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Analysis
AddedJun 1, 2026
UpdatedJun 8, 2026
Mecka

Mecka

Series A

Mecka is the data and deployment layer for physical AI, capturing real-world human activity into structured robotics training datasets.

HQ
New York, NY, US
Founded
2024
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Contents

  1. 01Executive Summary
  2. 02Market Outlook
  3. 03Competitive Strengths
  1. 01Executive Summary
  2. 02Market Outlook
  3. 03Competitive Strengths

Memo

Mecka's funding profile centers on $60 million across a $25 million Series A closed in November 2025 and a $35 million follow-on announced in 2026. Framework Ventures led the Series A and follow-on, with Menlo Ventures and SV Angel also participating. A separate Upstarts launch story reported an $8 million launch round, so that article is tracked as launch context rather than added to the Fortune funding total.

The founding team includes CEO Josh Gao, CTO Jason Chong, COO Duy Nguyen, and CPO Mogen Cheng, along with founding engineers Kevin Hu and Anthony Tat. The company is headquartered in New York City with approximately 40 employees and operations expanding internationally including Canada, India, Indonesia, Mexico, the Philippines, and Vietnam.

Market Outlook

The physical AI and robotics data market is positioned for rapid growth as humanoid robots and autonomous systems move from research to commercial deployment. Robotics is projected to become the largest GDP-expanding technology ever, with applications spanning manufacturing, logistics, healthcare, and consumer services.

Mecka sits at the critical data layer of this stack, addressing the fundamental bottleneck that robotics teams face: access to high-quality, diverse, real-world human demonstration data. As competitors like Scale AI expand into physical AI and new entrants emerge, the market for specialized robotics training data is expected to grow alongside the broader robotics industry.

Competitive Advantages

Mecka differentiates itself through a gig-economy data collection model that captures real-world human activity via body sensors and iPhones, creating structured robotics training datasets at scale. Unlike traditional data labeling services, Mecka focuses specifically on physical AI and embodied intelligence, capturing nuanced human motions like hand gestures, walking gaits, and tactile interactions.

The company's EgoVerse platform provides a living dataset validated across major research institutions, giving Mecka both proprietary data pipelines and academic credibility. Backed by $60 million from Framework Ventures, Menlo Ventures, and SV Angel, Mecka projects $100 million in annual run rate and counts Fortune 100 corporations among its early customers.