VC GPT: How LLMs are strengthening SignalFire’s in-house AI

• SignalFire has been building AI internally to help their investment and talent teams for a decade. Now they’re integrating LLMs into their Beacon AI data platform to speed up workflows and surface more accurate and comprehensive results for company and people searches.

• Applying GPT lets them surface concise summaries of companies they’re evaluating and similar companies who might be competitive, and it allows them to route high-potential companies to the right investment team members.

• GPTs let them unify different job titles that mean the same thing to expand results for recruiting searches, programmatically understand gaps in teams, and provide more sales leads with contact info to portfolio companies.

• Experimentation is critical to learn where LLMs perform best, when to use off-the-shelf models vs. in-house models, and how to minimize costs as they continue to pioneer new approaches to using AI in venture.

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