XDOF Nears $1.2 Billion Valuation in Series B Talks Just Months After Stealth Exit

Robot training data startup reportedly approached by 8VC, with annualized revenue nearing $50 million

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By LineZotpaper

Published5 September 2026

Read Time3 min

Sources3 outlets

XDOF, a startup that collects real-world teleoperation data for training general-purpose robots, is in late-stage talks to raise a Series B round at a valuation of about $1.2 billion, led by venture firm 8VC. The discussions come less than three months after the company emerged from stealth and announced a $70 million Series A in June 2026.

According to multiple people familiar with the matter, XDOF was not planning to raise again so soon after its Series A, which included participation from Thrive Capital, Andreessen Horowitz, Lux, and Spark Capital. However, the company's rapid growth — with annualized revenue approaching $50 million — prompted venture capital firms to approach it about a new round. The terms of the deal are not final and could still change; TechCrunch was unable to confirm the total capital being raised or whether the valuation includes the new funding.

Founded in 2024 by UC Berkeley researchers Philipp Wu (CEO) and Fred Shentu (CTO), XDOF aims to build the data pipelines, collection tools, and annotation systems that frontier AI labs and robotics companies cannot easily build themselves. The startup acts as an outsourced data supply chain for the robotics industry.

XDOF's origins trace back to a project called GELLO, a low-cost teleoperation system that allows a human operator to control a robotic arm remotely to generate training data. That research led to an influential paper in robotics, forming the foundation for the company. Investors now describe XDOF as the “Scale AI or Mercor for physical robotics,” referencing the data-labeling giants that fueled the AI boom.

Unlike large language models, which initially trained on vast amounts of internet data, physical robots lack an equivalent real-world dataset, making data collection a critical bottleneck. XDOF addresses this by combining remote robot teleoperation with human collectors who wear sensors to record everyday tasks such as folding clothes and flattening boxes. The startup plans to hire and train teams of data collectors worldwide, including teleoperators and egocentric operators.

XDOF is partnering with UC Berkeley's AI Research lab to release what it believes is the largest collection of high-quality robot training data ever assembled, called ABC. The company previously stated it is already working with 20 customers, including several frontier AI labs.

Other startups attempting to collect real-world data for robot training include Mecka AI, as well as human-data platforms expanding beyond LLMs, such as Scale AI and Micro1.

XDOF and 8VC did not respond to requests for comment.

Analysis

Why This Matters

The rapid ascent from a $70 million Series A to a potential $1.2 billion valuation in three months shows intense investor demand for solutions to the robotics data bottleneck.
If successful, XDOF could become the essential infrastructure layer for general-purpose robotics, similar to how Scale AI became critical for LLM training.
The outcome signals how quickly the robotics AI supply chain is being capitalized, with implications for startups and established labs alike.

Background

Training general-purpose robots has long been hampered by the lack of large, high-quality real-world datasets. While large language models can train on text scraped from the internet, robots require physical demonstration data — human movements, sensor readings, and teleoperation logs — that is expensive and time-consuming to collect. Startups like XDOF have emerged to fill this gap, hiring human operators to remotely control robots or wear sensors to capture everyday tasks. The approach mirrors the data-labeling boom that underpinned the rise of large language models, but applied to the physical world.

Key Perspectives

VCs and Investors: The rapid approach by firms like 8VC suggests strong belief that XDOF's data pipeline will be indispensable as frontier AI labs race to build general-purpose robots. The company's revenue growth is seen as validating the business model. Robotics Labs and AI Companies: For customers, outsourcing data collection allows them to focus on model development rather than logistics. However, reliance on a single vendor for training data may raise concerns about supply chain concentration. Critics and Skeptics: Questions remain about whether the data quality can scale globally and whether competitors such as Mecka AI or established data platforms like Scale AI will erode XDOF's market lead. The lack of comment from XDOF and 8VC means details are still uncertain.

What to Watch

Final terms of the Series B, including total capital raised and whether the valuation includes the new money.
Customer count and revenue growth trajectory as the company scales its data collection workforce.
Any moves from competitors or large AI labs to develop in-house data pipelines, which could challenge XDOF's position.

Sources

XDOF, just three months out of stealth, is in talks for a Series B at a $1.2B valuation — TechCrunch
XDOF, just three months out of stealth, is in talks for a Series B at a $1.2B valuation — Startups | TechCrunch
XDOF, just three months out of stealth, is in talks for a Series B at a $1.2B valuation — AI News & Artificial Intelligence | TechCrunch