SimVC

About

SimVC

Investors rarely tell founders the real reason they passed. The email says “not a fit for our thesis.” The useful information — missing proof, unclear wedge, weak traction story, category confusion, round-shape mismatch — stays hidden.

SimVC gives founders a rehearsal room before the real room. Upload a pitch deck and SimVC runs a multi-round cohort simulation across 150–300 distinct investor entities: cold read, round 1 and round 2, with rounds that conditionally skip and say so instead of faking a neat three-act story. The cohort is composed of psychology-grounded investor archetypes, not named real firms or celebrity personas, and stage is load-bearing: angel, pre-seed and seed rooms are judged against different bars.

The core deliverable is the output triad founders can act on: ranked pass reasons, a diligence dossier, and an interactive partner-meeting drill. The system can also use sourced-or-null benchmarks, including company and grant-context data, and it has a grant-fit companion for deterministic eligibility checks plus reviewer-panel evaluation against published program criteria.

It is deliberately bounded. SimVC does not predict fundraising success, does not emit a funding or award probability, and does not pretend to reproduce a specific real investor. Guardrails scrub banned entities from founder-visible strings, contract checks watch for genericness or invalid output, and adaptive delivery/repair paths are designed to survive LLM failure modes.