Paul Lagrée is a CTO and founder with 12 years of experience building AI-driven products that turn complex data and compliance workflows into fast, reliable outcomes. Currently leading Tenderbolt AI, he architected an AI platform that slashes RFP/tender response time and improves win rates by automating nuanced compliance and technical writing tasks. His background spans hands-on ML research (PhD-level work), scaling production ML and MLOps across multiple countries at PriceHubble, and early-stage startup CTO roles, giving him both research rigor and product execution chops. Based in Paris, he combines cryptography and data-science training with practical leadership—reorganizing teams, hiring for growth, and embedding reproducible ML practices—to move models from prototype to business impact. Notably, he has repeatedly focused on automating repetitive, high-stakes processes (valuation models, tender responses), turning domain complexity into differentiated product value.
12 years of coding experience
8 years of employment as a software developer
Master's degree Data Science & Machine Learning, Master's degree Data Science & Machine Learning at KTH Royal Institute of Technology
Diplôme d'ingénieur Cryptography, Diplôme d'ingénieur Cryptography at Télécom Paris
French Preparatory Class Mathematics & Physics, French Preparatory Class Mathematics & Physics at Lycée Marcelin Berthelot
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