Marcello De Bernardi

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Marcello De Bernardi
OccupationCo-founder and CTO of Plexe AI
Known forPlexe AI

Marcello De Bernardi is a London-based technology executive and the co-founder and chief technology officer (CTO) of Plexe AI, a startup that builds open-source agents enabling users to create custom predictive machine learning models from natural language prompts. He co-founded the company alongside Vaibhav Dubey.[1]

Career

Prior to founding Plexe, De Bernardi spent approximately nine years at Expedia Group, where he held several roles of increasing seniority, including ML Scientist III, ML Engineer III, and Manager of ML Engineering. In these positions he worked on production-grade machine learning systems and led engineering teams. Earlier in his career, he worked at Amazon Web Services (AWS), where he developed data science and software engineering capabilities in cloud-based machine learning.[2]

De Bernardi co-founded Plexe AI to simplify the process of building and deploying custom machine learning models. The platform allows users to connect their data, describe the model they need in plain language, and have autonomous agents handle the technical steps — from data quality checks and pattern recognition to model training and deployment. Plexe provides features including data dashboards, API endpoints, batch jobs, file upload, and database connectors, aimed at making ML accessible to enterprises without requiring deep expertise in data science.[3]

Plexe was part of Y Combinator's inaugural Spring 2025 batch and was highlighted by Business Insider as one of the most exciting AI agent startups from that cohort's Demo Day.[4] In August 2025, the company secured a $2.1 million seed funding round, with plans to expand into the United States market and target the retail and banking, financial services, and insurance (BFSI) sectors, as well as pursue a Series A round.[5]

The company has also been described as building autonomous supply chain agents to help logistics and manufacturing companies automate procurement, inventory management, and supplier coordination using artificial intelligence.

References