Build domain-specialized AI with Mistral.
Frontier model customization, from fine-tuning to full pre-training.
Partner with Mistral to build, align, and evolve models using the same methods that power our frontier systems. Every stage—from pre-training to post-training and fine-tuning—ensures domain specialization, sovereignty, and flexible deployment.
Domain knowledge integration.
Extend foundational models with your proprietary data and domain expertise to create true domain specialists.
Behavior and policy alignment.
Shape model cognition with human and synthetic feedback to align with your operational and organizational parameters.
Computational optimization.
Engineer for deterministic, high-throughput operation to push performance to the limits of your hardware.
Continuous reinforcement.
Close the loop between production and research to refine and harden model robustness over time.
Level up your AI initiatives.
Helping companies solve the world’s most difficult problems.
The collaboration between Mistral AI and ASML aims to generate clear benefits for ASML customers through innovative products and solutions enabled by AI, and will offer potential for joint research to address future opportunities. We believe that this strategic partnership with Mistral AI, which goes beyond a traditional vendor-client relationship, is the best way to capture this significant opportunity.
Helsing and Mistral AI have formed a strategic partnership to develop next-generation AI systems for European defence. This collaboration focuses on Vision-Language-Action models, enhancing defence platforms' ability to understand their environment, communicate with operators, and make rapid, reliable decisions in complex scenarios.
With the help of Mistral, HTX is fine-tuning pretrained models and also building their own series of LLMs, codenamed Phoenix. Phoenix has been pre-trained on extensive corpuses of knowledge specific and relevant to the Home Team and Singapore, as well as 10 major languages spoken in Singapore—including Mandarin, Bahasa Melayu, and Tamil. This will allow Home team officers to get more accurate responses compared to other kinds of LLMs.




