Use Case
AI agents that score, match, and generate IC-ready reports — with compound intelligence that improves every run via Knowledge Graph.
Manual research across 10+ sources per investor. Days per shortlist.
Scoring depends on who reviewed, not data. Inconsistent across rounds.
Start from zero every round. No memory of what worked last time.
Pull data from LinkedIn, Specter, and the web to build complete investor profiles — portfolio history, check sizes, sector focus, and activity signals.
Score every investor against your custom criteria: thesis alignment, check size fit, portfolio overlap, geographic match, and stage preference.
Automatically compile scored shortlists into Investment Committee reports with match rationale, risk flags, and recommended outreach angles.
Knowledge Graph stores every match and its outcome. Scores recalibrate each run — the system gets smarter the more you use it.
3,000+
profiles scored
89%
prediction accuracy after 12 runs
Minutes
to IC-ready reports
LinkedIn
Affinity
Specter
Mistral
Web Search