Lightspeed

We’re helping define the factories of the future - Reindustrial Revolution! Really excited about this partnership with @ABBRobotics, @Universal_Robot, and @NVIDIARobotics. It is a big deal for us for two reasons: 1. AI-first reinvention of automation Unlike hand-engineered classical automation: - We deploy the Skild Brain (fully end-to-end neural network), fine-tuned with minimal robot data, and at times, none at all (more on this soon) - The system is inherently robust to real-world disturbances and can be set up for entirely new tasks in a fraction of the time. - In-context memory enables true long-horizon execution. No brittle, step-by-step programming required. - No custom tuning, no big metallic cages, no fancy sensors, just off-the-shelf robots and cameras. Why doesn’t classical automation scale? - Traditional systems rely on custom hardware and painstaking manual engineering, often costing multiples of the robot itself. Even then, they are fragile, and failures emerge if the environment shifts by as little as 0.1 mm. In dynamic & mixed assembly lines with humans and robots, that level of precision is unrealistic. - In mixed production lines, disturbances are inevitable and prohibitively expensive to eliminate. Classical approaches break under this variability unless you over-engineer the environment and spend lots of money (design for automation - DFA, rigid enclosures, heavy sensorization) to make sure everything is 0.1mm level precise, which defeats the point if the setup is going to change quickly. E.g., NVIDIA changes GPU designs every 6months! Long-term vision Imagine a world where anyone with no expertise in controls (a factory worker, a technician, a small business owner) can automate complex factory stations in days. No specialized infrastructure. Just intelligence that adapts. This is more than incremental progress. This is going to revolutionize traditional automation, what we call, reindustrial revolution where automation becomes accessible, flexible, and universal! 2. Data flywheel for Physical AI Industries are the backbone of society and an ideal proving ground for early AI deployments. They offer just enough structure to operate, and real, immediate demand to drive impact. Every deployment across tasks and sectors generates data that improves the omni-bodied Skild Brain, thus fueling a compounding loop where each improvement unlocks the next frontier. This is how we aim to build the largest data flywheel for physical AI. Industrial deployment is only the beginning. It opens the door to semi-structured environments (hospitals, hotels, grocery stores, etc.) where complexity rises, and capability deepens. From there, we move into fully unstructured consumer settings (homes). Step by step, this progression lays the foundation for something much bigger: the emergence of true general autonomy.

Naboo is astutely modernizing how companies source and manage their events. On the latest episode of The Investment Memo, Lightspeed Partner @antoine_moyroud sat down with Naboo Co-Founder, Maxime Eduardo, to discuss how Naboo is using AI to completely reimagine corporate events. We have backed Naboo since 2024, and after recently leading their $70M Series B, it was great to have Antoine and Maxime explore the problem he and the Naboo Co-Founders (Antoine Servant, Lucien Bredin, and Jean-Louis Villeminot) are solving. Tune into the episode here. 0:00 Welcome, Maxime Eduardo! 2:15 What is Naboo? 4:23 When Did Naboo Realize the Massive Opportunity? 5:50 Naboo’s Flywheel Explained 8:53 Why Naboo Wins Enterprise Deals Every Time 10:43 Why Naboo Keeps Winning Against Incumbents 13:04 Expanding Beyond Corporate Events 15:49 How Naboo Delivers White-Glove Enterprise Service 18:12 Is Naboo an Outsourced Procurement Team? 22:02 Why Are Customers Ready for AI Now? 23:20 How They Built Their AI Planner 28:02 Biggest Challenges in Scaling Internationally 30:15 Using the Marketplace to Enter New Markets 34:06 How Do You Build an AI-First Company Culture? 38:26 How Has Your Culture Evolved as You Scaled? 42:45 What the New Funding Enables for Naboo 43:45 What Does Success Look Like in 5–10 Years?

Naboo is astutely modernizing how companies source and manage their events. On the latest episode of The Investment Memo, Lightspeed Partner @antoine_moyroud sat down with Naboo Co-Founder, Maxime Eduardo, to discuss how Naboo is using AI to completely reimagine corporate events. We have backed Naboo since 2024, and after recently leading their $70M Series B, it was great to have Antoine and Maxime explore the problem he and the Naboo Co-Founders (Antoine Servant, Lucien Bredin, and Jean-Louis Villeminot) are solving. Tune into the episode here. 0:00 Welcome, Maxime Eduardo! 2:15 What is Naboo? 4:23 When Did Naboo Realize the Massive Opportunity? 5:50 Naboo’s Flywheel Explained 8:53 Why Naboo Wins Enterprise Deals Every Time 10:43 Why Naboo Keeps Winning Against Incumbents 13:04 Expanding Beyond Corporate Events 15:49 How Naboo Delivers White-Glove Enterprise Service 18:12 Is Naboo an Outsourced Procurement Team? 22:02 Why Are Customers Ready for AI Now? 23:20 How They Built Their AI Planner 28:02 Biggest Challenges in Scaling Internationally 30:15 Using the Marketplace to Enter New Markets 34:06 How Do You Build an AI-First Company Culture? 38:26 How Has Your Culture Evolved as You Scaled? 42:45 What the New Funding Enables for Naboo 43:45 What Does Success Look Like in 5–10 Years?

As AI technology advances, the cloud architecture supporting it must evolve just as quickly. Nexthop AI is building the foundation for that shift. CEO and Founder of Nexthop AI, Anshul Sandana, sat down with Lightspeed partner @guruchahal this week to talk about his business, their rapid growth, and the work that goes into building such an intricate, cutting-edge company. Nexthop builds customizable AI and cloud infrastructure for hyperscale cloud providers and is currently targeting a $50B+ data center Ethernet switching market. Watch the podcast below for more insight into the complexities of what they’re developing at Nexthop, along with details about the extremely talented team behind it. CC: @ravi_lsvp 0:00 Welcome, Anshul Sadana! 4:04 Anshul Sadana’s Career in Networking 6:09 Why AI Is Creating a New Networking Wave 7:33 How Hyperscalers Build Their Networking Infrastructure 9:44 Why Hyperscalers Build Instead of Buy Networking 13:24 Why the JDM Model Is Possible Today 17:32 What Hyperscalers Care About Most: Power and Speed 19:57 Why Traditional Networking Vendors Struggle to Compete 21:08 The Teams Needed to Build AI Networking Hardware 22:13 Managing Tariffs and Global Supply Chains 26:22 Anshul Sadana’s Leadership Style 29:14 How Nexthop AI Maintains Culture While Growing 29:57 The Market Opportunity for Nexthop AI 32:48 Advice for Founders Building Infrastructure Startups 35:13 How Nexthop AI Decides Its Product Roadmap 37:53 What Anshul Sadana Looks for in Investors