Palo Alto-based Rhoda AI announced on March 10, 2026, the close of a $450 million Series A funding round and simultaneously revealed FutureVision, its video-predictive robotic intelligence platform — marking one of the largest single-round raises in the emerging embodied AI sector.
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Funding and Valuation
<cite index="3-2,3-3">The investment values Rhoda AI at $1.7 billion.</cite> <cite index="3-13">The round attracted support from Khosla Ventures, Temasek, Mayfield, Premji Invest, and Capricorn Investment Group.</cite> <cite index="1-1">Proceeds 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>
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The FutureVision Platform
<cite index="9-1">Rhoda AI unveiled FutureVision as a new approach to robotic intelligence based on video-predictive control, designed to operate beyond controlled laboratory demonstrations and into real-world environments.</cite>
The core technical architecture underpinning FutureVision is what the company calls the Direct Video-Action (DVA) model. <cite index="2-5">Rhoda refers to this architecture as a Direct Video Action (DVA) model, which it says is designed to connect perception and control to enable more responsive operation in dynamic environments.</cite> <cite index="7-3">The company said its DVA architecture pretrains models on hundreds of millions of internet videos to learn motion and physics before fine-tuning with smaller amounts of robot data, allowing systems to adapt to changing conditions in closed-loop control.</cite>
<cite index="2-3,2-4">The system continuously observes its environment, predicts future states using video-based modeling, and converts those predictions into actions — a process that runs in a closed feedback loop, updating robot behaviour every few hundred milliseconds as conditions change.</cite>
A key efficiency claim concerns onboarding new tasks: <cite index="8-6">the strong motion prior learned during Rhoda's natively autoregressive video-based pretraining allows the model to learn new tasks efficiently, often requiring as little as ten hours of teleoperation data.</cite>
<cite index="1-8">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>
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Production Performance
<cite index="6-7,6-8">Rhoda's technology has already demonstrated autonomous operation in production environments, where robots must handle continuously changing materials, layouts, and workflows. In a recent high-volume manufacturing evaluation, Rhoda completed a component-processing workflow in under two minutes per cycle without human intervention, exceeding customer key performance indicators (KPIs).</cite>
<cite index="3-10,3-11">Rhoda AI states its platform is built for compatibility with diverse robotic hardware, allowing manufacturers and logistics firms to implement intelligent robots without needing to overhaul their current infrastructure.</cite> The company has also indicated plans to eventually develop humanoid-style robots and in-house hardware.
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Market Context
The raise arrives during a pronounced surge of investor interest in embodied AI systems. <cite index="14-13,14-14,14-15">The embodied AI market is accelerating sharply: full-year funding rose from approximately $3.09 billion in 2024 to approximately $4.23 billion in 2025, and year-to-date 2026 figures had already reached approximately $5.60 billion by early July — exceeding the entire 2025 total before the year was half over.</cite>
<cite index="12-1,12-2">The rise in funding reflects a marked shift in perception among venture investors about the robotics sector, which was traditionally considered an expensive, asset-heavy hardware gamble — with investors now drawn in particular to embodied AI, or artificial intelligence with a physical body that interacts with the real world in real time.</cite>
Investor conviction in Rhoda's specific approach was articulated by Premji Invest's Managing Partner: <cite index="8-8">"We believe the first company to deploy intelligent, manipulation-capable robots at scale in real-world environments will kick-start a powerful data flywheel, creating a compounding advantage in capturing the long tail of real-world edge cases."</cite>
Rhoda AI's stealth exit positions it alongside a cohort of well-funded robotics intelligence companies — including agility-robotics and apptronik — vying to establish foundation models as the dominant intelligence layer for physical automation across manufacturing and logistics.