PTCPTC Inc.

“That is now, Joe, moved into a 7-figure just AI SKU on top of the ServiceMax SKU, AI expansion just here in North America, and we're already talking about the global piece, which is a lot larger than the North American piece.”

“We've got 8 AI releases already done last year that we've been working on POCs and refining with our customers. We've got 14 more that we're releasing here in 2026 with one pretty awesome. You'll see it in PTC Next, an amazing AI native first product release that we're putting out there in Chicago in June.”

“the advantage we have is we understand the construct and the context of everything happening to design a 3D part, how it fits for a product, the manufacturing constraints, the materials, the geometry, the mathematics to actually bring the creativity of an engineer to life that actually becomes a product, that happens on a CAD system that we have full proprietary understanding of how that actually comes to be. And that is the advantage we have of training our AI onto that data set is a huge advantage versus any third party.”

“We displaced a competitor with Windchill+ at a leading automotive supplier. We won because we showed this customer 2 things. First, that Windchill manages the authoritative product data their business runs on; and second, a clear road map for AI agents that will drive productivity gains across the PLM workflows. This customer moved forward because they understood that to take advantage of AI, they first need to modernize their product data foundation.”

“our Creo, Onshape agents are the only agents that can access the underlying mathematical and geometric parameters within those systems to support complex 3D product design. Modifying a parametric part requires an understanding of shape, tolerances, material properties, manufacturing constraints and how it change propagates across assemblies. General-purpose AI models aren't built for this kind of work.”

“on our born-in-the-cloud PLM solution, we have an amazing supply chain AI intelligence layer that we're seeing that now being in an operational environment. So customers are seeing supply chain disruptions flow right into PLM, so that there is no need for multiple tools versus just using PTC's products.”

“Onshape AI is actually most of the information that Onshape AI is providing to end users are making and simplifying their processes is happening on AI versus all the other ways they were doing it before AI. So we're seeing really rapid adoption there on that born-in-the-cloud CAD solution.”

“Jensen himself actually talked about Onshape and PTC in his keynote, as I'm sure you guys all followed. That's actually just a much better solution than anything that's out there in terms of what Onshape does from a cloud-native CAD tool.”

“We're scaling this aggressively, nearly doubling our AI releases in 2026 versus 2025, including our first AI native products.”

“it will take some time. Certainly, we'll see some monetization in '27, but not overly material. And as it relates to monetizing this, as you all know, we are largely seat-based right now, right? And that's really how customers are asking to purchase at this point. However, we have multiple ways of meeting the customer where they are in terms of if we -- if they want to bring their own agents, et cetera, so we'll be able to meet them there.”

“Consider what happens today when an engineering change is made to an MRI machine. That change spans multiple teams, takes months and costs significant time and money. Now imagine a world where AI agents are reasoning across the life cycle, reconciling the change across designs, bills of materials, supplier contracts, or instructions and bringing humans into the loop for approval at each stage. Months compressed to hours.”

“the AI road map and conversations we have with every single customer is relating to we want to go POC and test out these new AI releases. In some cases, I'll talk about scaling it up operationally. But in most cases, testing it out in smaller groups, POC-ing it. But it ultimately always comes back to before we -- or in parallel as we're doing this, we have to have our data structured so that as context for AI.”

“our vision is a lot more expansive than that, and we feel we have an unfair advantage to create this intelligence layer because we understand how the context of that data actually operates across an enterprise. What I mean by that is there is a view that we strongly have that agents will need to interact across these domains for greater outcomes to our customers. And we will create that intelligence layer.”

“the AI thrust. I think those systems of records that we've had for so long that now we're advancing is used to be operational infrastructure. Now it is AI foundational infrastructure without all of those versions and the uptick that we're seeing around modernizing that product data foundation, AI won't work at scale, and our customers are realizing that.”

“Our customers are recognizing that the strength of their product data foundation determines their AI ceiling. PTC enables product data foundations with our CAD, PLM, ALM and SLM systems of record. These systems are now evolving to systems of action in an AI world, where AI agents reason across product data and execute real work.”

“every single conversation, even with these companies are saying, well, I want to supercharge my engineering workflows with AI, it's coming back to it's impossible to do that because you don't have a structured data foundation to apply this to, let alone actually have speed within your normal processes without AI.”

“the trends and the dynamics that Neil talked about in his prepared remarks are very real. We're seeing continued customer demand due to AI need for AI modernization and getting their product data foundation ready.”

“Arena, our cloud-native PLM solution is also kicking butt because we invested into it, added AI functionality faster than any other competitor, and we're starting to see traction there.”