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Europe's Premier AI Conference

“The beauty of ai-PULSE is that it not only supports Europe's AI ecosystem - it amplifies it!” - Bertrand Lemaire

Republik IT

“France, through events like ai‑PULSE and investments by players like Scaleway, is making a bold bid to become the epicenter of sovereign AI infrastructure in Europe.” - Chris O’Brien

The French Tech Journal

"Scaleway aims to become a key player in artificial intelligence in Europe by offering large-scale GPU cloud infrastructure." - Thierry Derouet

It for Business

Media coverage

Pauline Pham oversees business operations and strategic growth at Dust, a Sequoia-backed AI startup building workplace AI agents from SF and Paris. She leads hiring and organizational scaling as Dust expands across Europe and the US. Prior to Dust, Pauline worked in operational roles at fast-growing technology and strategy companies. She is passionate about building impactful products and empowering everyone with the power of AI.

From single agents to agent fleets: lessons from building Dust's agentic platform

Dr. Antoine Jardin serves as Chief Technology Officer of Arlequin AI, bringing exceptional expertise in algorithmic and statistical sciences to the role. An accomplished engineer and data scientist from CNRS (French National Centre for Scientific Research), he holds a doctorate in algorithmic and statistical sciences.

His influence extends to the national level, having contributed to the definition of France's 2018 National AI Strategy and the implementation of the Jean Zay supercomputer, one of France's most powerful computing resources. These contributions have helped shape the country's artificial intelligence infrastructure and strategic direction.

Prior to his current position, he served as Technical Director of the Radicom project, a notable collaboration between Princeton University and the World Bank.

Inductive learning, AI safety, and superintelligence in the age of disinformation

Arev is a Group Product Manager at VEED.IO, where she works on making video creation as easy and intuitive as possible through AI. She’s passionate about designing experiences that make creativity feel effortless and empower people to express their ideas visually.

From edge inference to generative pipelines: building video AI that works

Dam Mulhem graduated from the Institut Supérieur des Techniques du Son and began his career in the media industry as a Sound and Image Engineer. He then joined Apple, where he took on the role of Training Manager.

In 2015, Dam co-founded XXII alongside William Eldin, taking on the position of Product Director, where he has been shaping innovative solutions at the intersection of technology and creativity.

Thomas Palomares is the team lead and AI Research Engineer for Centaur at Helsing. Centaur seamlessly integrates advanced AI pilots into the cockpits of existing and future fighter aircraft, transforming the precision, speed, and adaptability of modern air forces. Thomas's work focuses on leveraging scaled RL to evaluate dynamic combat situations, formulate tactics, and execute complex maneuvers in real-time, achieving human-level performance in air combat

Prior to Helsing, Thomas co-founded and served as CTO of FarmWise (2016-2024), developing autonomous agricultural robotics recognized by Forbes 30 Under 30 and TIME's 100 Best Inventions. He holds a Master's from Stanford University and studied Applied Mathematics and Computer Science at École Polytechnique, bringing deep expertise in machine learning, robotics, and real-time systems.

The first AI flying a production fighter jet

Sophie Monnier is Partnerships Lead at InstaDeep (now part of BioNTech), where she works on building collaborations around applied AI in domains such as biology, mobility, and energy. Previously, she served as Chief Scientist and Senior Data Scientist in multiple startups, where she led projects from machine learning APIs to real-time computer vision systems, and gained hands-on experience bringing models from research to production.

Sophie is also the founder and president of X-IA, the École Polytechnique alumni group on AI, one of France’s most vibrant AI communities with 1,700+ members and 25+ high-level events spanning Deep Learning, MLOps, GenAI, and applied research-to-production workflows.

Her work bridges hands-on Machine Learning practices, startup experience, and ecosystem building in the French and European AI landscape.

From molecules to models: How AI is redesigning pharmaceutical R&D

Boris Gamazaychikov is Head of AI Sustainability at Salesforce, leading global efforts to align AI innovation with climate action. Recognized by The Independent’s Climate 100 and Business Insider’s AI Trailblazers, he is a leading voice at the intersection of technology and sustainability. At Salesforce, he spearheads initiatives to reduce AI’s environmental footprint, including the AI Energy Score—the first standardized benchmark for measuring AI model energy use. With over a decade of experience tackling complex environmental challenges, Boris is also a frequent speaker and advisor. He holds a degree in Environmental Engineering from the University of Maryland and works to bridge engineering, climate science, and AI to accelerate a sustainable future.

Beyond FLOPs: Engineering transparency into AI’s carbon footprint

Micah Hill-Smith is Co-Founder & CEO of Artificial Analysis, an independent AI benchmarking and insights company that helps engineers and organizations navigate the AI landscape. Artificial Analysis evaluates model intelligence, conducts performance testing on hardware and API providers, and operates crowd-sourced arenas that have gathered millions of votes. Artificial Analysis benchmarks are regularly cited by leading AI companies including NVIDIA, Google, and OpenAI, as well as major publications such as the Wall Street Journal, the Economist, and TechCrunch. Prior to founding Artificial Analysis, Micah was a strategy consultant at McKinsey & Company.

Benchmarking the frontier: what really matters in the new AI stack

Marco Trombetti is a computer scientist, entrepreneur, and investor. In 1999, he co-founded Translated, which pioneered the symbiotic use of artificial intelligence in the language industry. Through Translated, Trombetti introduced adaptive machine translation, delivered the first commercial application of the transformer, and fostered a symbiotic relationship between professional translators and AI. Leveraging the success of Translated and other ventures, Marco co-founded Pi Campus, a venture capital firm investing in AI-applied startups, and Pi School, an educational institution dedicated to training the next generation of AI specialists.

Olivier Reynaud has been exploring the creative infrastructure of tomorrow for over a decade.

After co-founding Teads (which became the global leader in programmatic video), he co-founded Aive in 2019 alongside Rudy Lellouche (ex-Adyoulike) with a radical thesis: creativity is no longer a handcrafted process — it’s an augmented, measurable, and scalable force. With MGT (Multimodal Generative Technology), Aive merges analytical and generative AI into a single pipeline — recreating content that preserves its original intent while adapting seamlessly to different contexts. This is transcreation, not versioning — the antithesis of closed, hallucinatory models.

A creative mind obsessed with execution, Olivier champions a responsible, European-born AI that is GDPR-native, AI Act compliant, and relies on zero external APIs.

Aive has raised over €25 million since its inception and now serves dozens of clients across France and the U.S., including L’Oréal, Stellantis, P&G, TF1, Publicis, IPG, and Meta.

His conviction: the future of video won’t just be generated — it will be transcreated.

That’s what he calls Creative Intelligence.

Mathematical physicist by training, researcher at the crossroads of machine learning, geometry, topology, and high-performance computing. Currently Chief Technology Officer at Giotto.ai, where he leads a team of researchers and engineers pushing the boundaries of AI systems. A strong advocate of open-source collaboration and scientific outreach, he believes that transparency and shared knowledge are essential to sustainable innovation.

ARC-AGI a secret sauce for reasoning LLMs?

I'm a Product Manager at Scaleway and lead the development of their environmental footprint calculator. This calculator provides real-world usage metrics for cloud infrastructure CO₂ emissions and water consumption. With an engineering degree and technical experience as a former developer, I bring a methodical and practical approach to creating tools that help developers and DevOps teams make informed and sustainable decisions.

Driven by curiosity and sustainable development, my work aims to provide transparent and actionable information to cloud users.

As Co-Founder of Molia, Paul Mochkovitch helps companies build secure AI agents that assist their teams. Molia develops custom AI solutions tailored to enterprise needs, ensuring both performance and security.

His background spans a decade in AI: after earning a master’s degree from Télécom Paris in 2015, he spent five years as a Data Scientist and Head of Data in tech startups before co-founding Emil, a data and AI training platform later acquired by Le Wagon. He also founded GAIN (Generative AI Network), France’s leading GenAI community with over 1,200 technical experts, and hosts Paroles d’IA, a podcast exploring enterprise AI use cases.

He is passionate about making AI accessible and actionable for businesses ready to transform their operations.

I'm a Solutions Architect with a focus on LLM-based applications. I lead the AI Team at SOFTIQ, turning ideas into real AI solutions. I work hands-on with clients to design products that meet their needs and deliver quick Proof of Concepts to get things moving fast. My experience includes RAG pipelines, agent systems, and working with open source language models, including those for underrepresented languages like Polish.

Building computer-using agents for AI lead generation

Gaël Delalleau is the founder and CEO of Kog, a European VC-funded startup and real-time AI frontier lab. With a world-class team of 15 engineers and PhDs, he is unlocking the future of AI use cases by building optimized inference engines and training new models architectures that achieve 100x faster token generation.

With a strong engineering and research background as an École Polytechnique graduate, he previously built a handful of web, gaming, optimization, machine leaning and cybersecurity products at several startups and consulting companies.

Real-time AI: building 100x faster inference

Gianluca is a Research Engineer in Reinforcement Learning at InstaDeep, where he applies advanced AI to solve complex industrial challenges. His primary focus is on automated printed circuit board (PCB) routing using Deep Reinforcement Learning, and his work has also involved tackling combinatorial optimization problems, such as airport ground handling.

He completed his PhD in Reinforcement Learning at Politecnico di Milano, where his research centered on Hierarchical Reinforcement Learning and its application to mission planning for autonomous drones. His main interests lie in Reinforcement Learning and its specializations such as Hierarchical and Inverse Reinforcement Learning and the application of these techniques to real-world problems.

Solving complex combinatorial challenges with Reinforcement Learning: the PCB routing demo

Dr. Corina Chutaux is a researcher and lecturer collaborating with Sorbonne University, where she contributes to projects at the intersection of the human sciences and artificial intelligence. She holds a PhD from Sorbonne University, with research focusing on the relationship between creativity and algorithmic generation, and on how machine learning reshapes artistic and literary practices. Formerly a lecturer at Sorbonne Nouvelle and Sciences Po, Dr. Chutaux has developed an interdisciplinary approach bridging aesthetics, digital culture, and computational logic. She is the author of Esthétique de l’Art Invisuel and a contributor to a collective volume featuring her chapter Art and Literature through Generative Adversarial Networks. She has also contributed to scientific papers on natural language processing (NLP), particularly in the design and interpretation of linguistic corpora. Her research examines the epistemological and ethical implications of AI-driven creativity within a critical humanistic framework.

Steeve Morin is the Founder and CEO of ZML, a next-generation AI inference engine built to deliver peak performance across a wide range of hardware platforms. Previously, he served as VP of Engineering at Zenly (acquired by Snap Inc.), where he led engineering efforts for millions of users. With a deep software engineering background and expertise in high-performance systems, Morin now drives ZML to push the boundaries of inference performance and developer experience.

Inference Everywhere: optimizing performance

Enrico Bertino is the Chief AI Officer of indigo.ai, a leading European player in generative AI for natural language. With a background in Mathematical Engineering from the Polytechnic University of Milan and expertise in Big Data and machine learning, he co-founded Indigo.ai to drive innovation in conversational AI. He leads the company’s R&D and customer success team, ensuring cutting-edge language models like BERTino, one of the most downloaded Italian NLP models, are effectively developed and implemented. A Forbes Under 30 honoree, he collaborates with top universities and research institutes to advance AI and its real-world applications.

From lab to product with European LLMs

Pierre-Louis Theron is a seasoned internet infrastructure entrepreneur. 

Co-Founder and CEO of Alpic, building the first cloud platform for MCP servers. Alpic bring your product in the agent era. 

Pierre-Louis previously founded Streamroot, a pioneering peer-assisted Content Delivery Network for video Streaming, acquired by Lumen technology in 2019. Where he then operated the 3 largest global CDN.

A deep dive into MCP and ChatGPT apps

Neil Zeghidour is the Founder of Kyutai, a Paris-based AI research lab. Before launching Kyutai, he was a Staff Research Scientist at Google DeepMind. He also teaches Algorithms for Speech and Natural Language Processing in the Master MVA program at École Normale Supérieure. His research focuses on deep learning for audio understanding, audio synthesis, and signal processing.

Joël Belafa is a passionate technologist and the Co-founder and CEO of Biolevate, a Paris-based startup leveraging artificial intelligence to streamline medical writing, regulatory documentation and drug-development workflows. He served in executive engineering roles at Dataiku (including Director of Engineering) where he helped build out enterprise-AI platforms for large organisations. Beyond his executive roles, he acts as an advisor to multiple technology startups and scale-ups, sharing his expertise in AI, cloud computing and operationalising data science. His contributions span both strategic leadership and technical execution in the intersection of DataOps and AI.

Alexandre Pasquiou co-founded Neuralk-AI, a deeptech startup based at Station F (Future 40) developing verticalized Tabular Foundation Models for enterprise tabular data and use cases. Alexandre holds an engineering degree from CentraleSupélec and a PhD in computational neuroscience from Inria, where he conducted research in the MIND team under the supervision of Bertrand Thirion and Christophe Pallier.

Tabular Foundation Models: the new frontier of data science

Bart is one of the first employees of Proton and has been CTO since 2015. He is responsible for technical vision and architecture. Previously, he worked at the Large Hadron Collider at CERN and in the private sector. He holds a BA in physics and chemistry from Dartmouth College, a PhD in physics from Stanford University and was a postdoctoral fellow at Harvard University.

Our 2025 speakers

Join leaders and engineers for a **one-day technical** conference dedicated to AI breakthroughs, research and product demonstrations!

AI keeps pushing reasoning, context, and adaptability. It’s becoming a true copilot, amplifying human intelligence. But what does best-in-class AI mean? Benchmark scores, real-world performance, or how it makes us more capable? Metrics are biased, multimodality adds complexity, and sometimes it’s just the vibe.

Smarter

AI is reshaping how we build. Agents, new coding paradigms, and protocols like MCP make development more fluid and collaborative. Creativity accelerates with tools for images, video, and music. But moving from concept to production requires balancing speed and robustness—AI is transforming creation itself.

Faster

AI’s impact is no longer hypothetical—it’s moving from labs into our lives. What matters are real use cases: from robotics to new interfaces at work and home. AI is becoming part of daily routines, spreading everywhere, with each example showing how deeply it is shaping the world around us.