What I liked the best about LEO and the most helpful thing about LEO AI is its ability to give you a place to start in design. Instead of worrying about where to start or what to do, LEO AI will give you something to work off of and the information needed to do it. Review collected by and hosted on G2.com.

The main thing I disliked about LEO was what I would call its "stubbornness." Occasionally, the software did not quite listen to what I was saying. It would sometimes design something outside of my prompt or not quite listen to material specifications. This issue mainly occurred when the software was asked to make a 3-D model, but did not occur when asking for specific information about the design in my experience. Review collected by and hosted on G2.com.

The search in Teamcenter has always been a weak point for us. If you don't know the exact part number or file name, you're basically not finding it. Leo changed that. I can describe a part geometrically or by function and it finds relevant parts from our own history, not just from an external catalog. For a team our size with years of legacy NX data, that's a significant time saver. We've started reusing parts we didn't even know we had, and that has real downstream impact on procurement and BOM costs. Review collected by and hosted on G2.com.

Getting Teamcenter fully connected took a bit of coordination with our IT team, but the Leo support team walked us through it and it went smoothly. Review collected by and hosted on G2.com.

I work as a mechanical engineer in a large enterprise, and I see Leo as the next leap in our profession since the invention of CAD. It’s the only AI for Mechanical Engineers that actually understands CAD, PLM, and the realities of enterprise design work.

With Leo, our team improves design quality, reduces mistakes, and shortens time-to-market. Instead of wasting hours on repetitive searches and calculations, we focus on making better products and leading our category.

For enterprise teams, this is the AI for Mechanical Engineering we’ve been waiting for. Review collected by and hosted on G2.com.

Leo is still evolving, even though very rapidly, and sometimes it takes a few extra seconds to process bigger requests. The integration setup with our PLM also needed IT support at the beginning. Not deal-breakers, but worth mentioning. Review collected by and hosted on G2.com.

In our group, we’re building heat transfer systems for GPUs using principles that are so new, there’s barely any precedent in the industry. That used to mean hours digging through journals, standards, and textbooks- often paying for articles and experts/consultants just to get the data we needed to test a single idea or to make a single decision (material properties, relevant standard, etc).

With Leo, that’s changed completely. When I explore a new cooling geometry or evaluate unconventional material properties, I can ask questions and get answers backed by handbooks, standards, and recent studies. The best part is that the sources are included in our Enterprise tier, so we dont need to pay to get those sources- they are already included with the Leo Enterprise Tier. This is an immidiate ROI and we get access to the relevant literature we need.

the service the Leo Team provides is incredible- they are always there for us for any questions, making sure we get the best out of Leo and solve issues super fast. They are available for our engineers arrounf the clock

It gives me the confidence to move faster on designs that push the limits of what’s been done before. I know the data is credible because every recommendation is cited, whether it’s from a trusted standard or an academic paper. For us, that means less guesswork, fewer delays, and more time focusing on innovation in GPU cooling.

Leo isn’t just speeding things up - it’s raising the quality of our decision-making. For mechanical engineers working on bleeding-edge problems, that combination is a game changer. Review collected by and hosted on G2.com.

There’s nothing I dislike, but I’m excited about the upcoming features, particularly the Onshape integration. Review collected by and hosted on G2.com.

What I like most about Leo is its ability to review assemblies and provide intelligent part recommendations. It can search within our own library, helping engineers reuse existing components, reduce design time, and improve consistency across projects. Review collected by and hosted on G2.com.

What I dislike is that Leo does not yet fully analyze complete assemblies. I would like it to automatically detect interferences, design flaws, and potential failures, and then provide clear, actionable recommendations on how to resolve each issue efficiently safely. Review collected by and hosted on G2.com.

Every mechanical engineer I know hates wasting days modeling parts that already exist in the company library. Leo fixes that problem completely. By combining enterprise-grade AI with organizational CAD and text data, it allows engineers to find and reuse the right part or standard instantly. One director told me their new hires used to take months before they could work independently. With Leo acting as an AI copilot, those same engineers are productive in weeks. Add SOC 2 security and local support in the US and EU (Germany, Switzerland, France, Belgium, Netherlands, Luxembourg, Poland, UK, etc) that provide technical support both in person or virtually in various native languages , and it’s clear this is the enterprise tool mechanical engineering organizations have been waiting for. Review collected by and hosted on G2.com.

Nothing so far ... all users with whom I have spoken love it. Review collected by and hosted on G2.com.

It makes ideation much faster, and the ability to bring tonnes of engineering handbook data at the fingertips is of great help. Review collected by and hosted on G2.com.

Nothing I dislike about Leo. Like other AI tools some times it hallucinates but we can easily correct it with appropriate prompts Review collected by and hosted on G2.com.

It saved me a lot of time anytime I have technical questions associated with mechanical engineering and product design, enhances my creative process, and prevents potential errors before they occur.

For example, Leo was very accurate about the surface roughness of both answers while referring to our specific use cases - something that Google cannot do. Leo was accurate and quantitative about the thickness and homogeneity of both coatings (thickness in each of them in microns). He also provided supporting sources that allowed me to be confident with my decision and explain it to my peers. That was great. Review collected by and hosted on G2.com.

Nothing, I have no complaints and no dislikes. Review collected by and hosted on G2.com.

I like how Leo is convenient, quick, and accurate. It really boosts my productivity. For example, when I had to build a machine for my company, it helped me do it 10 times faster. The initial setup was also really easy, taking one day at most. Review collected by and hosted on G2.com.

The UI sometimes isn’t that intuitive. Review collected by and hosted on G2.com.

Leo is the first AI product I’ve seen that truly understands the realities of mechanical engineering inside large organizations. By connecting directly to PLM and leveraging both CAD files and internal documents, it standardizes decision-making across the team. Instead of every engineer reinventing the wheel, Leo brings organizational memory to the surface instantly. We’ve seen engineers reduce design mistakes in critical assemblies by pulling proven calculations and design rules from past projects in seconds. For a team lead or director, the impact is immediate - fewer errors, faster onboarding of new engineers, and a clear competitive advantage. Review collected by and hosted on G2.com.

Nothing - they are constantly improving. Review collected by and hosted on G2.com.