Research Paper#AI, Venture Capital, Startup Prediction, Multi-Agent Systems🔬 ResearchAnalyzed: Jan 3, 2026 19:51
LLM Agents Predict Startup Success: A Collective Simulation Approach
Published:Dec 27, 2025 14:34
•1 min read
•ArXiv
Analysis
This paper addresses the critical challenge of predicting startup success, a high-stakes area with significant failure rates. It innovates by modeling venture capital (VC) decision-making as a multi-agent interaction process, moving beyond single-decision-maker models. The use of role-playing agents and a GNN-based interaction module to capture investor dynamics is a key contribution. The paper's focus on interpretability and multi-perspective reasoning, along with the substantial improvement in predictive accuracy (e.g., 25% relative improvement in precision@10), makes it a valuable contribution to the field.
Key Takeaways
Reference
“SimVC-CAS significantly improves predictive accuracy while providing interpretable, multiperspective reasoning, for example, approximately 25% relative improvement with respect to average precision@10.”