a billion-dollar public one. He created the ZPL programming language and built Zebra's RFID business. He holds forty US patents and co-invented the ISBT 128 blood-labeling standard, used in more than eighty countries. PhD in engineering, Case Western Reserve.

Chandra is a Senior Lecturer at Monash Business School, a Fulbright postdoctoral fellow at Stanford and guest faculty at UC Berkeley's Garwood Center. She works with US enterprises on adopting and scaling new technology, and she wrote 'But What If I'm Not Elon Musk?!'. She opens doors across APAC and Silicon Valley.

As global chief data officer for sales and marketing at Schneider Electric, Guillaume built the company's first enterprise agentic-AI system. He now leads AI adoption across AVEVA. Earlier, at Majid Al Futtaim, his work added $275 million in revenue over three years. He sits on the United Nations Committee of Experts on Big Data.

Jack is a physicist and full professor at the Politecnico di Torino, and held the endowed chair in experimental oncology at the University of Alberta from 2005 to 2020. He has published more than 650 peer-reviewed papers and holds eight patents. A drug he discovered computationally is now in Phase I and II trials for metastatic bladder cancer.

Rafi has spent more than twenty years in cross-border consulting. He ran Panaly Consulting in Dubai for fourteen of them, advising governments, family groups and brands from Burberry and Bentley to AXA, Turkish Airlines and ADNOC. He opens enterprise and public-sector doors across the Gulf and beyond. MBA, ESSEC.

Mythili leads performance marketing, content, social and short-form video. She has built real audiences from nothing, including one she helped grow past a million followers. This category runs on hype, so her job is the harder one: making the case for evidence in a way that earns attention without overstating it.

Victor trained in micro-engineering and robotics at the École Polytechnique Fédérale de Lausanne, with an exchange year at the University of Waterloo. He builds the re-derivable action logs that turn automated behavior into auditable evidence. His view: a robot that cannot account for what it did has no business being deployed.

Jérémy ties the verification work to the physical and natural-science domains it serves. Natural science runs on one rule: a claim must carry the evidence that made it. Deterministic work gets re-run from its declared inputs; AI shows its work. That is the standard he holds every result to.