Mecka Raises $60M Series B led by Sequoia Capital
Mecka, the data and deployment layer for physical AI, led by Josh Gao, Jason Chong, Mogen Cheng, and Duy Nguyen, has raised a $60 million Series B led by Sequoia Capital, backed by new investors including NVIDIA, M12 — Microsoft’s Venture Fund, Qualcomm Ventures, and Samsung, with continued support from Kindred, Framework Ventures, and Neo.
The Physical World Was Never Recorded.
The internet captures information, but not how humans interact with the physical world. Robots lack the real-world experience needed to replicate human actions, making physical data a critical bottleneck for robotics.
While others focused on foundation models, the company recorded real-world human demonstrations, testing the approach through EgoVerse in collaboration with researchers at Georgia Tech, Stanford, UC San Diego, ETH Zürich, MIT, and Meta.
What the Company Built.
The company built an end-to-end infrastructure stack for physical-world data, spanning custom multi-sensor hardware, global human-demonstration capture operations, and in-house AI models for motion tracking, 3D reconstruction, and sensor alignment.
Its customers include leading robotics research labs and several Mag 7 companies. Within months of launch, the company surpassed $100 million in annualized run-rate revenue in June 2026, with a target of $300 million by year-end.
From Data to Deployment.
Mecka delivers end-to-end robotics integration, combining hardware, on-site data capture, model post-training, and ongoing operations. Unlike traditional systems, its deployments continuously improve through real-world data, enabling enterprises to adopt physical AI without building in-house robotics teams.
Humans at the Core.
Inspired by the human-machine partnership of science fiction mechas, the company envisions a future where robots extend human capabilities. From homes and hospitals to factories and space exploration, billions of robots could work alongside people, learning from human experience. The vision places humans at the core, with machines serving as extensions of human skill.
