Gamma vs Skild AI
Side-by-side comparison of AI visibility scores, market position, and capabilities
AI presentation platform hit $100M ARR profitably with 70M users and a lean 50-person team; raised $68M Series B at $2.1B valuation in Nov 2025; generates polished presentations from prompts, eliminating blank-canvas friction.
About
Gamma is an AI presentation and content platform founded to replace the painful, design-constrained experience of traditional slide software with AI-native document creation. Built on the insight that most people spend more time fighting PowerPoint formatting than crafting compelling narratives, Gamma's AI generates polished, visually structured presentations, documents, and webpages from a prompt or outline — eliminating the blank-canvas problem that makes presentation creation a dreaded task.\n\nGamma's platform produces presentations, one-pagers, and web-friendly documents with consistent design, embedded media support, and real-time collaboration. Unlike traditional slide tools, Gamma outputs are responsive and shareable as links, making them more versatile for modern workflows where content is consumed on multiple devices. Users can generate a complete deck from a topic prompt, remix existing content, or use Gamma as an AI co-writer for business communications and thought leadership.\n\nGamma reached $100M ARR profitably with a lean 50-person team and 70 million users — a capital efficiency ratio that is exceptional even by startup standards. The company raised $68M in a Series B at a $2.1B valuation in November 2025. This combination of massive user scale, revenue profitability, and strong investor backing reflects Gamma's ability to serve both the consumer and professional markets for AI-generated content. Its trajectory positions it as a durable challenger to Google Slides and PowerPoint in an era when AI-native tools are rapidly displacing legacy productivity software.
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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