CIMdata Blog

COMSOL, an independently owned, global leader in modeling and simulation software, announced that it has launched the COMSOL Innovation Contest, which will be held at the COMSOL Conference 2026 Boston, happening October 7–9. During the conference, six finalists will have the opportunity to give a 10-minute presentation showcasing their simulation projects on the main stage of the event — with the winner being awarded a $50,000 grand prize, as voted on by a panel of judges. A second-place prize of $5,000 will be awarded to the winner of the attendee-chosen Best Presentation by Popular Vote award. "The goal of the COMSOL Innovation Contest is to spotlight the work that our users are doing, that is, how they're using COMSOL Multiphysics to create impact in their own research and product development," said Oscar Littmarck, VP of marketing for COMSOL. "We hope the winning innovations inspire other researchers and engineers." Individuals and teams are invited to

Accenture has invested, through Accenture Ventures, in Replit, an AI-powered software creation platform company, to help enterprises accelerate the creation of new digital platforms using AI-driven software development. As part of this investment, the two companies are also entering into a strategic partnership. As organizations across industries pursue AI-driven reinvention, the way software is built is beginning to shift. Traditional development cycles—often slowed by complex environments, infrastructure setup, and lengthy coding processes—are giving way to AI-native approaches that enable teams to move from idea to working application in significantly less time using natural language prompts and agentic AI—an approach increasingly referred to as “vibe coding.” As part of this partnership, Accenture will collaborate with Replit to explore how AI-driven development can be applied to enterprise environments. The teams will work together to identify practical use cases and new development workflows that can be scaled to Accenture’s clients globally. “Every enterprise wants to move faster—from idea

Blackline Safety Corp. ("Blackline" or the "Company"), a global leader in connected safety technology, announced that it has entered into a definitive arrangement agreement (the “Arrangement Agreement”) with an affiliate of Francisco Partners Management, L.P. (“Francisco Partners” or the “Purchaser”), pursuant to which the Purchaser will acquire all of the issued and outstanding common shares (the "Shares") of the Company (other than as described below in respect of the Rollover Shareholders) (the “Transaction”) for up to $9.50 per Share (the “Total Consideration”), comprised of $9.00 per Share in cash on closing (the “Cash Consideration”) plus a contingent value right of up to $0.50 per Share (the "CVR"). The Cash Consideration and Total Consideration (assuming the maximum cash payment of the CVR) represent an aggregate fully diluted equity value of approximately $804 million and $850 million, respectively, based on 100% of the Company’s Shares and excluding the impact of Rollover Shares. The Cash Consideration

Accenture has acquired Keepler Data Tech, a Spanish cloud-native AI and data company. The acquisition will expand Accenture’s capabilities to help clients across industries reinvent their core business processes with AI solutions grounded in strong data foundations. Founded in 2018, Keepler offers AI and data capabilities that cover the end-to-end value chain, from defining a data strategy and building cloud-native data foundations to deploying advanced analytics, gen AI and agentic AI that embed intelligence into core business processes. With a value-realization approach supported by secure, modern data platforms and data readiness, Keepler focuses on industrialized delivery, ethics, compliance and robust observability to optimize automation and decision-making. This comprehensive model helps organizations modernize their data architecture, implement DataOps and MLOps at scale and activate AI across the enterprise to deliver tangible business impact. More than 240 Keepler professionals will join Accenture. The company, with presence in Madrid, London and Lisbon, has a team that

Stratasys Ltd. unveiled a slate of new application-driven software capabilities, materials, and platform enhancements designed to empower manufacturers to push additive manufacturing beyond concept models and into production parts faster than ever. Stratasys will enable organizations to move the production of more parts and tools from traditional methods into additive workflows, by streamlining design and ease of use, improving reliability, and expanding materials and platform capabilities. This approach will dramatically increase speed and performance while reducing costs. “Manufacturers are seeking more applications for additive manufacturing, and that’s exactly what these innovations are designed to provide,” said Rich Garrity, President, Chief Business Unit Officer. “Whether it’s designing tools faster, producing high-performance parts, or getting more accuracy out of production systems, we’re giving teams practical ways to put additive to work every day.” Engineering-Focused PolyJet Performance with the J850™ Core The J850™ Core printer expands the PolyJet™ technology lineup with a lower-cost system built for

Elysium has released CADfeature 20.0 M1. Release Highlights A regularly schedule maintenance release on top of CADfeature 20.0 containing fixes across many areas of CADfeature and targeted enhancements to improve operation and productivity. Function Enhancement Direct UI-to-Help Integration Context sensitive [Help] is available throughout system-configuration dialogs Users can launch the relevant HTML documentation directly from any configuration item Support New CAD Version This release added support for new CAD versions CAD Versions added in 20.0 M1 Supported Versions Creo Parametric 12.4 5.0 – 12.4 To view the original press release, please click here. Search for Elysium on CIMdata.com

Oracle announced Fusion Agentic Applications for finance and supply chain operations. The new agentic applications are powered by coordinated teams of specialized AI agents that are outcome-driven, proactive, reasoning-based, and engineered for enterprise execution. Built into Oracle Fusion Cloud Applications, Fusion Agentic Applications for finance and supply chain can make and execute decisions within business processes by securely accessing unified enterprise data, workflows, policies, approval hierarchies, permissions, and transactional context. “Finance and supply chain teams are under constant pressure to close faster, respond to disruptions sooner, and deliver more with the same resources, but this is extremely difficult when so much time is still tied up in manual follow-ups, handoffs, and moving work across systems,” said Steve Miranda, executive vice president of Applications Development, Oracle. “With agentic applications that can reason, decide, and act against defined objectives, finance and supply chain teams can move from passive productivity to systems that proactively carry work forward, improve

ModuleWorks has released version 2026.04 of its software components for digital manufacturing, introducing GPU-accelerated machine simulation and extending its VoluMill and SmartRoughing technologies to multi-axis and turning applications. VoluMill for Area Roughing & Rotary Machining ModuleWorks 2026.04 brings VoluMill’s high-efficiency pattern to multi-axis roughing and turning, maintaining stable cutting conditions and consistent tool loads, even in corners, closed pockets and complex transitions. By dynamically controlling chip load and tool engagement, and applying trochoidal motion where needed, VoluMill enables consistently high feed rates and eliminates load spikes through features like ACTC (Adaptive Chip Thickness Control). For CAD/CAM OEMs, the integration with the ModuleWorks 5-Axis Core simplifies implementation in existing CAM systems, enabling efficient adoption of advanced multi-axis roughing and turning strategies. Automatic 3+2 SmartRoughing ModuleWorks has integrated SmartRoughing technology into its 3+2 axis roughing. Using tooling data from Kennametal combined with machining physics, the system automatically optimizes cutting depths across multiple machining directions. This enables efficient material removal

AI Superagent works like a CAM programmer. Within ENCY, it can access the workflow, analyze the task, make decisions, and act as the process unfolds. This is the key difference between a conventional AI chat and an agentic AI system built for an AI-first CAM workflow. One of the two core scenarios is working with a 3D model. A user uploads a model and assigns a task, and AI Superagent approaches the part like a technologist: it develops a machining strategy, determines how to implement it in ENCY, creates operations, adjusts parameters, runs calculations, checks simulation results, and refines the outcome when needed. The second core scenario is working with an existing project. AI Superagent can connect not only to a new model, but also to an active project: continue the work, make changes, help refine the solution, and move forward from the project’s current state rather than starting from scratch. AI Superagent

We officially announce the 2nd Hot Fix of 2025.1 for ANSA, EPILYSIS, META, FATIQ and KOMVOS with critical bug fixes and selected implementations. Follows an overview of the most important items: Known issues resolved in ANSA CAD to ANSA Translators CAD to ANSA might fail for parts that contained the special character "%" in an attribute value. CAD Import/Export During export of STEP files, torus surfaces were not converted correctly. Sketch 3D Unexpected termination would occur when projecting a curve on shells with "Project on Source" direction. GUI ANSA would cease to respond in cases where multiple models were loaded in different windows, and the Fringe Plot was active. In addition, screen view would jitter upon mouse click, while space mouse was active. General "NODE enumber" function would cause an abnormal software abortion when called from the search engine. Moreover, referenced entities would not return the nodes using them. Model Browser Upon execution of the function "Detect Instances", the Transformation Matrices were not calculated properly. Modular Run