Funding and Valuation
<cite index="14-1,14-2">On March 10, 2026, Palo Alto-based Rhoda AI announced its public launch after 18 months in stealth, unveiling FutureVision — a new approach to robotic intelligence based on video-predictive control — alongside $450 million in Series A funding to accelerate development and industrial deployment.</cite> <cite index="2-3">The investment values the company at $1.7 billion.</cite>
<cite index="4-10">The company is backed by Capricorn Investment Group, Khosla Ventures, Leitmotif, Matter Venture Partners, Mayfield, Premji Invest, Prelude Ventures, Temasek, and Xora, as well as Silicon Valley leaders such as John Doerr.</cite>
The FutureVision Platform
<cite index="7-2">FutureVision is designed to operate beyond controlled laboratory demonstrations and into real-world environments.</cite> The platform centers on what Rhoda calls a Direct Video Action (DVA) model. <cite index="5-5">The company describes this architecture as connecting perception and control to enable more responsive operation in dynamic environments.</cite>
<cite index="13-5,13-6">Rather than relying primarily on teleoperated robot trajectories, Rhoda pre-trains its models on internet-scale video — hundreds of millions of videos — to build a strong prior on motion, physics, and physical interaction, then post-trains the models on smaller amounts of robot data to learn embodiment-specific behaviors and the mapping from video predictions to robot actions.</cite>
<cite index="5-3,5-4">The system continuously observes its environment, predicts future states using video-based modeling, and converts those predictions into actions, running in a closed feedback loop and updating robot behavior every few hundred milliseconds as conditions change.</cite>
<cite index="7-7,7-8">Unlike open-loop approaches that generate plans without continuous feedback, the DVA system updates its behavior dynamically as conditions change, enabling physics-aware control in real time; the strong motion prior from video-based pretraining allows the model to learn new tasks efficiently, often requiring as little as ten hours of teleoperation data.</cite>
Market Context and Prior Approaches
<cite index="7-4,7-5,7-6">Traditional industrial robots perform well in structured environments but remain largely limited to pre-programmed trajectories. More recent AI approaches — particularly vision-language-action (VLA) models — allow robots to learn from data and have demonstrated impressive results in laboratory settings; however, many still struggle to cope with the variability of the real world, including shifting layouts, previously unseen objects, and unpredictable workflows.</cite>
<cite index="3-8">Rhoda's announcement comes amid a surge in humanoid robot development, with companies such as Tesla, Figure AI, Unitree, and Agility Robotics leading the charge.</cite> The round underscores a broader capital concentration in physical AI — systems designed to perceive, reason, and act in unstructured physical environments — as opposed to purely software-defined large language model (LLM) or enterprise software plays.
Deployment and Business Model
<cite index="17-2,17-3">Rhoda's technology has demonstrated autonomous operation in production environments, where robots must handle continuously changing materials, layouts, and workflows; in a recent high-volume manufacturing evaluation, the company said it completed a component-processing workflow in under two minutes per cycle without human intervention, exceeding customer key performance indicators (KPIs).</cite>
<cite index="7-9">Built on this architecture, FutureVision serves as Rhoda's intelligence layer — a foundation model that powers Rhoda systems today and is expected over time to be licensed to partners across different robotic hardware and software platforms.</cite> <cite index="11-8">The company works with leading industrial partners across manufacturing and logistics.</cite>
Use of Proceeds
<cite index="4-9">The $450 million Series A will support continued research and engineering investment, expansion of industrial deployments and customer pilots, and growth of Rhoda's multidisciplinary team spanning generative AI, computer vision, and robotics.</cite>