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This week: Everything is Code, UMH open-source industrial dataops, wine-making waste recycles batteries, wind turbine collaboration, nuclear sodium coolant, industrial robotic platforms raise millions

Mar 15, 2026

Shop Talk

Capturing this week’s zeitgeist

The era of the AI assistant has replaced by a paradigm where “Everything is ~~Computer~~ Code”, a shift led by tools like Claude Code (Coding) and Genie Code (Data Work) that move us from simply writing syntax to delegating entire autonomous lifecycles.

Who will make “Foundry Code”?

This product will autonomously refactor assembly workflows and optimize thermal cycles in real-time, treating a physical production floor with the same agility and version control we currently apply to coding and data work. Some features could include:

Software-Defined Hardware: Acts as a real-time compiler that translates high-level operational goals into optimized machine instructions for PLCs and CNCs.
The “Edit Button” for Reality: Synchronizes digital twins with physical lines to autonomously refactor and deploy updated G-code paths without stopping production.
Agentic Maintenance: Proactive background agents diagnose mechanical anomalies, source parts via ERP, and schedule repairs before failures occur.
Batch-of-One Orchestration: Dynamically rewrites machine recipes for every individual unit to compensate for raw material variances in real-time.

Quote of the Week

Software and automation are becoming increasingly central as machine capabilities improve. Chen outlined three areas where artificial intelligence is being applied across Creality’s platforms: model creation and visualisation, fault detection during printing, and optimisation of print parameters such as supports and toolpaths. “AI can help us to do better 3D modeling,” he said, adding that it is also used for “AI-based detection of faults, of failures”.
Jack Chen, Founder and CEO, Creality /3DPI/

EOS CEO Marie Langer on Next Frontier for Industrial 3D Printing /3DPI/

New in 2026: We are gifting a 1-year paid subscription to the first person to identify the content link AND cultural reference to the title/subject line of this week’s digest. Comment on this post with your guess before next week’s digest is released to be eligible!

Last week’s answer: Appetite to Touch Grass and Build Donuts

Assembly Line

This week’s Industry 5.0 breakthroughs and frontier technologies of the built world.

🦾 Ed Mehr on Transforming Manufacturing at Machina Labs

Discover how Machina Labs is transforming manufacturing with flexible, robotic-powered factories that can switch products instantly. In this episode, Ed Mehr shares insights on software-defined factories, advanced automation, and strategic partnerships shaping the future of hardware production.

Machina Labs Funding: $124M Series C to Build the Factory of the Future /LA Times/
Isembard Raises $50m Series A to Open 25 AI-Powered Factories Serving Aerospace and Defence /Isembard/

🏭📊 This open-source bet is paying off as United Manufacturing Hub takes on industrial giants

✍️ Author: Cate Lawrence

United Manufacturing Hub Systems (UMH) is building an open-source data platform designed to solve exactly that challenge. The company now counts manufacturing, food and beverage, and top-20 automotive suppliers among its customers, supporting deployments across more than 150 sites globally.
The platform supports two interaction modes. Developers can configure deployments through YAML files — something Hebborn says AI tools can generate quickly when connecting hundreds of machines. For non-technical users, UMH also offers a visual drag-and-drop interface, which becomes important when deployments scale across dozens of sites.
UMH’s next phase is about scaling through team expansion. Geographically, the team is not aggressively pushing international expansion yet as the DACH region already has a huge concentration of global manufacturing companies.

🍷🔋♻️ Wine-making waste helps recycle cobalt and nickel from batteries

✍️ Author: Prachi Patel

Cobalt and nickel, bound together in lithium-ion battery cathodes, are difficult to separate during battery recycling. Researchers have now found a way to tease the elements apart electrochemically with the help of tartaric acid, which is found in grapes and is a wine-industry by-product.
Electrolytic methods offer a sustainable alternative, especially if powered by renewable electricity. One such technique, electrowinning, involves reducing metal ions in an electrolyte solution so they deposit as solid metal on an electrode. It’s commonly used in metal mining. Researchers are now putting it to use for recovering critical metals from electronic waste.

🦾🤖🦿🇨🇳 Inside the AI labs training China’s humanoid robots

China is rapidly expanding a network of state-funded robot training farms where human instructors manually pilot machines to generate the massive datasets needed to develop embodied intelligence. Supported by national policy and billions in investment, these facilities aim to overcome the global shortage of robot-specific data by recording and labeling thousands of physical repetitions of everyday tasks. Although this push provides an early market for Chinese robot manufacturers, significant technical hurdles remain, most notably the difficulty of transferring training data between rapidly evolving and non-standardized hardware models.

🌬️ Adaptive human–robot collaboration in wind turbine manufacturing using digital twins

✍️ Authors: Ali Ahmad Malik, Tariq Masood

The push for higher wind turbine-rated capacity has spurred the development of larger generators, extended blade lengths, and taller towers. Wind turbines with capacities of up to 16 megawatts are available in the market, reflecting an almost 60% surge in design capacity over the past five years. However, due to frequent design changes and the diverse range of tasks involved, conventional automation methods are less practical, leading to a labor-intensive process. Handling and assembling these large components pose challenges to human capabilities. To address these challenges, this study proposes integrating collaborative robots (cobots) to develop a hybrid approach to automating wind turbine manufacturing. Employing cobots can reduce manufacturing costs, increase production speed, and improve working conditions. The article details the development of a mobile robotic assistant designed to collaborate with human operators during wind turbine assembly, based on a case study from a leading global wind turbine manufacturer. Besides highlighting the areas attractive for collaborative automation, the article’s key contributions are to introduce a framework based on digital twin technology for the design, commissioning, and operation of robots. It also presents a human-robot interface using smartwatches to enable fluid interaction between humans and robots on production floors. The developed system can be scaled to other large-size component manufacturing involving intensive manual effort.

New Product Introduction

Highlighting new and innovative facilities, processes, products, and services

☢️ Building the Future of Energy | Aalo’s Sodium Test Loop Unveiled

Sodium is the coolant of choice for Aalo’s mass-manufactured reactors. It transfers heat far more efficiently than water and operates at atmospheric pressure, which means you don’t need the massive pressure vessels that conventional reactors require. The tradeoff: sodium reacts violently with water and ignites on contact with air. There’s no room for error; but sodium can be managed.

Getting a sodium loop running is a major technical milestone. It validates the pumps, the heating systems, the instrumentation, and the material interfaces that will eventually go into a full-scale reactor. Very few organizations in the world operate hardware like this. See inside the skunkworks lab where our engineering team walks through prep, heats sodium in a glovebox, and fires up the Sodium Test Loop for the first time. You’ll want to see what happens.

🧠 Phi-4-reasoning-vision and the lessons of training a multimodal reasoning model

Phi-4-reasoning-vision-15B is a compact and smart open‑weight multimodal reasoning model that balances reasoning power, efficiency, and training data needs. It is a broadly capable model that allows for natural interaction for a wide array of vision-language tasks and excels at math and science reasoning and understanding user-interfaces.
One of our goals was to train a model that performs well across general vision-language tasks, while excelling at mathematical and scientific reasoning and computer-use scenarios. How to structure datasets for generalizable reasoning remains an open question—particularly because the relationship between data scale and reasoning performance can lead to starkly different design decisions, such as training a single model on a large dataset versus multiple specialized models with targeted post-training.

📐🧠 Introducing Wonder 3D: New text and image to 3D AI models in Autodesk Flow Studio

Flow Studio is designed to help you explore more ideas without locking you into a single result.

Business Transactions

This week’s top funding events, acquisitions, and partnerships across industrial value chains.

🇺🇸🦾 Rivian CEO’s AI-Powered Robotics Startup, Mind Robotics, Raises $500 Million

Mind Robotics, an AI startup founded by Rivian CEO RJ Scaringe, has raised $500 million at a $2 billion valuation to develop robots for factory automation. The company is collaborating with Rivian to train its systems using real-world factory data, focusing on practical manufacturing tasks like component assembly and parts handling. Scaringe aims to have a large number of these robots deployed by the end of the year, emphasizing functional utility in manufacturing over flashy robotic stunts.

🇺🇸🖥️🕸️ Nexthop AI Accelerates Into Hypergrowth With Oversubscribed $500M Series B Funding, Catapulting the Company’s Valuation to $4.2 Billion

Nexthop AI, the leading pioneer of highly efficient AI Networking, announced successful closure of an oversubscribed $500 Million Series B funding round, catapulting the company’s valuation to $4.2 Billion. This round was spearheaded by Lightspeed Venture Partners, with Andreessen Horowitz joining as a major investor, and participation from Altimeter and all existing investors.

Nexthop AI has quickly emerged as a frontrunner in the most advanced AI & Cloud Networking segment. The company delivers both off-the-shelf and highly customized switching solutions built on open source operating systems such as SONiC and FBOSS.

🇺🇸🦾 Uber co-founder Kalanick launches Atoms in specialized robotics push

Atoms is focused on specialized industrial robotics designed to automate tasks ‌in the mining, transport and food sectors. Kalanick is betting that task-specific machines are the key to improving industrial productivity. He is expanding and renaming City Storage Systems, the startup he started building after leaving the ride-hailing giant.

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