China's Yuedian Technology Raises Pre-A To Build A Palantir For Chinese Enterprises

Beijing enterprise-AI company Yuedian Technology, spun out of Minglue's knowledge-graph line, raised tens of millions of yuan Pre-A led by Infotech Ventures for its Palantir-inspired decision-intelligence platform.

China's Yuedian Technology Raises Pre-A To Build A Palantir For Chinese Enterprises

Beijing-based enterprise-AI company Yuedian Technology has raised tens of millions of yuan in a Pre-A financing led by Infotech Ventures, with participation from ShuiMu Venture Capital. The new capital funds model training, product development and replication of deployments already validated with paying customers.

A China-first Palantir play

Yuedian grew out of Minglue's knowledge-graph business and has long used Palantir as its product reference. Its software connects private enterprise data, knowledge and AI agents so customers can move from finding information to making decisions and executing tasks inside existing systems — exactly the model Palantir has ridden into commercial-AI ubiquity.

The numbers, and the caveats

The company reports nearly 100 paying customers, break-even operating economics, more than 300% compound annual growth in orders and revenue between 2023 and 2025, and more revenue in H1 2026 than in all of 2025. Those figures come from company interviews and are unaudited. If they hold, Yuedian is a rare example of a Pre-A enterprise-AI business that is already profitable rather than burning capital to buy usage.

Enterprise decision-intelligence stack

Where enterprise AI is headed in China

Chinese enterprise AI is bifurcating: foundation-model builders competing on parameter counts and inference cost, and applied-AI companies like Yuedian betting that owning the customer's ontology, permissions, processes and decision rules is the durable moat. The $300M Alibaba-led round for UniPat AI and Beijing's chip-price hikes highlight the infrastructure end of that split; Yuedian sits at the other.

What's next

Yuedian plans to publish deployment case studies from its finance and manufacturing customers, hire senior GTM leadership and expand its agent-orchestration product before targeting a Series A in 2027.

Reporting based on coverage from Sina Finance and Tech Startups.

Category: AI & Technology

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