XDOF
"Defining motion for autonomous systems."
US robotics-data infrastructure startup founded October 2024; raised $70M to build teleoperation datasets for training robot foundation models.
XDOF is a robotics data infrastructure company founded in October 2024 by Philipp Wu (chief executive), Fred Shentu (chief technology officer), and Nemo Jin (chief operating officer). The company emerged from stealth in June 2026 with $70 million in funding from Thrive Capital, Andreessen Horowitz, Spark Capital, Lux Capital, and WndrCo.
XDOF builds data pipelines, collection tools, and annotation systems for training robot foundation models, working directly with AI labs that need teleoperation and manipulation data at scale. Its offerings span three tiers: teleoperation data collected on a customer's own target robot, data gathered using teleoperated robots including the GELLO low-cost teleoperation system co-developed by its founders, and planned egocentric data collection from humans using wearable sensors. In June 2026 the company released ABC-130K, an open-source dataset of more than 130,000 robot manipulation demonstrations across 195 bimanual tasks such as folding shirts, unfolding boxes, and loading AirPods cases, developed with researchers from UC Berkeley, Carnegie Mellon University, MIT, and Amazon.
As of mid-2026 XDOF employed approximately 60 people and worked with about 20 customers, including several AI laboratories. In September 2026 the company was reported to be in talks for a Series B round at a $1.2 billion valuation.
Primary type & automation activities this supplier delivers:
ABC-130K Teleoperation Dataset
- Model: ABC-130K
- Launch Year: 2026
Largest open-source teleoperation dataset with 130,000+ bimanual manipulation demonstrations across 195 tasks, developed with UC Berkeley, CMU, MIT, and Amazon.
Company Facts
Founded
2024
Primary Role
Software/Algorithm
Company Size
-
Primary Region
North America
Annual Sales
-
Funding Stage
Early-Stage VC
Funding Total
-
Keywords
- XDOF
- robotics data
- teleoperation
- AI infrastructure
- open-source dataset
- robot training data
- teleoperation dataset
- bimanual manipulation
- ABC-130K
- GELLO
- embodied AI infrastructure
- robot foundation model
- Software/Algorithm
- Component Supplier
- Control & Software
- Cloud & Data
- Manufacturing
- Logistics & Supply Chain
- Education & Research
- Pick and Place
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