Voxel51 Multimodal

Hey Product Hunt 👋 I’m Brian, Co-Founder and CEO of Voxel51. Robotics teams need to iterate faster. But too much time goes into preparing data, and too much compute goes into training on episodes that don’t improve downstream behaviors. We built Voxel51 Multimodal to make robot learning faster. It’s an end-to-end multimodal data platform that helps teams turn real-world failures into better training data and smarter robots. 💬 Here’s how it works:- Find the failures that matter: Upload your robot episodes and let Voxel51 index your data. Ask the Voxel51 Agent questions like “Where is task success rate lowest?” or “Find episodes where the robot failed to complete a grasp.” Understand what went wrong: Visualize synchronized camera feeds, robot states, actions, and sensor data side-by-side. Replay episodes to see exactly what happened before, during, and after a failure. Build better training datasets: Curate the most valuable episodes, surface edge case scenarios, and prioritize the data your robot needs to learn from. Train, evaluate, repeat: Evaluate your next policy, see where performance improved (or didn't), and feed those insights back into your next training run. 🚀 Why Voxel51- Learn faster: Accelerate your data flywheel, save 5+ months of development and iterate on data up to 50× faster. Make training runs count: Focus your time and compute on data that can make a difference. Keep everything in one place: Search, investigation, curation, and model evaluation, with a system of record. Improve model performance: Customers report increases of up to 30%. Better data. Smarter robots. Repeat. Try Voxel51 on your data for free. What’s the hardest part of figuring out why your robot failed? We’d love to hear what your team is running into.