Built for VC: Source Faster, Score Smarter, Decide Sooner

Volume versus signal is the core problem. A typical early-stage fund sees two thousand or more deals per year and invests in fewer than twenty. Most triage is still manual: an analyst opens a deck, skims the executive summary, and makes a gut call on whether to dig deeper. At that volume, even excellent analysts miss good deals and waste time on poor ones. The bottleneck is not sourcing, it is identifying the right opportunities fast enough to act on them.

Speed is a competitive advantage. Founders choose investors who move fastest. When two firms offer similar terms, the one that completes diligence and reaches an IC decision in days rather than weeks wins the allocation. Slow decision-making is not just an operational inconvenience, it is a structural disadvantage in competitive rounds where timing determines access.

Pattern recognition requires structured history. Without a systematic record of past evaluations, every deal is assessed from scratch. An analyst who joined six months ago has no visibility into why the fund passed on a similar company last year. The lessons from two thousand prior evaluations are locked in email threads, personal notes, and departed team members' memories. Structured institutional memory turns past decisions into a compounding advantage.