Mecka raises $60M Series B led by Sequoia to build robotics training data

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.