Mistral AI on Monday launched Forge, an enterprise model training platform that allows organizations to build, customize, and continuously improve AI models using their own proprietary data — a move that positions the French AI lab squarely against the hyperscale cloud providers in one of the most consequential and least understood markets in enterprise technology.The announcement caps a remarkably aggressive week for Mistral, which also released its Mistral Small 4 model, unveiled Leanstral — an open-source code agent for formal verification — and joined the newly formed Nvidia Nemotron Coalition as a co-developer of the coalition’s first open frontier base model. Together, these moves paint the picture of a company that is no longer content to compete on model benchmarks alone and is instead racing to become the infrastructure backbone for organizations that want to own their AI rather than rent it.Forge goes significantly beyond the fine-tuning APIs that Mistral and its competitors have offered for the past year. The platform supports the full model training lifecycle: pre-training on large internal datasets, post-training through supervised fine-tuning, DPO, and ODPO, and — critically — reinforcement learning pipelines designed to align models with internal policies, evaluation criteria, and operational objectives over time.”Forge is Mistral’s model training platform,” said Elisa Salamanca, head of product at Mistral AI, in an exclusive interview with VentureBeat ahead of the launch. “We’ve been building this out behind the scenes with our AI scientists. What Forge actually brings to the table is that it lets enterprises and governments customize AI models for their specific needs.”Why Mistral says fine-tuning APIs are no longer enough for serious enterprise AIThe distinction Mistral is drawing — …
