Team
Greger Ottosson, PhD - CEO
Greger Ottosson is an entrepreneurial product leader with a focus on technology-led innovation. During his career, he has built high-performing teams across Europe and the US, implementing enterprise solutions with Artificial Intelligence. At Cube5 AI, Greger is focused on improving business outcomes through automation with Generative AI. Before, Greger served as Chief Product Officer for an AI in private markets, led AI strategy for IBM Digital Business Automation and product managed platforms for Decision- and Business Process Management. Greger has both applied and done research in previous waves of Symbolic AI and Machine Learning, and holds a PhD in Computer Science from Uppsala University in Sweden.
Matthieu Schmit - Head of Services
Matthieu Schmit is an experienced business leader, specializing in global presales, solutions development, and AI technology. With over 30 years of experience in system integration and business process automation, he has held leadership roles at prominent companies like ATOS and Lyance. As Vice President and Head of Consulting at Lyance, Matthieu successfully transformed the business model into a sustainable, customer-focused operation. His expertise spans across customer relationship management, project management, and risk management, with significant achievements in driving innovative cloud and AI solutions. He combines operational, technical, and business acumen to lead high-performing teams and manage large-scale projects across multiple countries.
Jean-Baptiste Noree - Head of Sales
Jean-Baptiste holds a Master's degree in Business and Project Management and began his career in the enterprise software industry as a pre-sales consultant at Cartesis (now SAP). He later transitioned to a high-tech recruitment consultancy, where he served as Managing Director, leading a team of specialist consultants. With extensive expertise in complex sales, Jean-Baptiste plays a pivotal role at Cube5 AI as the Voice of Customer, leveraging his experience of the high-tech industry to ensure that client needs are met with precision and excellence.
Pekka Hedqvist - Head of Business Development
Pekka Hedqvist is a technology leader with expertise in technology, leadership, and business. With a proven track record in product, engineering, and business management, he has built teams and products across the globe, consistently delivering innovative solutions, forging strategic partnerships, and generating new business opportunities.
An expert in public cloud architecture, strategy, and AI solutions, he has helped multiple companies on their AI journeys. He previously held roles at global technology companies such as Skype, Microsoft, and Spotify, and has founded multiple startups. Pekka holds an MSc in Computer Science from Uppsala University in Sweden.
Amine Majdoubi - Head of Engineering
Amine Majdoubi is an experienced technology leader with deep expertise in AI, software architecture and large-scale data engineering. With over 8 years in software engineering and 6 in data science, Amine brings valuable knowledge to Cube5 AI for developing cloud-based applications around Generative AI.
Previously CTO at a mid-sized startup, he led R&D, managed technology strategy, and played a key role in investor and client engagements. Passionate about tackling complex challenges, he focuses on building innovative solutions with real-world impact. Amine holds the Azure Solutions Architect Expert and Databricks Data Engineer Associate certifications, and a Master’s degree in Data Science from École Polytechnique in France.
Technical Advisors
Sergei Rybalko, PhD
Sergei Rybalko, PhD
Sergei Rybalko, PhD
Sergei Rybalko is a leading expert in complexity science and advanced computing. Since 2023, he has been serving as the Lead Data Scientist at SAP Labs France, where he leverages his expertise in data science and artificial intelligence. Prior to this, he worked as the Chief Scientist at a start-up, where he spearheaded the development of advanced natural language processing (NLP) techniques, semantic technologies, and knowledge graphs. His research career includes significant contributions to advancements in neuromorphic computing and nonlinear systems, and his interdisciplinary work spans fields like complex dynamical systems, optoelectronics and bioinformatics when he has held research positions at prestigious institutions, including the French National Center for Scientific Research (CNRS) and top universities in Russia and Japan.
Dan Selman
Sergei Rybalko, PhD
Sergei Rybalko, PhD
Daniel Selman is a visionary technologist in the fields of knowledge representation, reasoning, and software development. As a Distinguished Engineer at Docusign, he is at the forefront of revolutionizing Intelligent Agreement Management, working at the intersection of AI innovation and its practical application.
Prior to his current role, Selman co-founded Clause.io, where he served as the Chief Technology Officer. During his tenure, he did pioneering work on smart legal contract SaaS platforms and blockchain technology.
Furthermore, as the co-founder and maintainer of the open-source Accord Project, Selman continues to drive innovation in data modeling, document automation, and contract editing. Selman’s expertise and entrepreneurial approach have earned him recognition as a thought leader in the intersection of contracts, knowledge representation, and artificial intelligence.
Denis Bayada, PhD
Sergei Rybalko, PhD
Denis Bayada, PhD
Denis Bayada is a computer scientist with a passion for chemistry, biology and technology. With those pillars as a foundation, he has dedicated his career to making insights in chemistry and biology more accessible through computer science, covering areas from drug discovery to metagenomics and intellectual property.
For the past 20 years, Denis has specialized in intellectual property for biological sequences. Recognized for his expertise in sequence alignments, he has been instrumental in assisting numerous clients with their IP challenges. Returning to his early focus on AI, he now concentrates on its applications in intellectual property and document analysis.
As a Technical Board Member at Cube5 AI, Denis brings his extensive experience in AI and intellectual property to support the company’s strategic direction.
Pierre Feillet
Jean-Baptiste Renault, PhD
Denis Bayada, PhD
Pierre is Chief Architect at IBM specializing in Automation Decisioning Technology and Business Automation. He brings Hybrid AI to life in products by integrating symbolic reasoning, machine learning, and Generative AI to enhance decision automation. He has created advanced platforms and frameworks that seamlessly combine workflows, rules, predictions, and prompts, delivering predictive, prescriptive, and generative AI capabilities to automate complex business processes.
He has led cloud transformation initiatives, deploying decision automation on Kubernetes, containers, and Big Data platforms. Pierre bridges academia and industry through impactful collaborations, serving as CTO on innovation projects and supervising PhD with Paris-Saclay and Paris-Sorbonne Universities. His contributions address complex challenges such as logical rule extraction, fraud detection, and decision automation, consistently aligning technical expertise with practical business goals.
Etienne Toussaint, PhD
Jean-Baptiste Renault, PhD
Jean-Baptiste Renault, PhD
Building on his foundational education at ENS Paris-Saclay, Etienne earned a PhD in Data Science from the University of Edinburgh, specializing in formal methods for querying incomplete databases. His postdoctoral research expanded his scope in the field of AI, especially around Knowledge Graphs and Large Language Models (LLMs), contributing to impactful projects, including developing advanced models for the Chilean Ministry of Justice to aid human rights investigators garner insights from historical documents.
Most recently, Etienne worked as a Senior AI Researcher at a finance-focused company, where he applied cutting-edge technologies such as transformers, knowledge graphs, and LLMs to drive innovative decision-making solutions and enhance private equity investment processes.
Jean-Baptiste Renault, PhD
Jean-Baptiste Renault, PhD
Jean-Baptiste Renault, PhD
Jean-Baptiste earned a Master's in Applied Physics from the Ecole Normale Supérieure of Paris-Saclay before obtaining a PhD in Biomechanics from Aix-Marseille Université. His doctoral research involved numerical simulations, data analysis, and deep learning, providing him expertise in statistical modeling and computational techniques. Following his PhD, he further developed his skills as a Senior Data Scientist Consultant for a major French bank, focusing on machine learning model development, Explainable AI (XAI), and MLOps.
Most recently, Jean-Baptiste served as VP of Data Science at a technology firm focused on the private investment sector. In this leadership role, he guided a data science team, defined the AI strategy, and oversaw the end-to-end lifecycle of AI projects. His work spanned predictive analytics, AI agents, and knowledge graphs, contributing to key product developments and strategic initiatives.