The collaboration combines Mistral AI’s model customization capabilities with Ericsson’s R&D and network expertise, with Ericsson acting as a design partner for the platform. The work targets high-impact use cases that speed software delivery and strengthen network performance, including automation of legacy code translation, AI-assisted development for 6G research, and custom AI agents for complex workflows in Ericsson’s Networks organization.
Mistral AI and Ericsson will jointly research and co-develop AI agents tailored to Ericsson’s data and engineering environments, bringing data closer to AI and enabling faster decision-making in product development and deployment. The companies aim to set new benchmarks for secure, high-performing, and resilient telecom infrastructure, aligning AI innovation with the requirements of carrier-grade networks.
This is a collaboration grounded in complementary strengths, Mistral AI’s cutting-edge foundation models and tooling, and Ericsson’s decades of radio, cloud, and network systems experience, proven at global scale. Together, the partnership focuses on AI for networks, not AI in isolation, to deliver measurable outcomes for customers.
Marjorie Janiewicz, Chief Revenue Officer at Mistral AI says: “This partnership with Ericsson isn’t just about applying AI to telecom, it’s about transforming networks from the ground up. By combining our frontier models with Ericsson’s unmatched expertise in radio, cloud, and carrier-grade systems, we’re customizing models that have deep domain knowledge and accelerate modernization. Together, we’re setting a new standard for what AI can achieve in telecom: networks that are more resilient, more responsive, and ready for the future of connectivity.”
Dag Lindbo. Head of AI & Emerging Technologies, Business Area Networks, at Ericsson, says: “At Ericsson, AI for networks is about precision, not hype. With Mistral AI, we apply advanced models where they matter most. From accelerating code migration to informing 6G research and building trustworthy AI agents, this collaboration helps us improve time to value for customers while strengthening performance and resilience across the network.”
