TRMBTrimble Inc.

“In short, we see a world where AI increases the size of the addressable market, and we believe we have a compelling right to win, thus capturing additional avenues of growth. While we monetize our software and AI today primarily through named user licenses, we are architecting ourselves to scale hybrid value delivery at the intersection of licenses and consumption. This isn't just a hypothetical thought experiment. We already deliver consumption models today. For example, Trimble Transporeon transacts well over $100 million of revenue through tens of millions of annual transactions on our platform, and our recent native AI products deliver autonomous procurement and autonomous quotation on a consumption basis.”

“The data is the customer's data. So I always want to orient starting there. And that customer is creating a model and the example that we talked about today. That model is downloadable and you can bring it into SketchUp. From an economic standpoint, let me highlight 2 different motions we have. One motion is the announcement we had in Q4 of last year where we have SketchUp AI. It's an add-on subscription to the SketchUp license you already have. And with that SketchUp AI license, it's only $11.99 a month for that add-on license.”

“Today, inside of Trimble Connect, more than 30 million projects have been created. There's been over 50 million users in Trimble Connect since inception. We have thousands of integrations, third-party integrations into the individual applications we have across Trimble. We have over 130 extensions -- integrations that have been created inside our Trimble marketplace, which is part of Trimble Connect.”

“Last week, we launched an integration with SketchUp and Anthropic's Claude. This makes it easy for Claude users to create Trimble SketchUp 3D models directly from conversational text, image or speech prompts enabled by a SketchUp MCP service that allows Claude to create and modify SketchUp files. The immediate monetization is downstream in our SketchUp subscriptions. After starting in Claude, users will then bring their files into SketchUp to further iterate on the design, leverage SketchUp's real-time collaboration features to engage project stakeholders, create visualizations, perform daylight analysis and more. The midterm revenue opportunity is expanding the addressable market by converting Claude users into Trimble customers.”

“On April 2, we announced the acquisition of Document Crunch. For context, construction is a relatively low-margin industry, yet remains one of the most risk-exposed industries in the world. More than 80% of projects exceed budget. And when disputes arise, the average claim in North America tops $60 million. The root cause is consistent, errors in project documents and stakeholders failing to understand their obligations. With Document Crunch, we're addressing this directly. We're establishing a new AI-powered risk management category within Trimble, bringing contract intelligence and compliance automation into the project management, estimating and ERP workflows our customers already rely on”

“I think that this is going to be more table stakes to have different motions and way to reach the market, and we embrace that. So expect to see more from us across the portfolio. That's one example where you can start with the modeling in Claude. I flipped that around the inverse. What we launched in Q4 was SketchUp AI where you can do that, what we call Vibe modeling. and natural language prompts within SketchUp itself to do the modeling. We want to offer it in multiple avenues, and we'll see going more, call it, atomic level at the capabilities, we want to be able to do that in Trimble Connect, for example, off of our own agentic AI platform.”

“The second example is we'll create monetization through the good, better, best product motions where we put AI into those better and best upsell motions. And I highlighted 4 examples. I think it was on Slide 5 of the presentation that give examples of this. And one of those examples would be automated feature extraction out of the large point clouds that we deliver to our customers. So in that example, that automation of the feature extraction, which turns hours and days of work into minutes of work, we're monetizing that through that better and the best product sets that we deliver to our customers.”

“Think about what that means at scale, layering these intelligence tools across tens of millions of projects in Trimble Connect, billions in construction managed through our ERPs and field workflows that have never before been connected to the contract. We're connecting the field to the office, to the risk, to the execution and embedding it all into Trimble Construction One. This isn't just simply AI document review. We are linking the contract and risk elements to the execution in the field and to multiple stakeholders throughout the ecosystem, thereby addressing the core reason for disputes.”

“The AI ambitions of this team are inspiring and cutting edge. To unlock the potential of AI for product development requires a systemic paradigm shift across the entire product development life cycle. Today, the vast majority of new code is generated with AI tools, and our product development organization is fundamentally rewiring how we work, which in turn is increasing our velocity. In addition, we are approaching our target to dedicate 10% of our development resources to an applied AI organization that is tasked with agentic development as well as safe AI deployment.”

“The Document Crunch example is one where we acquired to create a new category, in this case, an AI-powered risk management category and where we see through Document Crunch that we can link contract intelligence and compliance automation and link that with the project management that we deliver at Trimble with estimating that we deliver at Trimble and with the ERP workflows we have at Trimble. That's singularly unique. It's bespoke, it's domain specific. That creates a new category.”

“In the fourth quarter of 2025, Trimble SketchUp released SketchUp AI as an add-on that is available to our subscriber base. The hybrid add-on is an additional subscription that makes a fixed number of AI credits available to each user each month. We will continue to track market adoption of our AI capabilities along with market readiness for emerging consumption and outcome-based models as our monetization strategy evolves.”

“In terms of our own agentic AI development, we have multiple teams in the company that are working on it, but really twofold. One, from the engineering and construction, which is the intersection of Field Systems and AECO and the second in Transportation. So each of those teams have agentic AI teams, and we believe we don't need to go acquire, let's say, an agentic AI platform because we're doing it ourselves.”

“if you take autonomous procurement and autonomous quotation within transportation, I think that's a great example of that because what we're monetizing through those particular product motions is happening at a higher rate than the traditional non-AI capabilities that we have. And we can charge more because we're demonstrating a higher ROI to our customers when we do that.”

“With a couple of recent customer wins and selling autonomous procurement and autonomous quotation in North America, we are building momentum and demonstrating that we can bring Transporeon capabilities to North America and that we can cross-sell into our carrier base.”

“Quantitatively, what we can see is that the usage is growing and that almost all of those credits that are associated with those named user licenses are being consumed. And that's good because that tells us they're actually being used.”

“We believe customers will adopt AI from trusted platforms like ours, where we deliver the support, cybersecurity, governance and sustaining engineering that our customers expect and require. Integrated workflows with deep domain knowledge at scale is a differentiator and a moat. Our ecosystem of third-party connectivity and platform extensibility compounds value delivery and drives network effects where every connection point and transaction improves the next autonomous decision, making the data not peripheral to the product, but the product itself.”

“I go back to the ability to have started in Claude in this example is we're lowering the barrier to entry to create that next generation of AI-first professionals who can then bring those models into SketchUp for the next iterations of that. So I don't know if -- I hope that helps you a little bit understand that is that it's insufficient to complete a workflow with that initial model that you've created in an LLM.”

“That's one of the reasons you see us talking about hybrid models. So we do have a belief that we'll see more hybrid models, hybrid at the intersection of the named user license and consumption. At the same time, we have some consumption-only businesses and capabilities as well.”

“Until then, what -- imagine going to Claude through natural language prompting. You don't have to be a user of the underlying modeling technology. So you're new to the software and you want to create a model. You can do so through just typing the prompt of what you want.”

“We are leveraging AI to transform how we work so that we can transform how our customers work. We believe customers will gravitate towards leveraging our platform for their own AI ambitions because we are connecting their data, their workflow and their industry ecosystems. We believe AI will expand the size of the addressable market, and we are ready to adapt our business models to meet the market where it is.”

“We see tremendous opportunity as we bring AI to industry workflows and further establish Trimble as the intelligence and execution layer that reconciles our customers' digital and physical realities.”