Sequoia Leads Robotics Training Data Push
Key Summary
Mecka.ai has secured a $60 million Series B round led by Sequoia Capital to build an internet-scale dataset for training robots. The company aims to gather egocentric data from real-world settings, using body sensors, smartphones, and specialized hardware. This funding brings Mecka's total raised to $128 million across three rounds, with the company reporting an annual run-rate revenue of over $100 million as of June 2026.
Introduction to Mecka.ai
Mecka.ai has raised a $60 million Series B round led by Sequoia Capital to build an internet-scale dataset for training robots. The company aims to gather egocentric data from real-world settings, using body sensors, smartphones, and specialized hardware. This funding brings Mecka's total raised to $128 million across three rounds, with the company reporting an annual run-rate revenue of over $100 million as of June 2026.
The Importance of Egocentric Data
Mecka collects egocentric data, meaning footage and motion captured from the first-person perspective of the person doing the task. This type of data is crucial for training robots to perform complex tasks, as it allows them to learn from real-world scenarios. The company's in-house video-understanding lab focuses on motion tracking and 3D reconstruction, turning flat video into spatial information a machine can learn from.
Mecka's Dataset: EgoVerse
Mecka has built a dataset called EgoVerse, which contains a vast amount of egocentric data. The target customers are developers working on humanoid robots and embodied AI. The dataset is expected to be a game-changer in the robotics industry, enabling robots to learn from real-world experiences and improve their performance.
The Team Behind Mecka
Mecka was founded by Josh Gao, Jason Chong, Mogen Cheng, and Duy Nguyen. The company operates out of New York and Toronto, with a team of 40 to 60 employees.
Conclusion
Mecka's $60 million Series B round is a significant milestone in the company's journey to build a comprehensive dataset for training robots. With its unique approach to collecting egocentric data and its commitment to building a robust dataset, Mecka is poised to play a crucial role in the development of humanoid robots and embodied AI.
The Future of Robotics
The robotics data race is heating up, with companies like Mecka competing to build the most comprehensive datasets. The first question to answer is whether Mecka hits its expected $300 million run-rate by the end of the year. Growing from over $100 million in June to triple that in six months would require serious momentum. The second question is how well egocentric human data actually transfers to machines. A human hand and a robot gripper are not the same tool, and motion tracking and 3D reconstruction have to bridge that gap. The third question is valuation. Without a disclosed post-money figure, outsiders are left with earlier talk of roughly $500 million.