Mistral AI Launches Forge to Enable Enterprises to Build Custom AI Models

Mistral AI has officially launched its new platform, Forge, at Nvidia GTC 2026, aiming to enable enterprises to build custom AI models using their own internal data rather than relying on general-purpose models trained on internet-scale datasets.
The launch reflects a broader shift in the AI market, where the challenge is no longer access to models, but their ability to understand company-specific context. Forge directly addresses this gap by allowing organizations to train models tailored to their workflows, documents, and institutional knowledge.
Many enterprise AI initiatives fail because models lack deep understanding of internal operations. General models trained on public data often fall short in delivering accurate, actionable outcomes in business environments.
Unlike traditional approaches such as fine-tuning or retrieval-augmented generation (RAG), Forge enables training models from scratch, offering greater control over model behavior and improved performance in domain-specific and non-English contexts.
Elisa Salamanca, Head of Product at Mistral, stated:
“What Forge does is it lets enterprises and governments customize AI models for their specific needs.”
Timothée Lacroix, Co-founder and CTO, added:
“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.”
While competitors like OpenAI and Anthropic dominate consumer adoption, Mistral AI is doubling down on enterprise. CEO Arthur Mensch noted that the strategy is working, with the company on track to surpass $1 billion in annual recurring revenue.
Forge combines infrastructure, software, and embedded engineering support, with forward-deployed engineers working directly with clients—positioning the platform as a long-term partnership rather than a standalone tool.
Early adopters include Ericsson, European Space Agency, and ASML, highlighting strong demand across government, manufacturing, and technology sectors for secure, compliant, and highly customized AI solutions.
Forge signals a fundamental shift in AI competition—from building the best general model to enabling every enterprise to build its own.



