by Gary Mintchell | Jun 25, 2025 | Robots, Sensors, Software, Technology
This is part two of my reports from the Hexagon Live Global Event. I had been to one previous event for only a day. Hexagon is such a large company comprised of many parts that I had a bit of struggle understanding it all.
The core Hexagon involves measurement, metrology. They have precision measurement tools for the small, medium, and very large targets. Tools for building applications complement these instruments.
Hexagon also comprises much software, having acquired Intergraph years ago and others since. Company focus has become easier with the announced spinoff of much of the software business into a new company called Octave.
Octave
Mattias Stenberg, who is leading Octave, explained the new company’s focus taking the musical analogy of an octave—taking it to the next level. The core of the new company consists of these four businesses from Hexagon:
- Asset Lifecycle Intelligence—Intelligence that drives decision-making efficiency and lifecycle value creation
- SIG—Safety, Infrastructure, and Geospatial—Act on information to save lives, improve infrastructure and enhance services
- ETQ—ETQ Reliance—ETQ Reliance is a cloud-native quality management system solution (QMS), powered by an agile platform that drives 40+ best-in-class applications adaptable to your unique environment. ETQ is the leading provider of quality, EHS and compliance management SaaS software, trusted by the world’s strongest brands.
- Bricsys—Hexagon AB, a global leader in digital solutions, today announced the acquisition of Bricsys, a fast-growing developer of CAD (computer-aided design) software that has been at the forefront of providing open, collaborative construction technology solutions since its founding in 2002. Its CAD platform, BricsCAD, supports 2D/3D general, mechanical, and sheet metal design and building information modelling (BIM) in one system.
I don’t know if this was supposed to be another musical reference, but as a guitarist, I’ll take it as such. Octave is Intelligence at Scale. They see themselves not just as a builder of software, but as helping customers evolve, adapt, predict, prevent by providing pre-trained agents. The platforms will be embedded, context aware, mission critical systems, validated.
This comment struck me. I concluded my first report with the thought that software becomes more powerful, yet it’s still trying to solve the problems I had in 1977. With power comes complexity. Stenberg noted a survey they conducted with C-level executives see more software, more complexity, more dashboards…and yet, less actual visibility. Systems that don’t talk to each other creating silos.
My concluding thought on my last essay was that we must not have a technical problem—we must have a people problem.
Only 20% of execs told them they are getting something from digital transformation. OK, I can’t resist thinking of an irony—yet they order their employees to use AI, or else???
They envision a process where customers build digital first, where the digital twin is a reality (he calls it “mirrorworld”). These will enable the movement from reactive to predictive (another future vision I’ve written about for 20 years or more).
A final vision—Create self-aware, resilient infrastructure.
Robotics
Moving on to another product line—robotics. I shot a short video of Hexagon’s newest robot—Aeon. This “humanoid”, or human-form-factor, robot exhibits quite advanced ability to do the work of human assemblers. When I asked why they developed the robot to look and act like a robot, they told me that existing work stations are designed for humans. Therefore, this is an easy replacement for non-existent human workers on the assembly line.
Digital Twins
Returning to digital twins. I spoke with Jeremy Treverrow about uses of digital twins. Initially, customers could use Hexagon’s precision measurement technology to create a digital twin of a component part. Perhaps this is a service and repair part no longer in production with perhaps no good design information existing.
Using the Hexagon Design X software set, the imported digital twin can be exported in an igis file, used for simulation, and can even design a manufacturing process around it.
A lot of power.
by Gary Mintchell | Jun 21, 2025 | Data Management, Software
I recently wrote an article for my website about technology complexity within industrial technology. Engineering managers have stood at conferences pleading with the standards and technology developers to find ways to simplify interfaces and connectivity.
OPC Foundation keeps adding layers of companion specifications. ODVA members listened to engineers who need help implementing EtherNet/IP (or just ethernet networks) and proceeded to ignore the plea. Paul Miller, an analyst at Forrester reported from a survey where 90% of executives reported data problems from their digital transformation. 71% reported measurement related data problems.
Mattias Stenberg, head of the new software company spinning out from Hexagon called Octave, reported from another survey his group has performed that only one in five executives thought they were getting any value from digital transformation.
The Vice President of Product Development of the company where I worked in the 1970s (back in the day before layers of vice presidents) offered a job to me to leave manufacturing and become his data manager. He was prescient. 45 years later, companies are still trying to manage data. Solutions have become more complex, technology has advance exponentially, yet we still have problems gathering, refining, contextualizing, and using data.
These thoughts were generated from the Hexagon Live Global Conference I attended this week in Las Vegas. I have a lot of trouble wrapping my head around just who Hexagon is. Evidently, I’m not alone. But the company is making it easier by splitting off four groups into Octave.
The simplest definition, yet also most definitive, came from Ola Rollén Hexagon Chairman recounting the company’s 25-year history of growth. “Hexagon is the world’s most sophisticated measuring tape.” Indeed, several of my interviews delved into the world of accurately measuring the very large and the very small. This year’s slogan, “When it has to be done right.”
The new ATS800 laser tracker can easily capture complex shapes with up to micron precision. The company released Autonomous Metrology Suite, software developed on its cloud-based Nexus platform that is designed to transform quality control across manufacturing industries worldwide. By removing all coding from coordinate measuring machine (CMM) workflows, it helps manufacturers speed up critical R&D and manufacturing processes as experienced metrologists become harder to find.
Hexagon and several partners are solving what has been an intractable and troubling problem—data locked into paper-based formats such as pdf files. Several demonstrated the ability to read text and pdf documents that are unstructured data, use a form of AI to tag the data, and then extract to a useable database. This is truly a great advance. Several workforce solutions designed to give companies the ability to attract younger workers into technical positions were demonstrated on the show floor.
Stenberg talked of another problem executives cited—data silos that prevent people from using data to make good decisions. I have been writing about solutions designed to break through data silos for 25 years. I’m beginning to wonder if it is not a technology problem. Perhaps it’s a people problem.
by Gary Mintchell | Jun 19, 2025 | Robots, Software
Everyone wants to be NVIDIA’s best friend. This friendship focuses on the world of robotics and simulation. In brief:
Flexiv launches the Flexiv-Isaac Bridge App, empowering developers to design, test, and deploy force-controlled robotics applications in hyper-realistic virtual environments.
The interesting thing is the force-controlled part. I remember an application I wrote about a few years ago where the developer of a robotic prosthetic arm had a design goal of being able to pick up a grape with squishing it. I watch these technologies closely anticipating even greater use cases that will help us all.
Flexiv announced release of the Flexiv-Isaac Bridge App, bringing high-fidelity force-control simulation to NVIDIA’s Isaac Sim. This partnership enables robotics developers and end-users to program, model, test, and deploy complex force-controlled, AI-empowered robotics applications in simulated environments that closely mimic contact-rich real-world conditions.
To highlight this new capability, Flexiv’s engineering team released a video in which a simulated Rizon 4 robot completed the classic Tower of Hanoi puzzle in Isaac Sim. The simulation exactly replicated the robot’s real-world movements and showcased its force-controlled “hole search” and compliant movement capabilities. This underscores Flexiv’s commitment to minimizing the sim-to-real gap to improve training, programming, and operational performance. Additionally, this demonstration emphasizes Flexiv’s drive to ensure seamless compatibility with one of the world’s most widely used virtual robotics platforms.
Isaac Sim enables developers to build hyper-realistic, detailed virtual environments, while Flexiv’s Elements programming system allows robotic applications to be effortlessly programmed and refined. With the Bridge App connecting these tools, customers are empowered to create applications, build digital twins of their facilities, design mission profiles, and run high-fidelity virtual tests before deploying robots in real-world scenarios. These simulations provide valuable insights into application performance, risk assessment, and operational efficiency.
By leveraging both Isaac Sim’s ability to generate real-world simulations and Flexiv Elements’ support for simulating real-world force-based actions, Flexiv aims to accelerate the application development cycle. With developers now able to refine robot movements and iteratively test applications from anywhere in the world, development costs can be significantly reduced, while remote support can ensure greater reliability in real-world deployments.
In its continued commitment to community-driven innovation, Flexiv has made its Tower of Hanoi codebase freely available on GitHub. This initiative encourages developers, academics, and customers to build upon Flexiv’s work, fostering a collaborative ecosystem that promotes creativity and customization.
By combining force-controlled robotics and effortless programming with NVIDIA’s cutting-edge simulation tools, Flexiv is revolutionizing development workflows. This leads the way toward safer, smarter, and more adaptable robotic systems that transform both application development and human-robot interaction.
by Gary Mintchell | May 5, 2025 | Software
Ah, competition for Adobe. And finding good, small application for AI beyond all the hype we hear. Foxit has upgraded its AI Assistant within the Foxit PDF Editor.
The enhanced AI Assistant includes features such as chat with image, multiple document analysis, automatic bookmarking, and additional read-aloud options. A new tab in the ribbon toolbar also provides users with streamlined access to the powerful suite of AI-driven tools designed to simplify and supercharge document management workflows.
The dedicated ribbon tab refers to a specific, clearly labeled section within the top toolbar (aka the “ribbon”) of the Foxit PDF Editor interface that is solely focused on AI tools. Think of the ribbon as the strip of tabs at the top of applications like Microsoft Word or Excel – where you see tabs like “Home,” “Insert,” “Review,” etc. A dedicated ribbon tab means Foxit has created a new, standalone tab specifically for its AI Assistant, placing AI-related tools – like AI Chat, Document Translation, and AI Bookmark – in one easily accessible spot. This kind of integration signals a shift from AI being a hidden or secondary feature to becoming a core part of the user interface and user workflow.
What’s New in Foxit’s AI Assistant:
- AI Chat Enhancements
- Chat with Images – Users can now upload images to extract the text in the image, translate the text, or even describe the image.
- Analyze & Compare Multiple Documents
- Easily extract key details and compare content across multiple PDFs simultaneously.
- AI Bookmark
- Automatically generate bookmarks based on document structure or specific page ranges, making navigation and organization easier than ever.
- Intelligent Read
- Documents can now be read aloud with improved voice options, enabling hands-free review and improved accessibility.
by Gary Mintchell | Apr 23, 2025 | Software, Standards, Sustainability
While I am on a standards reporting kick, this news reflects the growing collaboration among formerly competitive standards development organizations. I wrote recently about how OPAF is actively taking an end user view into standards collaboration and rationalization. Working together usually brings benefits to users.
From the statement of purpose: Accurate energy consumption data is essential for companies aiming to achieve climate-neutral production. To support this goal, a consortium of organizations has recently published a groundbreaking specification for interoperable and efficient energy management in industrial and process automation.
\A key goal of the mechanical and plant engineering industry is to achieve climate-neutral production in the future. This effort is supported by the European Union’s European Green Deal, which aims to make Europe climate-neutral by 2050. In order to achieve this goal and implement many other use cases, accurate data on energy consumption in production is crucial. The consortium, consisting of the organizations ODVA, OPC Foundation, PI and VDMA, has now jointly published version 1.0.0 of their groundbreaking specification for interoperable and efficient energy management in industrial automation and process automation. This group is chaired by the VDMA.
Dietmar Bohn, Managing Director of PNO, explains: “The measurement and analysis of energy consumption in machines and systems is an extremely important topic for the future. We are pleased to make an active contribution to this important initiative to optimize energy consumption and thereby reduce the harmful effects on the environment caused by waste and surplus.”
This specification defines a standardized information model based on OPC UA that enables comprehensive energy management in industrial automation. “This Power Consumption Management collaboration ensures that end users have a highly standardized and interoperable means of achieving their environmental, social and governance (ESG) goals,” explains Dr. Al Beydoun, President and CEO of ODVA.
The introduction of this standard will make energy management in industry considerably easier: companies can now record, analyze and use precise and consistent energy data even more efficiently in order to further increase their energy efficiency. This not only helps to reduce operating costs, but also to reduce the ecological footprint. Standardization makes it possible to implement innovative technologies and best practices faster and more effectively, which contributes to more sustainable and environmentally friendly production in the long term.
The specification essentially comprises two main content fields: Firstly, monitoring, i.e. the display of all types of energy consumption, including electrical energy as well as energy from air, water or coal. Secondly, standby management, which is understood to mean the control and display of various energy-saving modes on machines and components. It is based on the results of the research project “Development of energy management interfaces for IoT technologies (IoTEnRG)”. “The aim of the IoTEnRG research project was to make the results available to industry. We were able to contribute our results directly to the Joint Working Group and thus significantly accelerate the development of the OPC UA Companion Specification,” says Prof. Dr. Niemann from the Institute for Sensor Technology and Automation at the University of Applied Sciences and Arts in Hannover.
“For digitalization, we need an agreement on a common understanding and description of data, including in the energy sector. OPC UA provides exactly that. I am proud that with this joint group, we can also contribute to the energy transition and thus promote optimized energy savings through standardized and efficient monitoring,” says Stefan Hoppe, President of the OPC Foundation.
The VDMA has defined a fundamental standard for the entire mechanical and plant engineering industry, known as “OPC UA for Machinery”. Various functional building blocks are specified in this standard. A new building block for energy management is being developed based on the publication. “The four organizations have been working hard to harmonize and standardize information on energy consumption in manufacturing. This is an excellent first step towards defining an upcoming OPC UA Building Block for mechanical engineering that will bring the machine and plant manufacturing industry a big step closer to the goal of climate-neutral production,” says Andreas Faath, director of the VDMA Machine Information Interoperability department.
by Gary Mintchell | Apr 23, 2025 | Software, Standards
I have mixed feelings toward standards organizations and consortia. Some engineers use their work to build systems. I’m never sure what the final benefit is. Some have built technology in everyday use—OPC, ODVA, FieldComm (HART, FDT), Profinet. Some publish papers that I have hear practical outcomes emanating from.
Yet, I still report on some of these. You never know how some engineers may benefit from the work while building their systems.
This news (I’m catching up on news that came my way while traveling and thinking about what I learned there) comes from The Digital Twin Consortium (DTC), a unit of the Object Management Group. My last two trips and several subsequent interviews and press events all worked in the term Digital Twin somewhere in the discussion. So, it’s relevant.
The Digital Twin Consortium (DTC) published a whitepaper titled Spatially Intelligent Digital Twin Capabilities and Characteristics to help business executives, enterprise, business, and solution architects, system designers, and developers understand the base concept of spatial information relative to the capabilities and characteristics used to describe locational intelligence in the context of digital twin capabilities. The concepts described in the whitepaper apply to a broad spectrum of digital twin use cases, industries, and disciplines.
The whitepaper provides organizations guidance to:
- Document the capabilities and resulting value streams provided through the ability to visualize, understand, and analyze the geospatial locational characteristics of real-world entities and conditions.
- Understand the distinction between different forms of locational representations, including geometric (3D models), spatial, and geospatial models.
- Document the key characteristics of locational representations in a digital twin so organizations can consistently capture locational attributes, enabling digital twin system-to-system integration.
- Capture the Spatially Intelligent Digital Twin’s locational characteristics in the context of capabilities using the DTC’s Capabilities Periodic Table (CPT).
By completing the steps outlined in the white paper, organizations can define locational capabilities and data requirements for their digital twins. They can design, develop, and operate digital twins that meet organizational needs and provide business value.
The Digital Twin Consortium Architecture, Engineering, Construction, and Operations (AECO) Working Group prepared the whitepaper. Download the DTC website’s Spatially Intelligent Digital Twin Capabilities and Characteristics whitepaper. Become a DTC member and join the global leaders in driving digital twin evolution and enabling technology. DTC is a program of Object Management Group.
