XDOF

Market context

XDOF builds robot-learning data infrastructure for frontier robotics teams, spanning data-collection systems, operations, data warehousing and software tooling. The company raised $70 million and released ABC-130K, a large open bimanual teleoperation dataset for behavior-cloning research.

Facts

• Website: https://www.xdof.ai/
• HQ: San Mateo, California, United States
• Founded: 2024
• Segment: physical-AI data infrastructure
• Known funding rounds: 1

Funding

• 2026-06-17 - $70M - XDOF raises $70M for robot data infrastructure - source: techcrunch.com

Investors

• a16z - Participant - Vc - 1 funding event - first seen 2026-06-17
• Lux - Participant - Unknown - 1 funding event - first seen 2026-06-17
• Spark Capital - Participant - Vc - 1 funding event - first seen 2026-06-17
• Thrive Capital - Participant - Vc - 1 funding event - first seen 2026-06-17
• WndrCo - Participant - Unknown - 1 funding event - first seen 2026-06-17

Events

• 2026-06-17 - Research Publication - XDOF and research partners release ABC-130K teleoperation dataset - ABC-130K covers 134,806 episodes, 195 tasks and 3,553 hours of bimanual manipulation data. The ABC release includes open-source training and inference code, model checkpoints, a hardware setup and a simulation pipeline. The dataset is hosted on Hugging Face u…
• 2026-06-17 - Funding - XDOF raises $70M for robot data infrastructure - The capital supports infrastructure for the robot-training data feedback loop, including data pipelines, collection tools and annotation systems. XDOF works with about 20 customers, including several frontier AI labs. XDOF launched in October 2024 to provide…

Team

• Philipp Wu - Co-founder and Chief Executive Officer - His research background connects XDOF's data infrastructure to teleoperation, robot-learning datasets and foundation-model training workflows.
• Fred Shentu - Co-founder and Chief Technology Officer - Teleoperation and robot-learning research form the technical basis for XDOF's data-collection systems for robot foundation-model development.
• Nemo Jin - Co-founder and Chief Operating Officer - Operations leadership for XDOF's data-collection, tooling and annotation business for robotics-model teams.

Context tags

• Teleoperation and data collection - Workflow - ABC-130K is a bimanual teleoperation dataset and XDOF traces its work to GELLO-style teleoperation systems.
• Robot learning infrastructure - Peer Group - XDOF describes its stack as data collection systems, operational capability, data warehouse and software tooling for robot learning.
• Physical AI data infrastructure - Stack Layer - XDOF builds robotics data pipelines, collection tools and annotation systems for frontier labs and robotics companies.
• Robot learning data collection - Workflow - ABC-130K and XDOF customer work center on teleoperation data collection for robot-policy training.
• Embodied data capture - Stack Layer - XDOF supports embodied-AI training data capture through robot demonstrations and physical-world interaction data.