Luma AI vs Skild AI
Side-by-side comparison of AI visibility scores, market position, and capabilities
Raised $900M Series C at $4B+ valuation in Nov 2025 led by Saudi Humain; Ray3 video model rivals Sora 2; integrated into Adobe Firefly; total funding $1.07B
About
Luma AI is a San Francisco-based AI company that has evolved from pioneering neural radiance field (NeRF) technology for 3D capture into a leading generative AI platform for video and 3D content creation. Founded by researchers focused on making photorealistic 3D and video generation accessible to creators, Luma built its reputation with Dream Machine, an early text-to-video model, before advancing to its Ray3 architecture — a video generation model competitive with OpenAI's Sora 2.\n\nLuma's platform enables creators, studios, and product teams to generate cinematic video, photorealistic 3D assets, and immersive scenes from text or image prompts. Its technology is integrated into Adobe Firefly, one of the most widely used creative AI platforms, giving Luma's generation capabilities broad professional distribution. Target customers span independent creators, advertising agencies, game studios, and enterprise media teams seeking to accelerate high-quality visual production.\n\nLuma AI raised $900M in a Series C at a $4B+ valuation in November 2025, led by Saudi Arabia's Humain fund, bringing total funding to over $1.6B. This substantial financing reflects Luma's technical leadership in video and 3D generation at a moment when synthetic media is becoming central to entertainment, advertising, and digital experience creation. The Adobe Firefly integration and competitive Ray3 model position Luma as one of the defining platforms in the generative visual AI market 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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