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bloombergmistral+1bloombergMistral AI has released Robostral Navigate, a model designed to enable robots to autonomously navigate complex environments using only a single RGB camera and simple language prompts. The announcement, reported by Bloomberg on Wednesday, marks the French startup's formal entry into the robotics AI market after months of signaling its ambitions in what the industry calls "physical AI."bloomberg
The release represents an expansion beyond the language and multimodal models that established Mistral as Europe's leading AI company. Robostral Navigate builds on work the company first teased publicly in early 2026, when it previewed a work-in-progress robotics model called Robostral WMa1 that demonstrated a dual-armed robot autonomously unzipping a bag and retrieving objects.reddit+1
Mistral's robotics lead, Olivier Duchenne, outlined the company's physical AI roadmap at the AI Now Summit in Paris in late May, where Mistral also unveiled partnerships with Airbus, BMW Bayerische Motoren Werke AG, and ASML for its physics AI models used in industrial simulation. At the same event, Mistral introduced a broader class of AI models that predict the behavior of physical systems, positioning itself as a full-stack provider for AI-native engineering.mistral+2
The Robostral Navigate release comes as Mistral is in active fundraising talks at a valuation of roughly €20 billion, according to Bloomberg, seeking around €3 billion in new capital. The company reached an annual revenue run rate exceeding $400 million in January 2026 and is projected to hit $1 billion by year-end, according to CNBC Nasdaq, Inc. .cnbc+1
Mistral's push into robotics navigation places it alongside a growing cohort of AI companies moving beyond software into models that interact with the physical world. The company has also hosted a Robotics and Physical AI Hackathon in Paris earlier this year, giving participants early access to its embodied AI tools. With Robostral Navigate now publicly available, Mistral is betting that compact, efficient models can bring autonomous navigation to hardware that relies on minimal sensor setups — a potential differentiator in a field where many systems still depend on expensive multi-sensor arrays.youtube