Algorithms Starved for Data
Algorithms and hardware are ready, yet Physical AI starves for massive everyday data to trigger its GPT-1 moment
We are building the world's largest scalable data infrastructure for robotics. Powered by a decentralized network of 100K+ contributors, compounding data diversity at foundation-model scale
The Bottleneck is
Data
Algorithms and hardware are ready, yet Physical AI starves for massive everyday data to trigger its GPT-1 moment
Compute keeps scaling, but robots still lack the diverse real-world experience needed to generalize beyond the lab
Every task, demonstration, and failure compounds into the data foundation Physical AI needs to improve over time
Our true power lies in openness. We embrace agnostic infrastructures, a massive global workforce, and heterogeneous multi-modal data. Through our universal data middleware, we process this raw ecosystem scale into high-fidelity substrates ready to power any robotic embodiment.We are building the world's largest scalable data infrastructure for robotics. Powered by a decentralized network of 100,000+ contributors, compounding data diversity at foundation-model scale
Agnostic simulators & hardware
100K+ global human network
Heterogeneous multi-modal sources
Products 1/4
We don’t leave diversity to chance—we engineer it axis by axis. By multiplying embodiments, object, spatial, semantic, and visual dimensions, we generate exponentially growing data at scale in a highly cost-effective way
Shifting data collection from legacy offline, sequential methods to an online, fleet-wide, massively parallel human-in-the-loop engine. By eliminating entry barriers, we leverage a global user base to drive generation at 10x the efficiency
Shifting real-world data capture from expensive, hardware-heavy setups to a zero-barrier, mobile egocentric app. By pairing SOTA real-time hand pose tracking with our existing global workforce, we seamlessly translate human vision into robotic motion at massive scale
Shifting from raw data accumulation to model-centric data engineering. Equipped with a rich toolset, our pipeline processes diverse inputs into on-demand, model-training-ready formats, delivering a 10x+ improvement in data quality
We don’t leave diversity to chance—we engineer it axis by axis. By multiplying embodiments, object, spatial, semantic, and visual dimensions, we generate exponentially growing data at scale in a highly cost-effective way
View DetailsShifting data collection from legacy offline, sequential methods to an online, fleet-wide, massively parallel human-in-the-loop engine. By eliminating entry barriers, we leverage a global user base to drive generation at 10x the efficiency
View DetailsShifting real-world data capture from expensive, hardware-heavy setups to a zero-barrier, mobile egocentric app. By pairing SOTA real-time hand pose tracking with our existing global workforce, we seamlessly translate human vision into robotic motion at massive scale
View DetailsShifting from raw data accumulation to model-centric data engineering. Equipped with a rich toolset, our pipeline processes diverse inputs into on-demand, model-training-ready formats, delivering a 10x+ improvement in data quality
View Details