Mistral Forge

Transform institutional knowledge into frontier-grade LLMs—without infrastructure burden or cloud lock-in.

Why Forge?

• Domain alignment: Structured customization pipelines that integrate proprietary datasets, ontologies, and decision frameworks.
• End-to-end training: Train models across the full lifecycle, from pre-training and synthetic data generation to post-training with reinforcement learning.
• Production-grade evaluation: Rigorous evaluation frameworks tailored to enterprise KPIs, not generic benchmarks.
• Infrastructure flexibility: Deploy in the environment that matches your risk profile without surrendering control to a single cloud vendor.
• Security and governance: Strict data isolation, controlled training pipelines, and auditable customization workflows aligned to your compliance policies.

Intelligence for high-consequence environments.

Code modernization.

Train models on proprietary codebases and engineering standards to refactor legacy systems, migrate frameworks, and generate reviewable code that follows your architecture and development practices.

Industrial domain adaptation.

Train models on your engineering documentation, standards, vocabularies, and decision frameworks so they understand domain terminology, constraints, and workflows as a foundation, not as an afterthought.

Cybersecurity.

Detect and prioritize real attacks by training on your environment’s telemetry, including alerts, identity events, endpoint and network logs, and past incident timelines. Generate investigation paths and response recommendations that follow your security policies.

Quant research.

Train models on proprietary signals, research archives, and execution data to generate new hypotheses, signal variations, and structured experiment plans for systematic strategy research.