The partnership aims to enable discrete manufacturers to innovate faster with cloud technology.
HANNOVER, Germany—Hexagon’s Manufacturing Intelligence division reported in April that is partnering with Microsoft to redefine how engineers collaborate, and more. According to a release from Hexagon, its strategic partnership with the software giant aims to “enable the discrete manufacturing industry to innovate faster, with more confidence, and with new solutions that combine data from virtual engineering processes with real-world measurement of manufactured products.”
Through their collaboration, the companies will work to develop solutions that use modern cloud infrastructure to connect manufacturing and engineering systems—including Microsoft 365—in Hexagon’s Nexus digital reality platform for manufacturers. The solutions are also expected to help employees increase their productivity through cloud-accelerated simulation and AI, according to the release.
Hexagon said in the release that the partnership “aims to transform collaboration across the manufacturing value chain and apply digital twins to accelerate product innovation.”
Hexagon and Microsoft have partnered closely on the development and scaling of the open-source Fluid Framework and Azure Fluid Relay service to support the real-time sharing of data across a wide range of manufacturing industry processes and systems. The goal is to allow data created in one system to be available immediately to any other person or machine operating in another.
Under the new partnership, the Microsoft 365 ecosystem will plug into this data layer, enabling customers to connect their day-to-day office documents and processes with manufacturing tools. This gives teams the freedom to innovate with the tools they already use. For example, tooling cost data from a Microsoft Excel worksheet could be easily shared with a CAM programmer, simplifying work practices and decision-making between roles, Hexagon said.
Microsoft Teams calls can become interactive working sessions, as CAD, simulations, or metrology point clouds are “seamlessly visualized from the source data to allow on-the-spot collaboration and fast, iterative teamwork across disparate engineering and manufacturing functions.” Hexagon has already demonstrated this capability in its 3D Whiteboard Nexus tool, which is also now available as an native app in Teams, the company said.
“Microsoft’s collaboration with Hexagon is driven by a shared belief that the future of work and productivity is grounded in collaboration,” said Microsoft Corporate Vice President-Office Product Group Aleš Holecek, in the release. “Similar to how Microsoft applied the Fluid Framework to our own Microsoft 365 applications, Hexagon has extended that same open-source data fabric to manufacturing problems, enabling real-time collaboration between the many engineering disciplines it takes to make a great product, through its Nexus platform running on Microsoft Azure. It’s something that will push the boundaries for workplace collaboration for both of our platforms as we connect productivity with the engineering and operational technologies [that] ‘makers’ need to be productive today.”
Accelerating innovation through AI and high-performance computing
Hexagon is working with Microsoft to integrate generative AI models into its manufacturing software. This helps users to make better use of their capabilities while analyzing existing datasets to learn and suggest best practices for achieving desired outputs. These AI experiences include contextual advisors, offering expert users productivity-boosting automation while also helping new users to upskill faster and achieve good results with less supervision. Hexagon described this as a “valuable tool as the industry faces a growing skills shortage in many essential roles.”
According to Hexagon, the partnership will apply Hexagon’s manufacturing, engineering, and data science domain expertise and Microsoft Azure’s elastic computing and high-performance computing (HPC) infrastructure to accelerate engineering simulations by up to three orders of magnitude. This will make it possible to streamline design and engineering workflows to deliver innovative products to market at greater speed, the company said.
Hexagon’s machine learning technology is said to optimize heavy-load simulations, allowing them to run more efficiently. Azure customers will be able to use their existing contracts to access this machine learning-accelerated compute service through Nexus, allowing teams to use the IT they already have in place, according to the release.
Combining Hexagon’s measurement and reality capture technology and Nexus open-access platform with Microsoft’s cloud ecosystem is said to create “the foundation for agile and collaborative engineering applications and industrial metaverse use cases.”
Hexagon said that a digital twin using Azure compute for simulations can now draw Hexagon’s real-world, real-time data capture and present information to users without complex systems integration. By implementing these technologies, manufacturers can create new workflows across the product lifecycle that shorten time to market, improve factory-floor efficiencies, identify manufacturing problems in real-time, and improve quality.
“At Hexagon, we’re on a mission to empower the workforce by presenting them with the best available information as soon as possible and helping them to close the gap between their optimal-performance virtual designs and the physical products that they manufacture,” said Stephen Graham, executive vice president and general manager of Nexus at Hexagon, in the release. “We have achieved a huge amount with Microsoft in a few short months by collaborating closely and applying their best cloud technologies to unlock new ways of collaborating and sharing data.
“Our strategic partnership takes this to the next level, driving a shared vison and go-to-market to help our customers connect their Hexagon tools and products with third-party engineering systems and Microsoft 365,” Graham continued. “This allows for completely new workflows to be built, increasing the visibility of data, enabling sustainable innovation, and increasing productivity from design and engineering to end-of-life management.”