Commentaries & Highlights

Xometry, Inc., the global, AI-native marketplace connecting buyers and suppliers of custom manufacturing, announced comprehensive upgrades to its AI model architecture, deploying a new generation of high-capacity, interconnected models that span the entire manufacturing journey. The upgrades leverage Xometry’s proprietary data insights across five critical dimensions: geometry, manufacturability, pricing, supplier capability, and production outcomes. The smarter the platform gets, the faster Xometry can turn complex engineering inputs into manufacturing decisions. Smarter Process Recommendations From the First Upload Xometry's upgraded context-aware AI process recommender understands a part's industry application – recognizing, for example, that an aerospace component likely calls for tighter tolerances and flight-grade alloys – along with its probable material and geometry, closing the gap for first-time customers who have no order history for the model to draw on. Buyers get a manufacturing recommendation when they upload a part, providing them with the optimal process from among 20 supported manufacturing techniques. Early feedback

Tech Mahindra, a leading global provider of technology consulting and digital solutions to enterprises across industries, has inaugurated its flagship Consumer Agentic Experience Studio (CAX Studio) at its Infocity Campus in Hyderabad, creating a dedicated innovation hub for retail, consumer goods, travel, transportation, logistics and hospitality enterprises. The studio enables organizations to experience, prototype and scale Agentic AI-led transformation across the end-to-end consumer value chain, helping them re-imagine customer experiences, optimize operations and unlock new growth opportunities. Built specifically for consumer-facing industries, the CAX Studio brings together industry expertise, Agentic AI capabilities, design thinking and engineering excellence to help enterprises solve real business challenges. Visitors can explore use cases spanning intelligent merchandising, autonomous supply chains, personalized customer engagement, connected retail operations, demand sensing, inventory optimization, travel experiences and intelligent logistics. The studio serves as a collaborative environment where customers can co-create, validate and accelerate business outcomes through AI-powered transformation. The experience is further

Hexagon’s Manufacturing Intelligence Business Area has introduced OPC UA support in SpatialAnalyzer, its software for large-scale metrology and alignment. The integration connects high-precision laser measurement directly to the industrial control systems that drive robots and automated production lines, solving the accuracy problem that has limited robotic automation on large, complex parts. Large-format manufacturers across industries such as aerospace, energy, and shipbuilding are all under pressure to increase production without compromising precision. The scale of that pressure is visible in aerospace: according to Forecast International’s May 2026 Airbus and Boeing orders and deliveries report, the two manufacturers’ combined commercial aircraft order backlogs stood at more than 16,000 aircraft at the end of May 2026 – equivalent to roughly a decade of production at current delivery rates. Robots alone cannot guarantee the precision that large, complex assemblies require, which is where OPC UA comes in: a secure, common standard used to communicate between industrial

Siemens announced that The Exploration Company, a European aerospace industry startup focused on reusable space systems, has adopted software from the Siemens Xcelerator portfolio to speed the development of its space systems, reduce design complexity, improve engineering collaboration and enable faster, more scalable spacecraft development. Founded in 2021, The Exploration Company develops reusable, launcher-agnostic space systems, including the Nyx spacecraft family and high-performance rocket propulsion systems, designed to transport cargo - and eventually crew - to destinations in Earth orbit and beyond. It is working with Siemens to connect engineering disciplines in a single environment that supports efficient, scalable development. By leveraging Siemens’ integrated software across engineering and manufacturing, the company can reduce rework and accelerate product development. “At The Exploration Company, our mission is to make space more accessible through reusable technology. Achieving this requires an advanced, scalable engineering environment,” said Daniel Prudente Martins, principal EWIS & electrical interfaces, Nyx Avionics, The Exploration

Siemens announced that it has signed an agreement to acquire Precision Innovations Inc., a privately held electronic design automation software company, expanding Siemens’ EDA portfolio with AI-powered chip planning capabilities that help semiconductor teams optimize power, performance and area earlier in the system-on-chip design process. Precision Innovations develops EDA software built on the open-source OpenROAD framework to help semiconductor teams evaluate design feasibility, reduce design iterations and accelerate time to market as system-on-a-chip complexity continues to grow. The acquisition will strengthen Siemens’ EDA portfolio with AI-driven chip planning and design exploration capabilities, complementing Siemens’ existing digital design and verification solutions by enabling faster feasibility analysis and more informed downstream decisions. Precision Innovations is intended to join Siemens as a key addition to its industry-leading Digital Design Creation software, complementing existing digital design and implementation capabilities to deliver a comprehensive, end-to-end digital flow that spans architecture, implementation and the full silicon lifecycle management

MathWorks, the leading developer of mathematical computing software for designing engineered systems, announced new capabilities that let AI agents run and refine MATLAB® workflows through two new open-source tools—MATLAB MCP Server and MATLAB Agentic Toolkit—using Model Context Protocol. With these tools, agents can write MATLAB code, run it in a live session, examine outputs or errors, and iterate toward a correct result, while engineers remain responsible for validating results and applying their expertise. These new capabilities are intended for MATLAB users, applied AI engineers building agent-driven workflows, and platform teams managing AI-assisted engineering environments. By running code directly in MATLAB, agents base their reasoning on deterministic computation, numerical analysis, and executable models. This shifts AI from probabilistic reasoning to execution-based results, reinforcing engineering rigor. Engineers can verify results by reviewing outputs, comparing them to expected behavior, and refining workflows through iteration—core practices in engineering development. “As organizations adopt agentic AI in Model-Based Design and engineering, the

Rockwell Automation, Inc., the world's largest company dedicated to industrial automation and digital transformation, announced Aalo Atomics, the company building fully modular nuclear plants to power modern AI data centers, has selected Rockwell as the control platform provider for its Aalo-X test reactor.  The collaboration supports Aalo's participation in the U.S. Department of Energy Reactor Pilot Program, an initiative to accelerate the development, authorization and validation of advanced nuclear technologies. Aalo reached criticality on its pilot reactor two weeks ago, ahead of its July 4, 2026, deadline, marking a significant milestone for next-generation nuclear deployment in the United States.  Rockwell Automation provides integrated control and information solutions, including its ControlLogix® platform, to support reactor operations, system reliability and accelerated development timelines. The platform is designed to deliver safe, scalable control for a first-of-its-kind reactor system across the full lifecycle, from design to operation.  "This collaboration highlights the growing need for proven industrial control systems to enable new energy technologies at scale," said

Order intake SEK 37,799 million (32,206) Order intake, at fixed exchange rates, increased by 17%, and organically by 17% Revenues SEK 36,752 million (29,700) Revenue growth, at fixed exchange rates, increased by 24%, and organically by 23% Adjusted EBITA SEK 8,306 million (5,629) Adjusted EBITA margin 22.6% (19.0) Adjusted EBIT SEK 7,855 million (5,194) Adjusted EBIT margin 21.4% (17.5) Adjusted profit before tax SEK 7,601 million (4,855) Profit for the period SEK 5,236 million (3,216) Adjusted profit for the period SEK 5,761 million (3,713) Earnings per share, diluted SEK 4.17 (2.56) Adjusted earnings per share, diluted SEK 4.59 (2.96) Free operating cash flow SEK 3,590 million (5,090) Additional information may be obtained from Sandvik Investor Relations, phone +46 70 782 63 74 (Louise Tjeder). A webcast and conference call will be held on July 17, 2026, at 13:00 PM CEST. Information is available at home.sandvik/investors Stockholm, July 17, 2026 Sandvik Aktiebolag (publ) Stefan Widing President and CEO This information is information that Sandvik AB is obliged to make public pursuant to the EU Market Abuse Regulation and the Securities

Rapidus Corporation and Cadence announced a collaboration to advance agentic AI for advanced-node system-on-chip (SoC) design by integrating the Cadence® InnoStack™ AI Super Agent into the Rapidus AI-Agentic Design Solution (Raads). The joint effort combines Rapidus’ AI-native design and manufacturing ecosystem for advanced-node semiconductors with Cadence’s agentic AI design orchestration technology to help design teams improve productivity, accelerate time to market and enhance design quality across the SoC design lifecycle. As part of this collaboration, Rapidus is targeting up to a 2X improvement in design turnaround time (TAT) over traditional flows. The buildout of AI infrastructure, and the coming wave of physical AI-powered systems, requires tight, system-level co-optimization across semiconductor design, manufacturing, packaging and systems. Agentic AI is critical for this next generation of advanced SoCs. As part of today’s announcement, Rapidus is extending its Raads lineup with the introduction of Raads Navigator and Raads Indicator to enhance quality assurance and

LTM, the Business Creativity partner to the world's largest enterprises, announced a strategic partnership with Glean, the enterprise AI platform that connects and understands enterprise knowledge across the applications, systems, and workflows employees use every day to help organizations unlock greater value from their AI investments. Through the partnership, LTM will combine its deep domain and technology expertise and its BlueVerse™ agentic AI ecosystem with Glean’s enterprise context and intelligence layer to help organizations drive productivity, accelerate decision-making, and scale AI adoption across the enterprise. The partnership will focus on enabling large enterprises to address one of the biggest barriers to AI success: fragmented knowledge spread across multiple business applications, data sources, and workflows. By leveraging Glean’s AI platform and its enterprise knowledge graph, AI-powered search, assistants, agents, and integrations across multiple enterprise data sources, organizations can provide employees with secure, permission-aware access to the trusted enterprise context they need to find information,