Start-up pitch series
SESSION TIME
13:30 - 14:30 (UTC+1)
Parallel Tracks:
Trustworthy AI Engineering
Attend a dynamic pitch session featuring a handpicked selection of startups, each demonstrating their fit to applicability of trustworthy AI into industry.
FOCUS
Pitchs
Deliver AI value in operation with trust, compliance and observability
Julien Chiaroni, Chief Executive Officer | Safenai
Safenai specializes in quality control and compliance to enhance AI performance and reduce business risks, ensuring the effective and safe adoption of AI. Safenai’s solutions focus on providing governance and observability throughout the AI component lifecycle to prevent deviations from intended design.
Building scalable, privacy-respecting AI with synthetic data : an industrial use case
Olivier Breillacq, Founder & CEO | Octopize
Octopize is a French deeptech startup specialized in trusted data anonymization. Thanks to its patented avatar technology, Octopize generates high-quality synthetic data that preserves privacy while maintaining statistical relevance. Originally designed for healthcare, Octopize now helps organizations across sectors — from mobility to insurance — unlock sensitive data for AI, research, or sharing. Its mission: Proven privacy. Unlocked data.
Engineering trust in AI with testing: From regulatory proof of conformity to MLOps realities
Léa Deswarte, AI Testing Team leader | Kereval
Kereval is an independent software quality and testing lab based in France. The company specializes in the validation of critical systems, particularly in healthcare, defense, and artificial intelligence. With over 20 years of experience, Kereval supports clients in improving the reliability, performance, and security of their digital solutions through cutting-edge testing methodologies and tools. Kereval is also actively involved in European research projects and standardization efforts related to software trustworthiness.
How to reconcile trustworthy AI and production?
Matthieu Boussard, Head of AI | Craft AI
With a PhD in AI, he spent 3 years in Japan, researching the behavior of mobile robots with intensive use of GPUs. Back in France, he decided to switch from robots to video games and build AI middleware for non-experts. Inspired by these concepts of explainable and controllable AI, he co-founded Craft AI where he oversees R&D. In this role, he coordinates patent filings and partnerships with other companies and universities. He is currently co-supervising two theses on the subjects of confidentiality and causality. The research carried out at Craft AI has led to numerous publications (ICML, ICLR…). He is also a member of the steering committee of the Systematic data science and artificial intelligence cluster.
Deliver value for field operations through trustworthy visual AI
Nicolas Cubaud, President and founder | EyeSnap
EyeSnap is a Deeptech start-up dedicated to helping field workers through useful, easy-to-use computer vision solutions. We focus on high-precision industries such as nuclear, watchmaking, and industrial manufacturing, where reliability and efficiency are critical. Our mission is to enhance operational performance through trustworthy visual AI technologies.