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ABB and LandingAI Unleash Generative AI for Robotic Vision

I’ve been trying to guide AI discussion toward useful applications rather than overly hyped general visions. Let the people dealing in billions of dollars promote themselves. For those who have real work to do, look into the details of AI news to discern real benefits. Perhaps this news from ABB fits that model. This news also follows the trend of larger companies investing in specialist companies in order to drive additional benefits for their products and solutions.

In this case, ABB (robotics) has invested in LandingAI in order to improve the company’s robotic applications for customers. Oh, and we get a new TLA (three-letter acronym). Note the specific examples.

In brief:

  • Strategic investment secures ABB’s use of LandingAI’s vision AI capabilities, such as LandingLens, for robot AI vision applications
  • Pre-trained models, smart data workflows and no-code tools reduce training time by 80% and accelerate deployment in fast-moving sectors including logistics, healthcare, and food & beverage
  • First of its kind collaboration marks a major step towards ABB Robotics’ vision for Autonomous Versatile Robotics – AVR

This first of its kind collaboration will integrate LandingAI’s vision AI capabilities, like LandingLens, into ABB Robotics’ own software suite, marking another milestone in ABB’s journey towards truly autonomous and versatile robots.

“This announcement is the latest in our decade-long journey to innovate and commercialize AI, benefitting our customers by enhancing robot versatility and autonomy to expand the use of robots beyond traditional manufacturing,” said Sami Atiya, President of ABB Robotics & Discrete Automation. “The demand for AI in robotics is driven by the need for greater flexibility, faster commissioning cycles and a shortage of the specialist skills needed to program and operate robots. Our collaboration with LandingAI will mean installation and deployment time is done in hours instead of weeks, allowing more businesses to automate smarter, faster and more efficiently.”

As part of the collaboration ABB has made a venture capital investment through ABB Robotics Ventures, the strategic venture capital unit of ABB Robotics, driving collaboration and investment in innovative early-stage companies that are shaping the future of robotics and automation. Financial details of the investment were not disclosed.

LandingAI’s LandingLens is a vision AI platform that enables the rapid training of vision AI systems to recognize and respond to objects, patterns or defects with no complex programming or AI expertise required.

Through this collaboration, ABB Robotics will reduce robot vision AI training & deployment time by up to 80 percent. Once deployed, system integrators and end users can retrain the AI for new scenarios on their own, unlocking a new level of versatility.  This is a critical step in scaling robot adoption in dynamic environments, beyond traditional manufacturing, especially in fast-moving sectors such as logistics, healthcare and food and beverage. ABB is already piloting LandingAI’s technology and actively working to integrate it into existing vision AI applications, including item-picking, sorting, depalletizing and quality inspection.

More information about RobotStudio with generative AI assistant:

  • RobotStudio Al Assistant provides real-time, step-by-step guidance for robot programming
  • More intelligent and easy-to-use generative Al interface creates faster, easier commissioning and boosts productivity
  • Another step in enhancing robot accessibility and versatility beyond traditional manufacturing

Powered by a Large Language Model (LLM) that understands and interprets human language, RobotStudio AI Assistant draws from ABB’s comprehensive library of manuals and documentation to deliver high-quality, context-rich responses to questions, enabling users to set up faster and find rapid answers to questions and technical challenges.

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Abby Connect Scales “Personalized” Service and Launches AI Receptionist

I wrote recently about my mixed feelings about AI-generated conversations for such situations as customer support and service. This news brings artificial human voice conversations to the receptionist. This is probably better than the “press 1 if…” interfaces we’ve experienced for the past 40 years. It’s remains impersonal, but a touch more friendly. This is another news item from Deepgram, about whom I’ve written many times in 2025.

Deepgram announced that Abby Connect, a premier virtual receptionist service, has successfully launched its new AI Receptionist product line built on Deepgram’s real-time speech-to-text technology. 

Note the wording of “human first impression.”

For more than 20 years, Abby Connect has built its reputation on creating a warm, human first impression for every call. But scaling that personal service 24/7 – while managing rising client demand and costs – presented a major challenge. Abby Connect turned to Deepgram to help strike the right balance between efficiency and empathy.

After evaluating Google Cloud Speech-to-Text, AWS Transcribe, AssemblyAI, and Whisper, Abby Connect found Deepgram’s performance to be unmatched:

  • Accuracy in the Real World – Deepgram outperformed competitors on noisy calls, including from HVAC job sites.
  • Low Latency for Natural Conversations – Sub-300ms streaming latency enabled real-time, two-way AI dialogue without delays.
  • Ease of Integration – Developer-friendly APIs and transparent pricing simplified rollout.
  • Domain Customization – Tuned for industry-specific terminology, from legal to medical.

Abby Connect is now exploring how to extend Deepgram-powered transcription into even more advanced conversational AI, including large language models trained on call data to detect intent, measure sentiment, and enable smarter escalations.

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Unified Device Integration Roadmap Solidified Following FieldComm Group and FDT Group Business Combination

My last post discussed how the market has changed enough that consolidation of technology and business associations has become inevitable. And there are benefits. This news shows some of the benefits of previously competing organizations working together.

In brief:

Updated FDI technology specification paves the way for single device integration for process and factory automation device management.

FieldComm Group’s Strategic Integration Committee (SIC), composed of leading automation industry suppliers and Standards Development Organizations (SDOs), has announced the official timeline for releasing the updated Field Device Integration (FDI) Specification. This milestone marks a critical step toward unifying device integration across process, hybrid, and factory automation.

Following the transfer of FDT/DTM assets to FieldComm Group in 2024, the organization has significantly accelerated its efforts toward unified device integration. The resulting roadmap is a product of coordinated work by the SIC and specialized working groups. Comprised of board-level companies from FieldComm Group along with key leaders from OPC Foundation, ODVA, and PROFIBUS & PROFINET International (PI), the SIC has led the harmonization of FDI and FDT technologies. This collaboration aims to deliver a unified, intuitive, and scalable device integration standard that addresses the evolving needs of modern manufacturing, helping both end users and vendors.

Key enhancements in the updated FDI Specification:

  • Compliance, incorporating the requirements of the Cyber Resilience Act (CRA)
  • Unified device integration standard for process and factory automation
  • Support for legacy systems, enabling modernization without infrastructure replacement
  • Real-time OT/IT connectivity through a common information model (PA-DIM)
  • Support for modern platforms and development tools
  • Empowering intelligent device and lifecycle management with protocol tunneling support, also known as nested communications

FDI specification timeline for migration:

  • End of 2026: Release of the updated FDI Specification
  • End of 2027: Deployment of the updated FDI Developer Toolkit
  • 2029: Market availability of registered FDI-enabled systems and devices

Following are statements of leaders of participating organizations:

“Today’s industrial systems are more complex than ever, yet this complexity must not compromise interoperability,” said Steve Biegacki, Chair of the Strategic Integration Committee and former Managing Director of the FDT Group. “Our goal is to deliver a unified device integration solution that enhances data interoperability with OT/IT systems while supporting innovative features for modern manufacturing. This approach also provides a practical migration path, safeguarding existing investments and preparing the industry for future advancements.”

“As a co-owner of the FDI specification, the OPC Foundation is committed to robust and interoperable device integration for OPC UA users and fully supports the harmonization of FDI and FDT technologies to achieve this goal,” said Stefan Hoppe, President of the OPC Foundation.

“ODVA is pleased to support the harmonization of FDI and FDT technologies to enable enhanced device integration interoperability for users of EtherNet/IP,” said Al Beydoun, President and Executive Director of ODVA.

“PI appreciates that the FieldComm Group initiated the valuable discussions to determine the need for merging FDI and FDT, taking into account the needs of interested companies, as well as the technologies of the four participating standards development associations,” said Dietmar Bohn, Executive Director of PI.

Final statement of benefits:

This update will enable manufacturers to transition toward more intelligent, responsive operations, unlocking the full value of industrial data and modern automation architectures.

Technology Alternatives

I have written about alternative technologies several times over the past 20 years. I’ve speculated about the power of Raspberry Pi for various control projects. Open source and standards-based programming tools. Some projects have become public using alternatives to big-name tools.

Can a company switch to different technologies?

David Heinemeier Hansson, co-founder and Chief Technology Officer of 37 Signals, explained a major change at the company moving from Apple-technology-based software development to a Linux-based one.

37 Signals developed the popular collaborative work tool Basecamp. Also the email client I use, HEY. Heinemeier Hansson co-wrote with partner Jason Fried the books Remote: Office Not Required, It Doesn’t Have To Be Crazy At Work, and Rework.

When the company released HEY, Apple gave them a lot of App Store grief. 37 Signals had been an almost exclusive Apple shop. The fallout from the hassle Apple gave them caused Heinemeier Hansson disenchantment with Apple. He immediately switched from iPhone to Android. Found out he didn’t lose anything in the transition. Then he explored Linux on the desktop. He didn’t think that would ever work, but he found a way around.

I should mention that he is a major force behind the programming language and IDE Ruby on Rails. He began this journey with Ubundu and Omakub on a less complex computer than the Mac. He then worked on his own open source Linux distribution called Omarchy with Hybrland windowing built on the Arch Linux distribution.

This worked so well for his own development work that he is transitioning all the company’s software development work to that platform.

Can you develop with new technologies?

Yes, if you have the talent and will to change.

Intelligent Application of Technology Boosts Business at Hill Manufacturing

The marketing people at Hexagon tried to set up a meeting with Mike Payne, co-owner and president, Hill Manufacturing in Tulsa, OK, while we were at the Hexagon Live event in June in Las Vegas. We couldn’t connect then, but we finally caught up this week. I wanted the meeting because while talking to product people at the company brings in depth product information, people who actually use the products for daily success bring an entirely refreshing perspective.

Payne graduated from the University of Tulsa with a degree in management information solutions. He and a couple others founded a software company focused on shop floor data collection. The software collected data from automation and sensor devices providing the data to ERP. He eventually left the company pivoting into making investments. After a period of time, he decided he missed manufacturing purchasing Hill Manufacturing from the Hill family around 2017. 

Hill Manufacturing is a production machine shop. The company had been in business for about 40 years pretty much making the same parts for the same customers in the same way.

Payne dived in studying Hill’s current processes. He began to bring technology into the processes leveraging it for productivity improvements. Now, he says, it’s more of a tech company that makes parts than a standard machine shop.

The key driver is driving productivity. Like everyone these days, he experienced the pain of finding new employees. Plus, leveraging technology to improve processes enables his current employees to produce more parts. It’s a tough business. Whittling out a little more profit for each part keeps the company healthy.

Staying active on the investment side, Hill had acquired several other machine shops. The company has grown from 22 spindles to 63. With each acquisition, he’s discovered many improvements to productivity and profitability comes with upgrading technology on the machines he’s acquired. Upgrading older machines with new technology provides a new lease on life that he calls a Second Round of Life.

He mentioned AI in the front office. Since I was working on a podcast and essay on AI, I was all ears. Hill uses AI in a couple processes. Using Toolpath application, they take the 3D model from the drawing and use AI with their CNC programming software to do the actual programming. It’s theoretically capable of providing 100% of a program. They’ve discovered that it’s really about 80% good. But that makes his programmers 80% more efficient.

AI is also pretty good at reading G code from the CNC program. They can translate the code to English and enter into their shop floor management software. Workflows, tool setups, and other work instructions are provided to operators to make them more efficient and effective.

They use laser measurement devices from Hexagon (remember Hexagon?) close to the machine for immediate quality feedback. They also use Datanomix, a Hexagon partner, to improve productivity.

Payne searches constantly for new technology to improve processes. He mentioned how new coatings on a drill, for example, improves productivity. Tooling and workholding advances also contribute.

Using technology to improve processes and productivity is the foundation of Hill Manufacturing’s success. He can’t solve problems by adding more bodies, so he fills in with technology. Hill now does 2x revenue with 2/3 of the people. With today’s demographics, Payne provides a great example of intelligent use of technology to solve business problems.

Intelligence at Scale

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.

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