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Mecka AI says Sequoia led its Series B

10 OCTOBER 2026·2 MIN READ·4 SOURCES

Mecka AI says Sequoia Capital led its Series B, with NVIDIA, M12, Qualcomm Ventures and Samsung joining as new investors. The company says it will use the financing to fund data infrastructure, internal research and commercial robot deployment.

Mecka AI says Sequoia led its Series B

Key takeaways · 4

  • 01

    Sequoia Capital led Mecka’s Series B; NVIDIA, M12, Qualcomm Ventures and Samsung joined, while Kindred, Framework Ventures and Neo continued as investors.

  • 02

    Mecka says the financing will support data infrastructure, internal research and commercial robot deployment.

  • 03

    Mecka pays people to record everyday tasks using body sensors and smartphones.

  • 04

    Mecka reported a run rate above $100 million in June 2026 and projected $300 million by year-end.

What the financing supports

Mecka says Sequoia Capital led its Series B.[1] NVIDIA, M12, Qualcomm Ventures and Samsung joined as new investors, while Kindred, Framework Ventures and Neo continued their investment.[1] The company says it plans to put the financing toward data infrastructure, internal research and commercial robot deployment.[1] The available evidence does not state the size of this Series B. A separate $60 million figure refers to Mecka’s earlier Series A, which consisted of a $25 million initial round and a $35 million extension.[3]

How Mecka gathers robot-training data

Mecka collects and analyzes human-motion data to train humanoid and other robots.[2] It pays people to record everyday activities, including making coffee and fixing cars, while wearing body sensors and using smartphones.[2] The company says physical-world motion, contact, force and geometry data cannot be scraped, licensed or bought.[1] It tested its approach with researchers at Georgia Tech, Stanford, UC San Diego, ETH Zürich, MIT and Meta through a project called EgoVerse.[1] Mecka says its goal is to build the data and deployment layer for robotics.[1]

The technology and deployment model

Mecka says it has built a stack spanning capture hardware, reconstruction models and quality infrastructure, and that it designs and manufactures its own multisensor hardware.[1] It operates capture fleets that record human demonstrations in homes and commercial environments.[1] Its internal lab develops computer-vision and multimodal models for motion tracking, 3D reconstruction and sensor alignment.[1] The company says its hand-pose technology achieves sub-centimeter accuracy on in-the-wild data.[1] Its deployment model captures data on site, post-trains robots and improves them as they operate.[1]

Commercial claims and company context

Mecka says it supplies several leading robotics labs and multiple Mag 7 companies.[1] It reported exceeding $100 million in run-rate revenue in June 2026, after a few months of operations, and projected a $300 million run rate by the end of the year.[1] These are company-reported figures and a forward-looking projection. Mecka says it provides enterprises with hardware, data capture, post-training, integration and ongoing operations for physical-AI deployments.[1] Founded in 2024, the company is based in Toronto and New York City; three of its four co-founders are Canadian and most staff are in Toronto.[2][3]

The announcement points to an investment opportunity in the data and deployment work needed to train and operate robots, not only in robot hardware. For teams evaluating physical-AI projects, Mecka’s described offering spans data capture through ongoing operations, so buyers and builders can assess which parts they need to source or develop themselves.

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How this developed

  1. 10 October 2026

    Mecka AI says Sequoia led its Series B

Sources

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