Hume AI vs Skild AI
Side-by-side comparison of AI visibility scores, market position, and capabilities
Empathic voice AI with 100K+ developer users. Google DeepMind licensing deal (2026). EVI supports 11 languages. Projecting $100M revenue. Founded 2021, NYC.
About
Hume AI is an empathic AI company founded in 2021 with the mission of building AI systems that understand and respond to human emotional expression. The company was founded by Alan Cowen, a former Google researcher who pioneered the scientific study of emotional nuance in AI, and is built on the thesis that AI systems capable of perceiving emotional cues will be safer, more useful, and more human-centered than emotionally oblivious alternatives. Hume's research heritage gives it a defensible scientific moat in a space where most competitors treat voice AI as a purely acoustic engineering challenge.\n\nHume's flagship product is EVI (Empathic Voice Interface), a conversational voice AI API that processes not just the words spoken but the emotional tone, prosody, and expression of the speaker to generate more contextually appropriate and emotionally resonant responses. EVI supports 11 languages and is used by developers building voice agents, mental health applications, customer service systems, and AI companions. In 2026, Google DeepMind entered a licensing agreement with Hume to incorporate its emotional intelligence technology — a landmark validation of Hume's foundational research. The developer platform has attracted more than 100,000 users.\n\nHume AI is projecting $100 million in annual revenue and continues to grow its developer base through a combination of API pricing and enterprise agreements. The Google DeepMind licensing deal provides both recurring revenue and industry validation that Hume's emotional AI technology is considered best-in-class by one of the world's most credible AI research organizations. As voice AI proliferates across consumer and enterprise applications, Hume's emotional intelligence layer is increasingly seen as essential infrastructure for building AI experiences that feel natural and trustworthy.
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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