Side-by-side comparison of AI visibility scores, market position, and capabilities
AI character video platform; 3M+ users; 10M+ videos generated; Character-3 supports 10-minute long-form video; Live Avatars at $0.05/min; $44M raised; founded 2024 in San Francisco.
Hedra is an AI character video generation platform founded in 2024 in San Francisco, built to enable anyone to create high-quality talking character videos from text, audio, or image inputs. The company was founded by former researchers with expertise in generative video, audio synthesis, and multimodal AI, and launched publicly with its Character-1 model — a system capable of generating expressive, lip-synced character animations with cinematic quality from a single portrait image and audio input. Hedra's technology is designed for content creators, marketers, educators, and game developers who need to produce video content at scale without live-action filming.\n\nHedra's product suite includes Character-3, its flagship model that supports long-form character videos up to 10 minutes in length — a significant technical achievement in a space where most models are limited to a few seconds of coherent output. The platform also offers Live Avatars, a real-time interactive character generation feature priced at $0.05 per minute, enabling use cases such as virtual presenters, interactive AI personas, and real-time video synthesis for live applications. Hedra is available as a web platform and through an API, allowing developers to integrate character video generation into their own products.\n\nHedra has grown to more than 3 million users who have collectively generated over 10 million videos on the platform, demonstrating strong organic traction in the rapidly expanding AI video market. The company raised $44M in total funding to accelerate model development and platform scaling. Hedra competes with HeyGen, Synthesia, and D-ID in the AI avatar video segment, differentiating through its long-form generation capability and real-time avatar technology.
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
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.
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.