Foxglove

“Many triaging tasks that once took an engineer an hour to diagnose using our home-grown tools now take just 10–15 minutes with Foxglove.”

“Insights from Foxglove have been instrumental in being able to quickly debug issues on our new vehicle platforms.”

“We’re at a critical juncture as we deliver the first Embodied AI product set to automotive customers - so shaving days off our iteration cycle with Foxglove is a huge advantage.”

“Foxglove helped us to supercharge our processes. We went from days to minutes when finding the root cause of an issue.”

“Foxglove lets us scale without worrying about bottlenecks in debugging and maintenance.”

“With Foxglove, we’ve removed the friction in debugging—what used to take hours across multiple tools now happens in minutes, all in one place.”

“Foxglove didn’t just make our engineers more efficient—it made our entire company more agile, enabling faster deployments, better customer support, and greater reliability across the board.”

“With Foxglove and the SDK, anyone on the team can contribute—what used to take months now takes days, and for our customers, that means reaching first autonomous flights in weeks instead of years.”

“Foxglove eliminated the overhead of maintaining internal visualization tools, letting our engineers focus on what matters most—advancing core autonomy.”

“Foxglove gives our team a shared, real-time view into system behavior—making it easier to troubleshoot, improve, and deploy advanced autonomy with confidence. Paired with Hivemind, it accelerates development by turning complex decisions into clear, actionable insight.”

““Building a UI is an impediment. If you have to build that before you can build your core product, that’s a pain. Even when we tried to build really good UIs, they eventually became cumbersome. Foxglove allows us to focus on building our core product.””

““The goal of the company is to iterate and build these models, but also the whole system… The faster you can get visualization and diagnostics, the faster you can be productive.””

““Adopting Foxglove and MCAP has freed up more of our time and empowered us to take on a higher volume of customers.””

““We can now provide a path forward for customers – and prove our worth to them – within 24 hours. They can immediately understand the impact of working with us. This time last year, that same process took weeks. Now, we’re getting it down to minutes.””

“Sharing clear, transparent visualizations with our customers and prospective customers builds a level of trust and confidence we simply could not attain without Foxglove.”

“It just works. Not only has it supercharged our dev processes, it has also helped us build stronger relationships with our customers and win new deals.”

“With Foxglove, everyone—from software engineers to field teams—can quickly understand and analyze robot performance without needing specialized environments.”

“Foxglove cut our debugging time in half, allowing us to deliver new features and fixes faster than ever, improving both our operational efficiency and competitiveness.”

““Foxglove has been transformational for Simbe and has become a crucial tool as we rapidly scale our fleet in response to surging global demand. It fills a longstanding gap in the ROS ecosystem.””

““Adopting Foxglove had an immediate positive impact, enabling us to quickly identify the root cause of a problem we were dealing with that week.””

“The very first time we tried Foxglove we pinpointed a mis-configured trajectory in under an hour—something invisible to the naked eye.”

“I built a custom log-offload pipeline at my last job; Foxglove gives us the same capability out of the box.”

“With Foxglove I can virtually look over the robot’s shoulder, see what it’s thinking, and have us rolling again in minutes.”

“The adoption of Foxglove was swift, with the impact being viscerally clear from the first day, and it continues to deliver value two years into Saronic’s operations.”

“Foxglove gives us one place to see everything our systems are doing, across the robotic arms and our various subsystems. Instead of chasing logs across machines, we stream every event to the cloud and inspect it in context. That continuous visibility is what lets us catch issues early and keep improving how the systems run.”