Kaiwu Ji's Series A Backs Full-Stack AI Materials Platform From Lab to Production

Kaiwu Ji has closed a Series A round to scale its AI-driven materials discovery platform, which combines deep learning with high-throughput experimentation in a closed loop from lab synthesis to ton-scale manufacturing. The raise signals a maturing conviction in China that AI applied to materials science is no longer speculative — it is an industrial infrastructure play.

When AI Meets Materials Science at Industrial Scale Kaiwu Ji's Series A is not simply another AI startup raise. It marks a concrete bet that the most consequential application of large-scale deep learning in the next decade may not be in software or services, but in the physical world — specifically in accelerating how new materials move from initial discovery to manufacturable reality. The round signals that investors in China are willing to back full-stack vertical AI platforms that own the entire chain from model to experiment to production, not just the software layer on top of someone else's data. For anyone watching where AI is generating real-world ROI rather than infrastructure spend, this is a company worth understanding. ## What Kaiwu Ji Actually Builds Kaiwu Ji describes itself as an AI4Materials company — a term that deserves unpacking. The core product is a full-stack material innovation platform built…

Kaiwu Ji's Series A Backs Full-Stack AI Materials Platform From Lab to Production

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