SaaS & Software·May 19, 2026

Mistral AI Acquires Emmi AI to Create the Leading AI Stack

May 19, 2026European AI leader Mistral AI is acquiring Emmi AI in one of Europe’s most important and strategic AI acquisitions to date.Founded in Linz, Emmi AI has quickly emerged as one of Europe’s leading Engineering AI companies, develop

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Mistral AI Acquires Emmi AI to Create the Leading AI Stack
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May 19, 2026European AI leader Mistral AI is acquiring Emmi AI in one of Europe’s most important and strategic AI acquisitions to date.Founded in Linz, Emmi AI has quickly emerged as one of Europe’s leading Engineering AI companies, develop

  • By engineering the first comprehensive AI stack fueled by Physics AI, we are set to deliver real-time simulations and sophisticated digital twins.
  • At Emmi AI, we have dedicated ourselves to solving high-stakes physical challenges, ranging from the real-time stabilization of power grids to the intricate simulation of injection molding and automotive safety testing.
  • By integrating our expertise into Mistral’s world-class AI ecosystem, we are positioned to revolutionize core R&D.
  • Read articleSeptember 3, 2025NeuralDEM, Now Open Source: Real-Time Deep Learning for Industrial Particulate FlowsNeuralDEM introduced in November 2024 as the first end to end deep learning alternative to CFD–DEM multiphysics simulations, is now open source.
  • The dataset and model enable real-time, physically consistent simulation of industrial particulate flows at production scale.Read article
May 2026November 2024

May 19, 2026European AI leader Mistral AI is acquiring Emmi AI in one of Europe’s most important and strategic AI acquisitions to date.Founded in Linz, Emmi AI has quickly emerged as one of Europe’s leading Engineering AI companies, developing Physics AI models for industrial engineering that dramatically accelerate industrial simulation and engineering workflows across sectors like energy, automotive, semiconductors, and aerospace.The acquisition marks a major step in Europe’s industrial AI ambitions. By combining Mistral’s AI platform with Emmi’s deep expertise in engineering and manufacturing, Mistral AI will create the leading AI stack for Industrial Engineering and strengthen its position as the leading AI transformation partner for industrial enterprises.Emmi’s co-founders and its team of more than 30 researchers and engineers, among the leading experts in Engineering AI globally, will join Mistral AI's Science and Applied AI teams in May 2026.With this acquisition, Mistral AI accelerates its investment in Europe, in particular in Austria, Germany and Lithuania where the Emmi team is based. It will further hire locally among the best experts in the field. Importantly for Austria, Linz will become an official Mistral AI office alongside Paris, London, Amsterdam, Munich, San Francisco, and Singapore, deepening investment in European industrial AI talent and research.“This strategic acquisition cements Mistral AI’s leadership in industrial AI and positions us as the partner of choice for manufacturers in high-stakes sectors like aerospace, automotive, or semiconductors. It empowers our customers with a fully integrated platform to solve complex challenges, transform core R&D processes, and accelerate high-value innovation”, said Arthur Mensch, co-founder and CEO, Mistral AI.“This acquisition marks a turning point for industrial innovation. By engineering the first comprehensive AI stack fueled by Physics AI, we are set to deliver real-time simulations and sophisticated digital twins. We aim to break through long-standing technical barriers that have slowed progress for decades, enabling our partners to solve the world’s most daunting engineering challenges”, added Guillaume Lample, co-founder and Chief Science Officer, Mistral AI.Johannes Brandstetter, Emmi AI’s co-founder and Chief Science Officer: “This is a pivotal moment for the future of industrial engineering and the broader AI4Science movement. At Emmi AI, we have dedicated ourselves to solving high-stakes physical challenges, ranging from the real-time stabilization of power grids to the intricate simulation of injection molding and automotive safety testing. By integrating our expertise into Mistral’s world-class AI ecosystem, we are positioned to revolutionize core R&D. Together, we are providing the foundational intelligence required to design and build the next generation of aircraft, vehicles, and semiconductors”.‍‍‍‍May 14, 2025Getting Started with AI Models for Physical SimulationExplore how AI-powered models are transforming physics simulations—from thermodynamics to fluid dynamics—and learn how to get started building or integrating your own models.Read articleMay 14, 2025Getting Started with AI Models for Physical SimulationExplore how AI-powered models are transforming physics simulations—from thermodynamics to fluid dynamics—and learn how to get started building or integrating your own models.Read articleMay 14, 2025Getting Started with AI Models for Physical SimulationExplore how AI-powered models are transforming physics simulations—from thermodynamics to fluid dynamics—and learn how to get started building or integrating your own models.Read articleApril 25, 2025Emmi AI raises EUR 15M to bring AI to the heart of industrial engineeringFunding from 3VC, Speedinvest, Serena, and PUSH marks the largest seed round ever raised by an Austrian startup and accelerates Emmi AI’s vision for AI-enabled engineering.Read articleJune 23, 2025Emmi AI releases AB-UPT: Scaling Neural Surrogates to 100M+ Mesh CellsEmmi AI presents AB-UPT, a novel architecture that scales neural surrogates for computational fluid dynamics (CFD) to industrial-scale problems with over 100 million mesh cells - achieving state of the art accuracy, mesh free inference, and physics consistent predictions. Read articleSeptember 3, 2025NeuralDEM, Now Open Source: Real-Time Deep Learning for Industrial Particulate FlowsNeuralDEM introduced in November 2024 as the first end to end deep learning alternative to CFD–DEM multiphysics simulations, is now open source. The dataset and model enable real-time, physically consistent simulation of industrial particulate flows at production scale.Read article

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Show HN: Draco – A single-binary, self-hostable Firecrawl alternative in Rust
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Show HN: Draco – A single-binary, self-hostable Firecrawl alternative in Rust

Scraping modern websites has become a massive headache. You basically have two choices: pay for an expensive API like Firecrawl/Browserbase, or run a fleet of headless Chrome instances that eat 1GB of RAM per page and still get blocked by Cloudflare. I built Draco to fix this. It’s a fast, single-binary web scraper written in Rust. You point it at a URL, and it spits out perfectly clean Markdown or structured JSON for LLMs. The secret sauce is that it doesn't just boot a browser for every request. It uses a tiered escalation engine: Tier 1 (Stealth Fetch): Draco uses a custom TLS/JA4 fingerprint to perfectly mimic a real browser's network signature at the packet level. It turns out a lot of anti-bot walls will let you right through if your handshake looks correct. In my benchmarks against sites like Cloudflare and Target, Playwright ate ~500MB of RAM and timed out. Draco bypassed them in under a second using just 20MB of RAM. Tier 2 (V8 Isolate): If it hits a React/Next.js SPA that needs rendering, Draco boots an in-process V8 engine in single-digit milliseconds. It hydrates the DOM and intercepts the hidden JSON APIs the page is calling—giving you the raw data without the overhead of a graphical browser. Tier 3 (Real Browser): If it hits an absolute wall, it seamlessly falls back to detecting and driving a real browser on your machine. I also built in all the tooling to make it a complete drop-in replacement for the hosted services: Daemon Mode: Run draco serve and you get a persistent HTTP server with a Firecrawl-compatible REST API. You can swap out your API keys and self-host immediately. Built-in MCP Server: It natively exposes a Model Context Protocol server so you can plug it directly into Claude Desktop or your AI agents. Web Search: Built-in parallel multi-engine web search (bypassing the need for a Google Search API key). Interact Mode: Drive a page statefully like a devtools console, persisting cookies across navigations(for LLM's mainly). It’s completely open source (MIT/Apache-2.0). I just wanted to put this out there for anyone tired of fighting headless Chromium or paying per-page scraping costs. Grab the binary and throw a difficult URL at it. Note that it's still a WIP so there might be some unexpected breakages of uncommon sites but for the most part its quite capable, it can handle cf-protected sites and heavy SPA's while everything else fails partially or completely while taking longer or more resources. (tested on example.com, hackernews, cloudflare, glassdoor, bluff.com, target.com, stake.com and thrill.com) ┏━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━┳━━━━━━━━━━┳━━━━━━━━━┓ ┃ Rank ┃ Tool ┃ Score ┃ Pass ┃ Avg Time ┃ Avg RAM ┃ ┡━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━╇━━━━━━━━━━╇━━━━━━━━━┩ │ #1 │ Draco │ 769.7 │ 8/8 │ 3.45 │ 216.50 │ │ #2 │ Obscura │ 384.5 │ 4/8 │ 2.68 │ 87.59 │ │ #3 │ BrowserOxide │ 373.4 │ 4/8 │ 6.42 │ 105.95 │ │ #4 │ Playwright │ 342.2 │ 4/8 │ 1.71 │ 535.07 │ │ #5 │ Bouncy │ 196.6 │ 2/8 │ 0.59 │ 19.38 │ └──────┴────────────────┴───────┴──────┴──────────┴─────────┘ Repo: Comments URL: Points: 8 # Comments: 1

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