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Forge Review

Platform for building custom AI models trained on proprietary enterprise data

Large Language Models (LLMs)New
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Forge is a Large Language Models (LLMs) tool. Platform for building custom AI models trained on proprietary enterprise data. Best for software developers and engineers, data scientists and analysts and business consultants.

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About Forge

Forge is an enterprise platform from Mistral AI that lets organizations train, align, and evaluate custom frontier-grade AI models on their proprietary data. It supports pre-training, post-training, and reinforcement learning for domain-specific AI.

Key Features

**Pre-Training on Proprietary Data.** Train models from scratch on large volumes of internal documentation, codebases, structured databases, and operational records. Your model learns the vocabulary, reasoning patterns, and constraints unique to your organization.
**Reinforcement Learning Pipelines.** Refine model behavior using feedback from internal evaluations and operational workflows. Align models with internal policies, compliance rules, and operational objectives through RLHF and DPO methods.
**Agent-First Design.** Autonomous agents like Mistral Vibe can use Forge to fine-tune models, find optimal hyperparameters, schedule jobs, and generate synthetic data. Customize models just by writing plain English instructions.
**Continuous Adaptation.** Built for ongoing improvement rather than one-time training. Update models as regulations change, systems evolve, and new data becomes available. Evaluation frameworks test models against internal benchmarks before production deployment.
**Multi-Modal Support.** Train models with text, image, and audio data where relevant. Support for advanced architectures including Dense and Mixture-of-Experts (MoE) to balance performance, specialization, and efficiency.
**Data Sovereignty and Control.** Train and operate models within your own infrastructure. Retain full ownership of models and underlying data. Meet compliance requirements for regulated industries like finance, healthcare, legal, and government.

Frequently Asked Questions

Forge is used by enterprises to build custom AI models trained on their proprietary data. Instead of using generic AI trained on public internet data, organizations can create models that understand their internal terminology, workflows, processes, and constraints. It's designed for companies that need AI aligned with their specific domain knowledge.

Forge operates on a license fee model. Mistral charges a software license fee for the platform, with optional fees for data pipeline services and forward-deployed engineers. Organizations running training on their own GPU clusters are not charged for compute costs. Specific pricing is customized for enterprise needs.

Forge is already being used by organizations including ASML, Ericsson, the European Space Agency, DSO National Laboratories Singapore, and Home Team Science and Technology Agency Singapore. It's designed for enterprises in regulated industries like finance, healthcare, legal, defense, and government that need data sovereignty and custom AI.

Forge supports the full model training lifecycle including pre-training, post-training, and reinforcement learning. Unlike fine-tuning (which adjusts a small fraction of weights) or RAG (which retrieves external context), Forge lets you train models from scratch on your proprietary data so the knowledge is embedded directly into the model itself.

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