Rhoda AI Raises $450M And Launches Video-Driven Robot Intelligence Platform

• The company emerged from 18 months in stealth with a robotics system that predicts future visual states and converts them into robot actions in real time.
• A $450 million Series A round will fund research, expand deployments with industrial partners, and grow the engineering team.

Rhoda AI has emerged from 18 months in stealth with $450 million in Series A funding. The company is developing robot foundation models designed to help robots operate in real-world environments beyond controlled lab settings. Backers in the round include Khosla Ventures, Temasek, and Capricorn Investment Group.

The company’s work centers on FutureVision, a foundation model trained on internet-scale video. Rhoda says it uses hundreds of millions of videos to build a prior on motion, physics, and physical interaction. The model is then trained further on smaller amounts of robot data to learn embodiment-specific behaviors and the mapping from video predictions to robot actions. The approach is intended to address conditions such as shifting layouts, unseen objects, and unpredictable workflows that have limited automation in real-world settings.

“We believe the next era of robotics requires models that understand how the world moves — not just what it looks like or how it’s described in language,” said Jagdeep Singh, cofounder and CEO of Rhoda, in a press release. “By learning from internet-scale video and operating in closed loop, our systems are designed to adapt to real-world variability in ways conventional approaches struggle to achieve. The goal is simple: robots that work in the real world, not just controlled lab settings.”

Rhoda says its system continuously observes the environment, predicts future states as video, converts those predictions into actions, and updates its behavior as conditions change. The company says the technology has already demonstrated autonomous operation in production environments. In a recent manufacturing evaluation, Rhoda says it completed a component-processing workflow in under two minutes per cycle without human intervention. The new funding will support further research, expanded deployments, customer pilots, and continued growth of the company’s team across generative AI, computer vision, and robotics.

🌀 Tom’s Take:

Most robots need huge amounts of robot training data. Rhoda is trying a different route, teaching robots how the world moves by learning from massive amounts of video first.

Source: Business Wire / Rhoda AI