Sarvam AI vs Skild AI
Side-by-side comparison of AI visibility scores, market position, and capabilities
India's sovereign AI unicorn. Raising ~$350M at $1.5B. Sarvam 30B and 105B models for Indian languages. Largest IndiaAI GPU allocation. Founded 2023, Bengaluru.
About
Sarvam AI was founded in 2023 in Bangalore by Vivek Raghavan and Pratyush Kumar, researchers with deep expertise in Indian language technology and AI systems. The company's mission is to build India's sovereign AI stack—foundation models trained on Indian languages and cultural contexts that serve the specific needs of India's 1.4 billion people, the majority of whom are more comfortable in regional languages than English. Sarvam is building multilingual models covering Hindi, Tamil, Telugu, Kannada, Bengali, Marathi, and other major Indian languages at a depth that global models have not prioritized.\n\nSarvam has developed the Sarvam 30B and 105B parameter foundation models, trained with a significant proportion of Indian language data and optimized for voice, text, and multimodal interactions in Indian linguistic contexts. Its products include speech recognition, text-to-speech, translation, and general-purpose LLM capabilities accessible via API. The company is deeply integrated with India's government AI initiatives—it received the largest GPU allocation under the IndiaAI Mission, giving it compute resources equivalent to India's national AI research infrastructure.\n\nSarvam is raising approximately $350M at a $1.5B valuation in 2026, which would make it India's first AI unicorn. The company benefits from strong government backing, a clear national mandate, and the unique advantage of being the best-resourced team focused exclusively on Indian language AI. As India's digital economy grows and voice-first AI interfaces become more common, Sarvam's language-native models are positioned to power a wide range of consumer and enterprise applications across the subcontinent.
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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