Mistral AI

We’re very happy to announce that we’ve entered a definitive agreement to acquire Emmi AI, which is pioneering physics AI for industrial applications. Mistral AI is building leading AI systems to accelerate engineering and manufacturing globally. As part of this mission, we’re extending our models’ capabilities to understand and model physics; and are enabling AI agents to use existing engineering tools. The acquisition strengthens our expertise, helping to accelerate the work of engineering teams worldwide. 🔹 Why Emmi AI? The company is at the forefront of AI and engineering, with unique Physics AI expertise and state-of-the-art large engineering models. Their solutions empower the world’s most advanced industrial players to accelerate their engineering workflows and product design cycles, replace multi-day computations with real-time simulations, and build digital twins to optimize asset operations. 🔹 What’s next? With Emmi AI’s 35-person team, including its co-founders, joining Mistral AI in May 2026, we’ll significantly enrich our products and expertise in physics AI for industries and we will deliver the first fully integrated AI stack for industrial engineering. Stay tuned!

We had the opportunity to talk to Oscar Rodriguez, Director of ProServe Expert Services at AWS, about what makes the partnership between Amazon Web Services (AWS) and Mistral AI special. In addition to the partnership, he and Savannah Peterson also discuss the qualities of companies who are pushing the boundaries of innovation and where the industry is going next. Watch the full video: https://lnkd.in/emUmcPsj

ASML builds the machines that make advanced chips possible, and it's working with Mistral AI to solve some of the toughest problems in semiconductor lithography using frontier AI. They partnered with Mistral AI to develop an AI-powered diagnostic tool that identifies machine issues 120x faster and AI agents that flag risky code changes before they ship—all while meeting ASML's security and data requirements.

We’re proud to announce a strategic partnership with Groupe Caisse des Dépôts and its 19 subsidiaries, including La Banque Postale and Bpifrance; a collaboration that aligns with our vision of a European, independent AI serving the public interest. As part of the Group’s 2030 Digital Horizon Plan, this partnership strengthens digital sovereignty through notably the deployment of generative AI solutions and the acquisition of GPU computing capabilities.

We’re launching Founder in Residence, a fast track for start-up founders. Some of the best people on our Solutions team are ex-founders. We realized it's because the environment is very similar to running a company: high autonomy, real accountability, hard technical problems unlocking large-scale AI deals worldwide. So we built a track just for that. Founder in Residence is an open invitation for anyone who's founded, co-founded, or led a company and wants to deploy the most advanced AI models inside the enterprises that need them most. This is for people who've shipped and sold something real, and know what "skin in the game" means. If you think you’re the right person, reach out to Nicolas Schuhl or Stanislas Pesic, chat with an ex-founder in Solutions, and we'll figure out the role that fits you best together.

A New Era for AI in Singapore MTX - Milipol TechX marks a pivotal moment. We are announcing strategic partnerships that bring together the Singtel AI Grid, NCS Group, and Mistral AI to accelerate Singapore’s National AI Strategy. By pairing sovereign infrastructure with frontier models and agentic platforms, Mistral AI will deliver state-of-the-art, fully customisable AI. Building on our momentum in Defence and Public Safety, we are looking to co-develop solutions that will transform manufacturing, transport, finance, and healthcare. Together, Singtel, NCS, and Mistral AI position Singapore at the forefront of global AI leadership. #MTX2026

Coding agents have mostly lived on your laptop. Today we're moving them to the cloud, where they run on their own, in parallel, and notify you when they're done. You can now start them from the Mistral Vibe CLI or directly in Le Chat, offloading a coding task without leaving the conversation. Powering this is Mistral Medium 3.5 in public preview, our new default model in Mistral Vibe and Le Chat, built to run for long stretches on coding and productivity work. The new Work mode in Le Chat (Preview) extends this with a powerful agent for complex, multi-step tasks like research, analysis, and cross-tool actions. Highlights: 🚀 Mistral Medium 3.5, a new flagship model that merges instruction-following, reasoning, and coding into a single 128B dense model, and specializes in long-horizon agentic tasks. Released as open weights, under a modified MIT license. 💪 Strong real-world performance at a size that runs self-hosted on as few as four GPUs. ⚡Mistral Vibe remote agents for async coding: sessions run in the cloud, can be spawned from the CLI or Le Chat, and a local CLI session can be teleported up to the cloud. 👨💻Start Mistral Vibe coding tasks in Le Chat. Sessions run on the same remote runtime and keep going while you step away. 🛠️ Work mode in Le Chat runs on a new agent, powered by Mistral Medium 3.5, that works through multi-step tasks, calling tools in parallel until the job is done. Learn more here: https://lnkd.in/eG4bsCvr

🆕 Today, we're releasing the public preview of Workflows, the orchestration layer for enterprise AI. 🌎 Enterprise teams have capable models. What they don't have is a way to run them reliably in production. That's the gap Workflows fills. It takes AI-powered business processes from prototype to production, with the durability, observability, and fault tolerance that production actually requires. Leading organisations like ASML, ABANCA, CMA-CGM, France Travail, La Banque Postale, Moeve, and many others are already using Workflows to automate critical processes. 📖 Learn more here https://lnkd.in/gV-Zj8vF.

If every company has access to the same frontier models, where does differentiation come from? The answer: it comes from what a model knows about your business specifically. Your data. Your decision logic. Your institutional history encoded directly into its weights. In our latest article for MIT Technology Review, Barry Conklin explains how the organizations seeing the most impressive results are the ones building domain-specialized AI. Whether it's an automotive company training models on crash-test data or a Southeast Asian government building AI in regional languages, under local governance—the common thread is treating model customization as infrastructure, rather than a one-off experiment. Generic intelligence is a commodity. Contextual intelligence is not. Read more: https://lnkd.in/eW8HjGFu

Introducing the AI Now Summit! Leaders, builders, founders, and innovators: join us on May 28 in Paris to share strategies and explore how AI transformation is driving real business impact, from vision to execution. You’ll hear: 🏭 Global CEOs on transforming complex operations, driving change, and delivering measurable results across industries, manufacturing, public sector, finance, energy, and beyond. 💻 Technical deep dives to help you build and deploy AI: open-source models, agentic AI and workflows, identifying and deploying use cases, AI architecture, and model customization. 🚀 Mistral’s founders on the AI vision for transformation in large organizations, company trajectory, and new releases. One day to leave with: ✅ Actionable frameworks for your AI transformation strategy ✅ Practical insights on how to deploy AI and move at scale ✅ Connections with peers to help you build your own AI Tickets are live, get your pass now → https://ainowsummit.com