The Science Behind the Platform
Your Network Is
Your Fundraise
We didn't build another CRM. We built on decades of network science to turn relationship chaos into your competitive edge.
↓ Explore the science“The warm introduction you need is closer than you think.”Built on 9 peer-reviewed papers across network science, VC research, and AI
Network Science
The Research That Drives Our Design
Our approach is grounded in decades of peer-reviewed research. Here are the four ideas that matter most.
The Strength of Weak Ties
Your acquaintances — not your close friends — open access to entirely new investor clusters. We map your entire team's network, not just the close relationships.
Granovetter (1973), Burt (1992)Small-World Navigation
Any VC is reachable in 2–4 introductions through shortcut edges. Our pathfinding models the distance-reducing potential of each hop, not just abstract shortest paths.
Watts & Strogatz (1998), Kleinberg (2000)Network Position Predicts Success
An investor's network position accounts for 67% of predictive power in outcome models. Companies backed by top-networked VCs have 2× lower failure rates.
Hochberg (2007), Bubna (2020)Three Networks, One Picture
Co-investment, affiliation, and social networks are distinct layers with independent signals. Most tools only capture one. We model all three.
Shi (2025), Poole (2025)Want the full research? Dive deeper.
Living Intelligence
Data That Breathes
We don't think of data as static rows. We think of it as a living network — one that learns, strengthens, and sometimes fades, just like biological systems.
Neurons That Fire Together
Relationships follow Hebbian learning. When two entities co-appear in news, co-invest, or are mentioned together, their connection strengthens. Active relationships naturally rise to prominence.
Intelligent Decay
Unused connections decay — but not by simple time. A connection that was exercised weekly and goes silent for a month fades faster than one that was always quarterly. Decay is relative to expected activity.
The Cosmic Web
Co-investor cliques form galaxy groups. Investor communities coalesce into galaxy clusters. Bridge nodes and weak ties connect superclusters. And between the filaments of activity — voids, where new bridges create the most value.
How We Build
Six Design Principles
Architectural choices that shape what the platform can do and how much you can trust it.
Canonical + Overlay
Shared knowledge commons grows with every user. Your private annotations stay yours.
Epistemic Humility
Every data point carries a confidence score with explained provenance. The UI never lets you mistake speculation for fact.
Commons-Based Intelligence
One user's research benefits everyone. Individual contributions are anonymous; collective knowledge is shared.
Multi-Signal Scoring
No single source trusted alone. Confidence increases with source diversity, not volume.
Absence Taxonomy
Missing data isn't a black box. Every gap is classified: undiscovered, private, nonexistent, or expired.
Entity Resolution
The same person across CRM, news, and SEC filings — resolved with quantified confidence.