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We are excited to announce that four powerful new analysis blocks from our partners at QUGATE are now available on the Marketplace! They bring advanced statistical and optimization capabilities directly into pSeven Enterprise workflows, helping you build more robust and efficient designs. Modern engineering increasingly relies on high-fidelity simulations that are accurate but computationally expensive. In many real-world projects, running enough simulations to fully explore uncertainty or design trade-offs simply isn't feasible and the cost and time of each additional run is a challenge every engineering team knows well. That's why QUGATE's analysis blocks are built around a core principle: do more with less. Every block is designed to extract maximum insight from a minimal number of simulations, so engineers can quantify uncertainty and make confident design decisions without the burden of brute-force exploration. Fewer runs, deeper understanding. These tools are developed to fit seamlessly into existing engineering workflows. They offer direct compatibility with the standard

Keysight Technologies, Inc. announced Keysight Assembly, a new virtual process simulation solution designed to help manufacturers identify assembly issues earlier in development, before they become costly production problems.  Late-stage assembly failures are an expensive problem in automotive and industrial manufacturing. Recalls and warranty claims cost major U.S. automakers billions, with many defects not surfacing until the physical build stage. The later an issue is found, the more costly it is to fix, often delaying product launches and driving significant rework. Developed in collaboration with automotive OEM partners, Keysight Assembly enables engineers to replicate shop-floor processes, including part positioning, clamping, and joining, through guided workflows and templates that require no specialized finite element modeling (FEM) skills. Teams gain visibility into distortion and dimensional risks much earlier than physical prototyping, reducing reliance on trial-and-error approaches, shortening production timelines, and improving build accuracy. Keysight Assembly integrates with the company's existing stamping simulation software, allowing engineers to carry stamped-part data

IFS, the leading provider of Industrial AI software, announced a new pricing model that fundamentally changes how enterprise AI is bought and deployed. With this announcement, organizations will now have the freedom to deploy Industrial AI wherever it creates value, without constraint, and without the fear of escalating costs. IFS is disrupting enterprise software pricing models, that traditionally price ‘per user’. By moving away from user-based licensing to a model grounded in operational reality, IFS is enabling customers to pay by assets, rather than users. For example, an energy company managing 400 offshore assets pays based on those 400 assets rather than the 12,000 people and machines that need to access the data. The model aligns software investment with the operational assets customers manufacture, manage, and maintain, such as vessels, components, infrastructure, or production assets. The result for IFS customers is predictable costs that align with operations, enabling projects to expand and

Datakit version 2026.2 enhances the way organizations connect data across multiple domains, software platforms, and formats—making process integration and communication smoother and more efficient. 2026.2 version ensures reading of third-party software vendors updates : CATIA V5-6R2026 NX 2512.4000 Series Parasolid 38.1 Autodesk Fusion versions up to 2606.1.36 New specific features of version 2026.2 Reading of all non-default configurations from SOLIDWORKS, in their graphical forms Better support of SOLIDWORKS Assembly Constraints and Mates Support of glTF Metadata (extras) in both reader and writer Improved various assembly components from ZW3D files SolidEdge reader now available on ARM platforms Additional improvements General improvement on Metadata/Properties and Layers support Continuous consolidation of PMI graphics and semantics Enhancement about semantic connections between entities And performance further increased Time optimisation for JT export Support for Embedded glTF export (binaries directly stored into .glTF files) Assembly processing time optimisation for CATIA formats With Datakit, optimize and secure integration at every stage of your software and product lifecycle—from design to production—and benefit from a smoother, more reliable, and highly efficient end-to-end

Autodesk launches Wonder 3D, a new generative AI model in Autodesk Flow Studio that enables Text to 3D, Image to 3D, and Text to Image creation. Wonder 3D helps creators accelerate 3D workflows, reduce technical complexity, and move faster from concept to production. Designed for professionals and new creators alike, Wonder 3D expands access to 3D creation across game development, film, marketing, and physical prototyping. Autodesk introduced Wonder 3D, a new generative AI model within Autodesk Flow Studio, that’s designed to help artists, studios, and emerging creators turn text and images into editable 3D assets faster, more intuitively, and with creative control built in. How to get from imagination to 3D assets, faster Creating 3D characters and objects has traditionally been a complex process requiring significant manual effort. Wonder 3D changes that equation. With Text to 3D, Image to 3D, and Text to Image capabilities, Wonder 3D enables creators to generate 3D assets from simple text or

Roadzen Inc., a global leader in AI at the convergence of insurance and mobility, today announced that it will present at the upcoming virtual conference, “Powering the AI Revolution – Building the Infrastructure Behind Generative AI” hosted by Maxim Group. Roadzen’s CEO and Founder Rohan Malhotra will participate in a fireside-style discussion on Tuesday, April 7, 2026, from 8:30 a.m. to 9:00 a.m. Eastern Time. The presentation will focus on Roadzen’s mission to transform the global insurance and mobility ecosystem through its proprietary AI-powered solutions that improve safety, reduce claims costs, and enhance underwriting precision. Management is also expected to discuss recent business developments, strategic partnerships, and growth opportunities across key international markets. The Maxim Group conference will feature a range of innovative companies at the forefront of artificial intelligence, digital infrastructure, and next-generation technologies, offering investors insight into the foundational layers powering the AI revolution. Institutional investors and interested parties may register to request access to

Wipro Limited, a leading AI-powered technology services and consulting company announced that it has secured a multi‑year strategic transformation deal with Olam Group. Olam Group is a leading US$ 50+1 Billion food and agri‑business headquartered in Singapore, employing nearly 40,000 people, and majority owned by Temasek Holdings. The 8-year engagement with Olam Group is expected to exceed US$ 1 Billion in contract value, with a committed spend of US$ 800 Million. As part of the engagement, Wipro will deliver end‑to‑end transformation services to Olam Group through a consulting‑led and AI‑powered approach. The engagement will draw on Wipro’s industry expertise, partnerships with leading technology providers, and Wipro Intelligence™, its unified suite of AI‑powered platforms, solutions, and transformative offerings. Together, these capabilities will strengthen Olam Group’s core operations and support the creation of a sustainable competitive advantage. Building on this foundation, Wipro will deploy its capabilities across Olam Group’s ‘farm‑to‑fork’ value chain, delivering industry‑specific solutions that align with the

LTM, the Business Creativity partner to the world’s largest enterprises, announced that Universal AI, a dynamic online learning experience by Massachusetts Institute of Technology (MIT) Open Learning will be made available to its workforce. The program is being delivered in cooperation with upGrad Enterprise as part of LTM’s commitment to institutionalizing foundational AI reasoning across its talent pool.  LTM is focused on empowering its employees, across both tech and non-tech functions, to make informed, logic-driven decisions that drive client growth by preparing its workforce with scientific thinking and first-principles reasoning skills essential for success in an AI-driven economy and long-term career development. MIT Open Learning’s Universal AI program focuses on how AI systems work, the technologies that power them, and the ethical considerations surrounding their deployment. It is a self-paced learning experience designed by MIT Open Learning faculty, covering 16 foundational modules and vertical-specific modules, suitable for all skill levels, with

  CIMdata brings you the top ten trending PLM news stories of the prior week     PTC's Codebeamer Adopted by BMW Group to Standardize Requirements Management and Advance Digital Engineering Read More Applied Intuition and LG Innotek Enter Strategic Partnership to Advance Autonomous Vehicle Development Read More Siemens joins European Space Agency’s EPIC initiative to empower European startups Read More Siemens unveils next-gen fire safety protection, paving the way for autonomous buildings Read More Octave holds Investor Day ahead of planned spin-off Read More KORE Reports Fourth Quarter and Full Year 2025 Results Read More Accenture and Anthropic Team to Help Organizations Secure, Scale AI-Driven Cybersecurity Operations Read More SAP to Acquire Reltio: Make SAP and Non-SAP Data AI-Ready Read More Tech Soft 3D Announces Full Launch of HOOPS AI, the First AI Framework to Bring Machine Learning into CAD Applications Read More MariaDB Completes GridGain Acquisition to Power the Next Generation of Agentic AI Read More   Subscribe to the FREE CIMdata PLM Industry Summary and receive all the latest news to your

Hexagon announces new capabilities in ESPRIT EDGE, designed to reduce CNC programming effort, improve process predictability, and help manufacturers manage increasingly complex machining environments. As machine capability advances, the effort required to program and verify those machines continues to grow. The new features directly address that challenge. The first of four planned updates in 2026 introduces targeted enhancements across turning automation, Swiss-type machining, multi-axis toolpath generation, heavy machining, and cloud-connected workflows.  Extending automation across turning and Swiss machining The latest release introduces ProPlanAI for turning, mill-turn, and Swiss programming, extending AI-assisted programming into a wider range of applications. By accounting for factors such as stock removal and previous machining strategies, it supports more accurate process definition while reducing manual input. This shortens programming time, reduces reliance on test cuts, and ensures proven machining strategies are applied more consistently across teams. Support for multiple guide bushing configurations is now built directly into machine models, enabling