Mecka AI Secures $60 Million in Funding to Advance Robotics Through Human Data

New York City-based Mecka AI, a startup focused on training robots using human physical data, has raised $60 million in a Series A funding round, according to a report from Fortune. The company, founded by Josh Gao and three co-founders, aims to leverage human motion data—including hand gestures, walking gaits and other physical movements—to enhance robotics development. This latest funding brings Mecka AI’s total capital raised to $60 million, with a $25 million Series A round closed in November 2025 and a follow-on investment of $35 million.

Investors Back Mecka AI’s Vision for Embodied AI

The funding was led by Framework Ventures, a venture capital firm known for its focus on crypto and emerging technologies, with additional support from Menlo Ventures, SV Angel, Kindred Ventures, and angel investor Ted Xiao, a former Google DeepMind researcher and co-founder of Jeff Bezos’s AI startup Project Prometheus. Gao, Mecka AI’s CEO, emphasized the growing importance of robotics in the AI landscape, stating, “Many folks are now looking and realizing that robotics is going to be one of the most vital waves that’s happening.”

The startup’s approach centers on “embodied AI,” which involves training machines to understand and interact with the physical world through human-like data. Unlike traditional AI models that rely on visual or textual inputs, Mecka AI’s technology captures physical motions via body sensors and smartphones, creating a repository of human movement patterns. This data is then used to refine robotic systems, potentially accelerating advancements in areas like autonomous vehicles, industrial automation, and assistive technologies.

Context in the Broader AI and Robotics Landscape

Mecka AI’s strategy aligns with broader trends in AI innovation. Companies like Wayve, a British autonomous driving firm, have previously used camera data to train AI models, while startups such as MicroAGI have experimented with capturing human actions through home-cleaning services. However, Gao positions Mecka AI as a “first mover” in the field, highlighting its unique focus on physical motion data as a competitive advantage.

The company’s growth follows the sale of Gao and co-founder Mogen Cheng’s prior venture, which developed payment technology for restaurants. This experience in scaling tech solutions for real-world applications has informed Mecka AI’s approach to robotics, according to the founder.

Challenges and Ethical Considerations

As Mecka AI expands, it faces questions about data privacy and ethical use of human motion information. The collection of body sensors and smartphone data raises concerns about consent, security, and potential misuse. While the company has not detailed its data governance policies, industry experts stress the importance of transparency in such ventures to build public trust.

“The next wave of progress in robotics will depend on how effectively we can bridge the gap between human intuition and machine learning,” said Umesh Padval, a managing partner at Seligman Ventures, in a statement. “Mecka AI’s focus on embodied data could redefine how robots interact with the physical world.”

Looking Ahead

With its recent funding, Mecka AI plans to scale its data collection infrastructure and refine its training algorithms. The company’s long-term vision includes applications in healthcare, manufacturing, and consumer robotics. As the AI and robotics sectors continue to evolve, Mecka AI’s success will hinge on its ability to balance innovation with ethical responsibility.