We built PhAIL – the Physical AI Leaderboard – to measure how foundation models actually perform on real commercial robotics tasks. The best model runs at 5% of human throughput.
Positronic Robotics launches PhAIL (Physical AI Leaderboard) – an ongoing, real-world benchmark evaluating robotics foundation models on commercial tasks using throughput and reliability metrics.
We are releasing pos3, a lightweight Python library that makes working with S3 as simple as using local files.
Sergey gave a talk at Neapolis University Pafos on "How to Train Your Robot: A Practical Guide to Physical AI". Here are the slides and summary.
We are publicly announcing Positronic Robotics to fix the broken infrastructure of ML robotics. We're building a Python-native runtime and a data OS to make professional-grade AI robotics approachable.
