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DealsFlow reduces score inflation

Researchers deployed the DealsFlow agent at a UK fund, requiring evidence before assigning investment ratings. On a sample of 142 investments, the pipeline achieved a Spearman correlation of 0.45 with actual outcomes.

Field
applying language models
What they did
Developed a system called DealsFlow where a language model analyzes startup pitch decks, but its investment scores are adjusted by algorithms that can lower but never raise scores without evidence.
Why it matters
This prevents inflated investment scores and makes conclusions verifiable, which is useful for funds making investment decisions.
#llm#venture capital#agentic harness#deal triage#evidence gating

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