• Demo: Agentic FinSearch

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Accurate retrieval of real-time financial data is a core infrastructure for building FinAgents. Our Agentic FinSearch is considered as a cornerstone towards democratizing financial intelligence to the general public. Also, it serves as a reference architecture for safe AI adoption in the financial services industry.

Key Features

  • By design, our Agentic FinSearch emphasizes air-gapped deployment in the production environment, in order to protect user privacy.
  • Numerical accuracy is a critical issue, since one cannot directly apply general-purpose LLMs and agents to business and finance.
  • For safe AI adoption in high-stake domains like finance, lower hallucination & misinformation is a must.
Columbia Affiliations
School of Engineering