Vanity metrics, handpicked references, inflated prior exit narratives — a motivated founder can construct a convincing picture that holds up under a quick pass but not structured verification.
First-time founders, operators from outside the network, or builders who are quiet about their work often produce weak surface signals. Pattern-matching on visibility systematically passes over this cohort.
Each fund encodes their investment thesis — stage, markets, team signals, what they won't invest in. Every deal is evaluated against this lens, not a generic checklist.
NEO — the product's AI agent — automatically enriches every deal: founder background, company context, market signals, public records, synthesized into a structured, sourced output.
When independent sources tell different stories about the same fact — cross-source inconsistencies, implausible absences — the product surfaces it explicitly, with sources.
Synthesizing unstructured data from multiple sources into a trusted diligence output required a quality of reasoning that wasn't there two years ago. It is now.
Funds that can move faster without losing depth have a real edge — and they know it. Willingness to pay for speed is measurable and growing.
Public signals, social footprints, court records, company filings — the raw material exists and is growing. No one has built the synthesis layer specifically for VC.
After two years of generic AI tools, investors are ready for something purpose-built. Domain-specific wins over impressive-but-broad.
1–3 years in. Spends 40–60% of time on research tasks. Becomes a daily user if the product makes them sharper in partner meetings and faster on triage.
Reviews deals, relies on analyst output. Uses the product to gut-check, not to grind. Needs to trust the output before they'll rely on it in a Monday meeting.
Self-serve tiers — no sales conversation required. Credits shared org-wide, not per-seat. Unused add-on credits roll over; included credits reset on renewal. Top-up purchases are an expansion revenue lever.
Avg fund spend: ~$175/mo · ~$2,100/yr. Gross margin: ~67%. 3× markup on API cost. Workflow mix: 90% standard / 10% deep research.