As a senior mechanical engineer I know how in large engineering organizations like ours , the amount of text, CAD and PLM data can be overwhelming. Every project generates assemblies, models, Excel sheets, PDFs, and reports, and over time it becomes harder for engineers to find and reuse what’s already been created- especially when there are multiple sites. That leads to repeated work, longer design cycles, and costly mistakes. What’s exciting about Leo is that their AI changes that. A true AI companion made for Mechanical engineers and allows them to answer questions based on external reliable engineering sources and internal CAD and PLM data. Plus, any answer is always backed by those reliable sources. Leo makes it possible to instantly locate the right part, drawing, or calculation across the organization’s entire knowledge base.approaches, and make confident decisions backed by data. For mechanical engineers under constant pressure to deliver—especially when managing complex assemblies or onboarding new team members—an AI that can understand CAD files, engineering documents, and organizational Instead of starting every design project from scratch or by pieces of info I was able to gather from my memory or from my colleagues, engineers now can explore multiple design concepts, compare different standards is more than a productivity tool. It’s a way to transform how teams collaborate, reduce errors, and ensure consistency across sites. Engineering companies and especially enterprises and large organizations that adopt AI built specifically for mechanical engineers gain a clear advantage: faster innovation, standardized decision-making, and the ability to finally leverage the full value of their CAD and PLM systems.

Mechanical engineers in big organizations know the real challenge isn’t creating new designs—it’s managing the massive amount of CAD and engineering data that already exists. Our PLM holds thousands of models, drawings, and assemblies, and on top of that there are endless Excel spreadsheets, Word documents, PDFs, and presentations from past projects. Finding the right part, calculation, or decision point at the right time used to be nearly impossible. Leo changes this completely. It’s the only AI solution I’ve seen that understands CAD files and can also search across all the engineering knowledge stored in PLM and organizational documents. Instead of starting from scratch or wasting hours chasing old files, Leo brings the most relevant models, calculations, and reports right to you, with clear references. At the conceptual design stage, that makes all the difference. Leo doesn’t just provide one answer-it gives multiple approaches to the problem in hand, backed by real organizational data and trusted engineering sources. That means faster decisions, fewer design mistakes, and the ability to leverage the full value of the company’s knowledge base. For large organizations looking for an AI solution built specifically for mechanical engineering and CAD, Leo is not just another tool-it’s the copilot that turns overwhelming data into better, faster, and more confident engineering.

Working in a large organization with hundreds of engineers across multiple sites, the biggest challenge is not the lack of knowledge- it’s the overload of it. At the conceptualization stage, when we’re under pressure to bring fresh ideas to the table, Leo became the engineering companion I always wished I had. Instead of staring at a blank CAD screen or flipping through dozens of old project folders, it sparks different directions, gives structured options, and helps me weigh trade-offs with real confidence. For someone like me, who deals with tight deadlines and the constant distractions of a big engineering environment, having an AI copilot that organizes information and supports decision-making is a game changer. It’s especially valuable for engineers who struggle with focus- it cuts through the noise and points directly to relevant design approaches, calculations, and references. What sets Leo apart is that it’s built by and for mechanical engineers. It doesn’t give generic, vague answers like other AI tools- it connects the dots between CAD models, PLM data, organizational documents, and even previous assemblies. You don’t just get an answer- you see where it comes from (when if gives answers to my equations it provides links to sources from documents we created on our organization and also from external articles or engineering books). That kind of traceability is critical when you’re working on enterprise-scale projects with major consequences for quality, safety, and cost. In my experience, there’s no other AI that understands CAD files this way, or that can answer questions directly on engineering models. For enterprises that want their teams to design smarter, faster, and more consistently, Leo is not just an add-on tool—it feels like part of the team