I use Leo for answering technical questions and calculations, which makes long and tedious research more efficient. The AI integration is great and very helpful. Setting up Leo was quite simple because they have a lot of tools to help, making it easy to do. Review collected by and hosted on G2.com.

nothing so far :) Review collected by and hosted on G2.com.

Engineering companies generate huge amounts of CAD and text data, but most of it sits unused. Their current tools (CAD editor, PLM) don't provide any useful search capabilities- very minor ones based on the text of the titles of the parts, which is provides bad fit to the problem in hand (the title of the part doesn't describe when'll the geometry of the parts etc), especially for mechanical engineers. Leo changes that. It integrates directly with PLM and existing workflows, making past designs, standards, and calculations instantly available. The result is fewer errors, faster decision-making, and a more consistent process across teams - all with enterprise-grade security. For organizations looking to modernize mechanical design, Leo is a real step forward. Review collected by and hosted on G2.com.

none, I really like it, it's a great tool to use Review collected by and hosted on G2.com.

What makes Leo stand out in the CAD AI space is not just the speed- it’s the reliability. That’s the only AI Mechanical engineers can really trust. Enterprise engineering teams can’t risk mistakes, and Leo addresses that directly by combining SOC 2-level data security with knowledge from both PLM systems and the world’s most respected engineering references. 

Imagine you’re leading a section that designs assemblies with dozens of interdependent parts: traditionally, design reviews would drag on for weeks because each calculation and standard had to be verified. With Leo, those checks are automated and tied to the company’s own approved practices. Directors I’ve spoken with said it completely changed how they manage projects: less time on repetitive verification, more time on real innovation. For mid-cap manufacturers that want a competitive edge, Leo is the AI copilot that makes engineering faster, safer, and smarter. Review collected by and hosted on G2.com.

Nothing. I love everything about the product. Review collected by and hosted on G2.com.

Developing medical devices and healthcare technologies is a balancing act between innovation and compliance. Every idea has to be validated against strict engineering standards, backed by standard, regulatory docs (FDA, HIPAA, CE), and documented in a way that regulators will accept. For small to mid-sized companies, that challenge is multiplied by limited resources and the need to move quickly- time to market is everything but the cost of a mistake is insane. 

What’s compelling about AI designed specifically for mechanical engineers is how it handles this reality. Instead of offering generic answers from generic AI tools like Gemini of ChatGPT, it can connect the dots between CAD files (assemblies and parts), PLM records, and technical documents, whether that’s an Excel sheet with calculations, a PDF report, or a design review presentation. The result is clarity in decision-making when it matters most: at the conceptual stage, before costly mistakes are baked into the design.

For entrepreneurs in healthcare, this means more than saving time. It’s about reducing risk, improving traceability, and giving teams the ability to explore multiple design options without losing confidence in compliance. In an industry where documentation and reliability carry the same weight as creativity, having an AI copilot tailored for mechanical engineers is the kind of advantage that levels the playing field with much larger competitors. Review collected by and hosted on G2.com.

Excited to see what new features and connectivity options are on the horizon! Review collected by and hosted on G2.com.

In the defense industry, engineering teams deal with some of the most complex products in the world- large assemblies, thousands of CAD files, and decades of design documents.

The real challenge is navigating the massive amount of organizational knowledge stored across PLM, CAD models, Excel docs, PDF and Word files, technical reports, and presentations.

This is where Leo changes the game. It’s the first AI I’ve seen that can actually search and answer questions across both CAD files and text-based engineering documents. I tried to use GPT to analyze cad and it failed, because it’s a language model. Leo, on the other hand was built to understand CAD and engineering data. Instead of digging through endless folders or relying on senior engineers to recall where a decision was made years ago, teams get instant, accurate answers tied back to real models, drawings, and approved documentation. Review collected by and hosted on G2.com.

I love it, but I’m looking forward to their Onshape integration! Review collected by and hosted on G2.com.

Engineering in defense is never simple: countless CAD models, layers of PLM data, and information spread across too many systems. Leo turns this complexity into clarity. Instead of searching for files or recreating past work, our team can quickly identify proven designs, confirm standards, and build on solid ground - a real GameChanger.

The difference is immediate. New engineers don’t rely solely on others to explain how things were done in the past. They can verify requirements directly, cross-check against trusted sources, and move forward with confidence. Senior engineers, in turn, gain back time by no longer stuck answering repetitive questions, but able to focus on solving new challenges.

One project illustrates this well. While designing a barrel for a strike system, Leo provided the relevant material specifications, dimensional tolerances, and safety margins according to applicable standards. It also surfaced associated inspection methods and fatigue considerations. What would have required pulling from multiple documents and references came together in one reliable flow of information.

This isn’t just about convenience. For teams working under tight deadlines and high stakes, Leo reduces errors, accelerates development, and ensures decisions are backed by validated knowledge. For us, it has already proven indispensable.

As I already wrote, a GameChanger. Review collected by and hosted on G2.com.

One drawback is that Leo is cloud-only. If you’re offline or dealing with a shaky connection, you simply can’t access it. An offline mode would have made it far more flexible. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

There’s nothing I didn’t like. Love it.. Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

As it is with all AIs, you have to master the wording when talking to it. But it's something we get better and better at with time. Review collected by and hosted on G2.com.

Mechanical engineering teams that adopt Leo won't go back. It’s not just about speeding up CAD work, it’s about transforming how organizations use their own knowledge and how they approach technical design. Like when CAD was invented - people didn't just do the same thing they did when they were drafting on paper - they changed the processes dramatically. Leo mines the company’s PLM data (protected and SOC2 certified) and reliable engineering handbooks, GD&T and tolerance tables, books, and academic papers (not unreliable information from social media, like general LLMs provide), so every engineer on the team has instant access to both.

We’ve seen design reviews where managers could validate calculations and decisions in minutes because Leo had already tied everything back to trusted sources and past projects. That level of accuracy, combined with enterprise security and world-class support (based in the US and EU in native languages across Europe), makes Leo the choice for organizations that want to lead the AI revolution in mechanical engineering. Review collected by and hosted on G2.com.

At this point, nothing to dislike compared to prior approaches Review collected by and hosted on G2.com.

LLMs like GPT and Gemini are excellent for many individual use cases, but some functions cannot live with hallucinations. A single mistake can have real business consequences, or worse life-threatening ones, and we simply cannot rely on a generic AI model trained on open-source, non-engineering-specific data.

Leo is an AI tool specifically designed for mechanical engineers. With Leo, we get answers we can trust - every response is linked to credible sources, whether from established engineering standards and textbooks, or our organization’s proprietary data. It’s also the only AI tool capable of interpreting CAD files, saving tons of hours. With Leo, our engineers can avoid wasting time redesigning components that already exist.

The implementations and integration with your PLM is very streamlined and the support team is there to help through every step. Review collected by and hosted on G2.com.

Like any AI tool, it's constantly in development and improvement, and the level of capabilities is improving quickly. The Leo team is very open and responsive to feedback. Some engineers don't like the constant change, others thrive with it. Review collected by and hosted on G2.com.