In a bid to address a key gap in enterprise AI adoption, Mistral AI has introduced a new platform aimed at helping companies build AI systems tailored to their own data. Announced at Nvidia GTC by Nvidia, the platform—called Mistral Forge—focuses on enabling organizations to move beyond generic models trained on internet data and instead leverage decades of internal knowledge, workflows and documents.
The launch highlights Mistral’s strategy to focus on enterprise clients, even as competitors like OpenAI and Anthropic dominate consumer adoption. CEO Arthur Mensch said the company is on track to cross $1 billion in annual recurring revenue this year, signaling strong traction in the corporate segment. According to Elisa Salamanca, Mistral’s head of product, “What Forge does is it lets enterprises and governments customize AI models for their specific needs,” emphasizing control over both data and system behavior.
Unlike many existing enterprise AI solutions that rely on fine-tuning or retrieval augmented generation (RAG), Mistral claims Forge allows companies to train models from scratch. This approach can better handle non-English and domain-specific data, while also enabling reinforcement learning for agentic systems and reducing reliance on third-party providers. The platform uses Mistral’s open-weight models, including Mistral Small 4. Co-founder Timothée Lacroix noted, “The trade-offs that we make when we build smaller models is that they just cannot be as good on every topic as their larger counterparts and so the ability to customize them lets us pick what we emphasize and what we drop.”
Forge also includes advisory support and forward-deployed engineers who work directly with clients—an approach inspired by companies like IBM and Palantir Technologies. These teams help enterprises build datasets, evaluation systems and synthetic data pipelines. Early partners include Ericsson, European Space Agency, Reply, DSO National Laboratories, HTX and ASML, which led Mistral’s Series C at a €11.7 billion ($13.8 billion) valuation. The company expects demand from governments, financial institutions, manufacturers and tech firms seeking highly customized AI systems.
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