DeepWisdom Secures Hundreds of Millions in Two Funding Rounds Within Two Months, Accelerating Full-Stack Domestic Physical AI Foundation Models

According to QbitAI, the domestic physical AI company DeepWisdom (深度机智) has completed two funding rounds worth hundreds of millions of yuan within two months. The company pursues a full-stack self-developed technology route, aiming to accelerate the commercial deployment of domestic physical AI foundation models.

DeepWisdom focuses on extending AI capabilities from the digital realm into the physical world. Its full-stack self-developed approach spans from underlying models to upper-layer applications, building AI foundation models designed for physical-world scenarios. The two consecutive funding rounds signal strong capital market confidence in both its technology strategy and commercial prospects.

Amid the broader push for domestic AI chips and foundational software independence, DeepWisdom's full-stack strategy represents a differentiated path — building a complete system from the ground up rather than relying on any single technology stack, addressing the high demands for real-time performance, reliability, and safety in physical-world applications.

The rapid cadence of these funding rounds also reflects the heating up of the physical AI sector. Compared to pure language models, physical AI involves robotics, autonomous driving, and industrial automation — higher barriers to entry but also a larger addressable market.