Rhoda AI vs Skild AI
Side-by-side comparison of AI visibility scores, market position, and capabilities
Robotics foundation model company; $450M Series A at $1.7B (Mar 2026); trains robot models on internet-scale video data; led by ex-QuantumScape CEO. Most-funded robotics debut ever.
About
Rhoda AI is a robotics foundation model company that exited stealth in March 2026 with a landmark $450M Series A at a $1.7B valuation, making it one of the best-funded robotics AI startups ever at inception. The company is building general-purpose foundation models for physical robots trained on internet-scale video data—a fundamentally different approach from most robotics AI companies that rely on task-specific training in simulation or controlled environments. By learning from the vast corpus of human and animal motion captured in online video, Rhoda aims to give robots the broad physical intuition they need to operate in unstructured real-world environments.\n\nRhoda's technical approach centers on video-based pre-training: using transformer architectures to learn physical world models from billions of video frames, then fine-tuning for specific robotic embodiments and tasks. This mirrors how vision-language models benefited from internet-scale image-text pre-training. The company is led by the former CEO of QuantumScape, bringing deep experience scaling deep-tech ventures from research to commercial deployment. Target applications include industrial automation, logistics, and consumer robotics—anywhere robots need to generalize beyond narrow scripted behaviors.\n\nRhoda's enormous Series A reflects the current investor conviction that foundation model approaches will transform robotics just as they transformed language and vision AI. The company competes in a space alongside Physical Intelligence (Pi) and Figure AI, but its specific focus on video-based training at internet scale is a distinctive technical bet. With substantial capital and high-profile leadership, Rhoda is positioned to be a defining company in the emerging robotics foundation model category through 2026 and beyond.
Universal robot brain startup raised $1.4B Series C at $14B valuation in Jan 2026 led by SoftBank with Nvidia and Bezos; $30M 2025 revenue; deployed at Foxconn
About
Skild AI is building a universal robot brain — a foundation model for physical intelligence that can power a broad range of robot types without requiring task-specific training for each deployment. Founded to solve the fragmentation problem in robotics AI, where every robot type and task requires separate model development, Skild's approach trains a single generalist model on diverse robotic data and fine-tunes it rapidly for specific deployments. The company was founded by robotics AI researchers who identified the model reuse gap as the primary barrier to scalable robot deployment.\n\nSkild's generalist robot model has been deployed across more than 30 distinct robot types — spanning manipulation arms, mobile platforms, and humanoid form factors — demonstrating the cross-hardware generalization that most robot AI systems lack. The platform targets robotics manufacturers, logistics operators, and industrial automation companies that need AI-capable robots but lack the internal ML infrastructure to develop foundation models themselves. By offering a model-as-a-service layer, Skild enables robot OEMs and systems integrators to add AI capabilities without building the underlying research infrastructure.\n\nSkild AI raised a $1.4 billion Series C in January 2026 at a $14 billion valuation, led by SoftBank with co-investment from NVIDIA and Jeff Bezos. The round was one of the largest in robotics AI history and reflects institutional conviction in the physical AI market's scale. With $30 million in 2025 revenue and accelerating enterprise deployments, Skild is building the financial foundation to match its valuation. The SoftBank-NVIDIA investor combination positions Skild at the center of the global robotics deployment wave.
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