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Ant Group Leads Series C Funding for AI Agent Developer Entropy Science

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The financial technology sector has reached a new milestone as Entropy Science, a leading developer of AI-powered financial intelligent agents, officially announced the completion of its Series C financing round. This strategic investment was spearheaded by Ant Group, with significant participation from follow-on investors Oriental Fortune Capital and Qiao Bei Capital. While the specific financial terms of the deal remain undisclosed, the capital injection marks a critical step in the integration of advanced artificial intelligence within institutional investment infrastructures.

Strategic Partnership and AI Model Development

The collaboration between Entropy Science and Ant Group extends beyond capital investment, focusing on the technical evolution of financial ecosystems. The two entities have committed to a deep partnership centered on the research and development of AI financial intelligent agents and the training of financial vertical large language models (LLMs). This initiative aims to enhance the precision of data processing and decision-making for professional market participants.

  • Focus on specialized financial vertical model training for higher accuracy.
  • Development of autonomous agents capable of performing complex market analysis.
  • Integration of AI tools into existing institutional workflows.

Product Evolution and Institutional Reach

Founded in 2017 by Fei Binjie, Entropy Science has rapidly scaled its presence in the institutional space through its core product, AlphaEngine. The platform currently serves over 100,000 institutional investors and provides coverage for more than 9,000 financial institutions. This year has seen significant product milestones that demonstrate the company's technical trajectory:

  • March 2026: Launch of AlphaClaw, a dedicated financial investment research intelligent agent.
  • September 2026: Release of the AlphaEngine institutional version, featuring a local-first architecture to ensure data privacy and security.

Local-first architecture is increasingly favored by financial institutions to maintain control over sensitive data while utilizing cloud-based AI capabilities.

The successful Series C round underscores the growing demand for sophisticated AI tools that can navigate the complexities of modern global markets, including those involving blockchain assets and traditional equities. By securing the backing of a major player like Ant Group, Entropy Science is positioned to refine its AlphaClaw and AlphaEngine ecosystems, potentially setting new standards for how institutional intelligence is gathered and utilized in the digital age.

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