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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

Aptean, a global provider of mission-critical B2B industry-specific software, announced the release of Logility DemandAI+ on AppCentral, Aptean’s agentic AI platform. DemandAI+ is Logility’s AI-first demand planning and forecasting solution, designed with advanced AI, and now available with prebuilt agents ready to activate on day one. Customers can deploy these AI agents to improve forecast accuracy, instantly retrieve historical data, detect emerging trends, and flag training opportunities so planners can focus on the most important decisions and improve forecast performance. Crucially, planners stay in control. Each agent can operate autonomously or with human intervention, giving teams the flexibility to decide where AI acts independently and where a planner stays in the loop. The prebuilt agents are where organizations start, not where they stop. DemandAI+'s composable architecture means additional agents can be added as planning needs evolve and organizations can work with Logility supply chain experts to build beyond the prebuilt set, without

BIM World Paris 2026 officially opened, with Gstarsoft exhibiting jointly with ASSE, its official distributor in France, at Booth D58 & E59. The company presented its full range of open and interoperable CAD and BIM solutions, showcasing proprietary technological innovations tailored to local design workflows across Europe, as it continues to strengthen its strategic footprint in the European market. Held over two days (1–2 April) at the Paris Porte de Versailles Exhibition Centre, the event brings together more than 260 international exhibitors and attracts nearly 10,000 professionals from architecture, engineering and construction (AEC) sectors worldwide. As a central hub for live product demonstrations and industry engagement, Gstarsoft’s booth garnered strong interest from attendees, thanks to its fully integrated digital product portfolio backed by proprietary core technologies, delivering high compatibility, stable performance and flexible deployment. Richard Li, Chief Executive Officer of Gstarsoft’s BIM Business Unit, stated: “Gstarsoft has built an integrated CAD &

As more early-stage founders look for practical support to scale solutions to urgent social and environmental challenges, Sage, the leader in accounting, financial, HR and payroll technology for small and mid-sized businesses (SMBs), together with its partner Village Capital, announced the second cohort of startups joining the Sage Impact Entrepreneurship Program. The announcement follows an 85% year-over-year increase in applications. The rise reflects growing demand from under-resourced entrepreneurs for the capital pathways, mentoring, business tools and networks needed to move promising ideas into long-term impact. Powered by Sage Foundation, the company’s social impact arm, the program enters its second year with a global footprint, including the U.S. and Europe. The initiative is currently supporting 111 ventures internationally, moving steadily toward its ultimate goal of backing 165 high-impact startups. The initiative is designed to foster a community of visionary leaders who can drive systemic change through innovation and collaboration. The U.S.

ITC Infotech, a global leader in digital engineering and technology services, announced a significant expansion of its innovation ecosystem with the launch of Digital & AI Experience Centers in Bengaluru and Kolkata, and a state-of-the-art AI Studio in Pune. Inaugurated by Sanjiv Puri, Chairman and Managing Director, ITC Limited and Chairman, ITC Infotech these new facilities reinforce ITC Infotech’s commitment to accelerating AI-led transformation through co-creation, engineering rigor, and industry-focused innovation. The Digital & AI Experience Centers function as an integrated innovation network, enabling enterprises to move from experimentation to production at speed. Designed as immersive, hands-on environments, they allow clients to visualize outcomes, validate high-impact use cases, and accelerate deployment. Backed by ITC Infotech’s domain depth and engineering capabilities, the centers deliver enterprise-grade solutions across industries including Manufacturing, Consumer Goods, Retail, Hospitality, Banking, and Insurance. At the core of this ecosystem are ITC Infotech’s AI platforms. K-Fabrik accelerates development of GenAI and Agentic AI applications

AECOM, the trusted global infrastructure leader, announced a strategic partnership with Southern Methodist University (SMU), establishing a framework to advance artificial intelligence driven research, workforce readiness, and longterm talent development in infrastructure engineering. The partnership builds on AECOM’s deep domain expertise and global experience delivering complex infrastructure solutions, alongside SMU’s academic leadership and research excellence.  At the center of the partnership is a doctoral fellowship program within SMU’s Lyle School of Engineering, designed to develop advanced engineering and AI expertise in areas critical to the future of infrastructure delivery. Through sustained collaboration, AECOM and SMU aim to strengthen the connection between academic research, realworld application, and highvalue careers, reinforcing the role of universities and industry as engines of workforce development and economic growth.  “Building the infrastructure of tomorrow requires more than technology, it requires people with the skills, vision, and leadership to apply it responsibly and at scale,” said Troy Rudd, chairman and chief executive officer at AECOM. “This partnership with SMU reflects our commitment to talent and innovation, translating advanced AI research into practical solutions and meaningful careers that support

Wipro Limited, a leading AI‑powered technology services and consulting company, announced the launch of a dedicated AI-Native Business & Platforms Unit to complement its services business. This strengthens Wipro’s position in a “services as software” world, placing it at the forefront of innovation while delivering Consulting-led, AI-powered transformation for clients. With targeted investments and a distinct operating model, the unit will accelerate the development of enterprise‑grade agentic AI solutions and enhance outcome‑based value creation. It will also incubate new AI‑led business streams through an invest-build-partner approach, working in close collaboration with Wipro Ventures and its broader partner ecosystem. The business unit will bring together a rich portfolio of platforms and AI-native businesses. It will own and scale Wipro Intelligence’s platform assets, including industry platforms such as NetOxygen (AI‑powered lending), CROAMIS (integrated aviation cargo operations), IHS and HPS (healthcare platforms), Enterprise Telco AI, and delivery platforms such as WINGS and WEGA. Supported by

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