Mistral AI

2026-05-23

COMPANIES · 1 SOURCE · Mistral AI

Mistral AI to acquire Emmi AI to accelerate physics-focused engineering models

Mistral AI entered into a definitive agreement to acquire Emmi AI, an Austria-founded startup that develops Physics AI and large engineering models; Emmi’s team of 30+ researchers and engineers will join Mistral’s Science and Applied AI teams in May. The deal is intended to extend Mistral’s models and agents to better understand and model physics, enable integration with engineering tools, and speed industrial engineering workflows such as real-time simulation and digital twins.

7.0

2026-04-27

COMPANIES · 1 SOURCE · Mistral AI

Mistral AI launches Workflows orchestration in public preview

Mistral AI has released Workflows in public preview — an orchestration layer inside Studio designed to provide durability, observability, fault tolerance, and human-in-the-loop controls for enterprise AI processes. Workflows are written in Python, can be triggered via Le Chat, record full execution histories (with OpenTelemetry support), and are already in use by customers such as ASML, ABANCA, CMA-CGM, France Travail, La Banque Postale, and Moeve.

7.0

2026-03-23

MODELS · 1 SOURCE · Mistral AI

Mistral launches Voxtral TTS, a 4B multilingual text-to-speech model

Mistral AI released Voxtral TTS, a 4-billion-parameter multilingual text-to-speech model that, according to Mistral, produces emotionally expressive, low-latency speech in nine languages and supports easy voice adaptation and zero-shot cross-lingual voice transfer. The model is available via API and Mistral Studio, is priced from $0.016 per 1K characters, and Mistral reports human-evaluation advantages versus ElevenLabs Flash v2.5 and parity with ElevenLabs v3 on quality while maintaining similar time-to-first-audio.

7.0

2026-03-17

MODELS · 1 SOURCE · Mistral AI

Mistral AI introduces Forge to let enterprises train models on proprietary data

Mistral AI launched Forge, a system for enterprises to train frontier-grade AI models grounded in their proprietary documentation, codebases, structured records and policies. Forge supports pre-training, post-training, reinforcement learning, dense and MoE architectures, multimodal inputs, and is already being used in partnerships with organizations such as ASML, DSO National Laboratories Singapore, Ericsson, ESA, HTX Singapore and Reply.

7.0

2026-03-16

MODELS · 1 SOURCE · Mistral AI

Mistral AI joins NVIDIA Nemotron Coalition to co-develop open Nemotron 4 models and releases Mistral Small 4

Mistral AI announced it is a founding member of the NVIDIA Nemotron Coalition and will co-develop open, frontier-level foundation models with NVIDIA—leveraging NVIDIA DGX Cloud, compute tools, and synthetic-data pipelines—while contributing Mistral’s training techniques and multimodal capabilities. The company also publicly released Mistral Small 4 to enable developers and researchers to build and specialize models locally.

8.0