How Harmonic built an investment agent with LangGraph and LangSmith— so VCs can focus on founders

Harmonic, a startup discovery engine, has enhanced its capabilities for venture capitalists (VCs) by integrating LangChain's LangGraph and LangSmith frameworks, significantly improving search and research functionalities. By aggregating vast data sources and employing natural language search, Harmonic allows users to efficiently discover and analyze startups, reducing the time to find suitable investment opportunities. The implementation of LangGraph has streamlined the development of agentic workflows, empowering investors with sophisticated search capabilities that translate natural language queries into actionable results. LangSmith's integration offers robust prompt versioning and collaborative prompt engineering, enhancing model performance and user interaction visibility. This innovative approach has reduced search times from hours to under a minute and increased positive search outcomes by 30%, making Harmonic a valuable tool for VCs looking to navigate the complex landscape of early-stage startups and secure the best investment deals.

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