Segments.ai

We're heading to #CES2026, now as part of Uber AI Solutions 🚀 Swing by our booth to talk about perception, multi-sensor data, labeling strategies, and multi-sensor tooling. You’ll find our Segments.ai team on the floor: Otto Debals, Mark Hafner, Klaas Nelissen, Samuel Van Erps, and Tom Staelens. We're ready to dive into your toughest data challenges. Want to make sure we connect? Leave us a message at https://lnkd.in/e8K4UwSW, and we’ll be in touch. #DataLabeling #AutonomousVehicles #ADAS #LiDAR #ComputerVision

Exciting news: Segments.ai has been acquired by Uber 🔥 We started Segments.ai in 2020, became the first Belgian company to join Y Combinator (W21), built a cashflow positive business, and - most importantly - an outstanding team of people. We've supported awesome use cases: from self-driving vehicles and trucks to autonomous drones and tractors. Bert, myself and the entire team will continue this journey within Uber AI Solutions led by Megha, where we’ll be doubling down on building the best annotation tooling for robotics and autonomous vehicles. The AI Solutions group is part of Gus's Core Services unit within Uber. We’re grateful to everyone who supported us along the way: Start it Accelerate | @KBC, Y Combinator (with partners Nicolas Dessaigne, Dalton Caldwell and Harj Taggar), our VC investors Merus Capital and Volta Ventures and all other angel investors, our first advisor Luc Van Gool, our legal partners Cambrian, Jay Parkhill & team, Alongsight Legal, Animo - tax law & consultancy, EY, SO Kwadraat vzw and our Discretion Capital financial advisor team who led this effort (Einar Vollset & team!) Thanks to our entire team and alumni, this milestone wouldn’t have been possible without you: Davy Neven, Tobias Cornille, Arnaud Hillen, George (Đorđe) Sumenkovic, Anna Thomlinson, Tom Staelens, Jeroen Claessens, Wouter Van Gansbeke, Mark Hafner, David Fournier, Tom Roussel, Justin Bériot, Chris Arteaga, Tania Dimache, Samuel Van Erps, Antoine Dalemont, Klaas Nelissen

🚀 Some big news to share: Segments.ai has been acquired by Uber! The past 6 years have been a wild ride for Otto Debals and me: from our modest beginnings as a bootstrapped startup, to joining YC as the first Belgian company and raising a seed round, to serving some of the coolest customers across the globe. One thing I'm particularly proud of is that we managed to keep the company lean and mean along the way: we really punched above our weight, and this incredible exit is further proof of that. We're super excited to join the Uber AI Solutions team led by Megha Yethadka, where Otto and I, our team, product, and customers will find a new home, and where we'll help supercharge the data labeling team. We're incredibly grateful to our amazing team, customers, investors, workforce partners, and everyone who supported us along the way 🙏 Davy Neven Tobias Cornille Arnaud Hillen George (Đorđe) Sumenkovic Anna Thomlinson Tom Staelens Jeroen Claessens Wouter Van Gansbeke Mark Hafner David Fournier Tom Roussel Justin Bériot Chris Arteaga Tania Dimache Antoine Dalemont Samuel Van Erps Klaas Nelissen Luc Van Gool Marc Van Aken Dirk Lievens Y Combinator Harj Taggar Nicolas Dessaigne Dalton Caldwell Merus Capital Volta Ventures Start it Accelerate | @KBC SO Kwadraat vzw EY Discretion Capital Cambrian Animo - tax law & consultancy Alongsight Legal Jay Parkhill

We’re excited to announce that Segments.ai has been acquired by Uber!   The collaboration will support the growth of Uber AI Solutions and further strengthen Uber’s position as the leading platform for flexible work. We’ll bring our expertise in building high-quality training datasets for autonomous vehicles, ADAS systems, robotics, and other smart systems. We’ll continue to serve our current customers and new customers. Come talk to us, and let’s discuss how we can work together. 💪

🚀 Segments.ai is selected as one of Deloitte’s 2025 Technology Fast 50, recognizing the 50 fastest-growing technology companies. This is a recognition of the incredible journey we’ve been on over the past four years, building innovative labeling technology together with our customers in robotics and autonomous vehicles. And growing into a trusted partner for teams worldwide. A huge thank you to our team, our customers, and our partners who have been with us on this journey. #Fast50BE #DeloitteFast50

Keymakr x Segments.ai: Faster, Smarter 3D Annotation We’re excited to announce our partnership with Segments.ai, a leading platform for labeling 3D point clouds and multi-sensor data. This collaboration will streamline workflows and boost annotation accuracy. It will also cut down the time needed to prepare large datasets. This is critical for industries relying on 3D data, from autonomous vehicles and ADAS to off-road, delivery, maritime robotics, and healthcare. Together, we’re making 3D data annotation faster, smarter, and more efficient🤝 More details here: https://lnkd.in/dF9bV352 #3DData #3Dpointclouds #AutonomousDriving #AI #DataAnnotation #Innovation #Keymakr #SegmentsAI

Excited to head back to the 2nd version of Actuate 2025 presented by Foxglove in San Francisco! Two full days of talks and demos on autonomy and physical AI 🤖 Segments.ai is proud to be a sponsor! If you’re attending, let’s grab a coffee ☕️ I'll be there together with Mark Hafner and Klaas Nelissen. We're already powering multiple of the teams present such as Rivian, Dexterity, Inc., Zipline and Serve Robotics - happy to share how our Foxglove integration can power your training pipelines ⚙️ #labeling #machinelearning #observability #mcap

📅 Conference season kicks off again in September. One of the questions we get all the time is: “Can’t you just automate the annotations, so we only have to review them?” It sounds simple, yet for 3D and multi-sensor perception, full automation is still far from solved in general. At Segments.ai, we take a gradual approach to automation: 1️⃣ Start with fast, intuitive manual tools 2️⃣ Introduce ML-powered assistive tooling 3️⃣ Apply domain-specific models 4️⃣ Leverage customer models for the best results In the article below, I dive deep into three real-world examples. The TLDR: * Multi-modal annotation: Solve 3D first, then project to calibrated 2D for consistent labels across all sensors * Perception-based mapping: Merge sequences into a single high-res point cloud and annotate classes such as lane lines and traffic signs only once for the entire road * Consistent attributes at scale: Capture not just object location and dimension, but behaviour across time and modalities 🔗 Read the full breakdown here: https://lnkd.in/eQyX7Q83

[𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗥𝗲𝗽𝗼𝗿𝘁] 𝗦𝘁𝗮𝘁𝗲 𝗼𝗳 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝘆 𝟮𝟬𝟮𝟱 Together with Reuters Events, we explored how 𝟭𝟰𝟬+ 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗹𝗲𝗮𝗱𝗲𝗿𝘀 are building the next generation of autonomous robots, and what it means for your strategy. From vehicles and drones to robotics in logistics, warehousing, and beyond. Autonomy is no longer a future ambition; it’s a present-day priority. But while innovation accelerates, challenges around data, talent, and deployment remain. Special thanks for the additional insights from: - Billy Otteman (Scythe Robotics) - Stephen da Silva (Rivian) - Gavin K. Ananda (Zipline) - Sahil Potnis (DDD) - Michael J. R. (EASE Logistics) 👉 Strategic Insights Include: - Why 82% of organizations now view autonomy as a high strategic priority - How data quality and perception talent are the biggest barriers to progress - Sector-specific adoption and innovation trends Benchmark your autonomy strategy and learn from leaders in the space. 📖 Download the full report here: https://lnkd.in/e4RPfSiv