The world's most alive relationship graph
Others count records, or theoretical pairs. We count real relationships. Every one is mapped, scored, and kept current at the record level.
relationships in the graph
How we map your network
From raw contacts to a searchable network.
Your scattered contacts become one clean, enriched, scored and searchable graph. It happens automatically, for your whole team.
Sync your relationships
Your contacts sync continuously from LinkedIn, Google, Outlook & more. It runs automatically, and it keeps running long after the first import.
network
Resolve emails to real people
Every email becomes a verified public profile with a name, role, company and photo.
Discover hidden connections
We map relationships LinkedIn never shows: who worked together (even years ago at a 10-person startup), shared investors, alumni. Then we expand every contact's network from public data.
Score & pool your full team's network
Every teammate's network is pooled into one shared, de-duped graph. Every connection is scored, so you instantly see who can make the warmest intro.
Cache, index & enrich
Every person is matched to our 775M enriched profiles, with full work history, education & company data, then cached and indexed for instant search.
Search in plain English
Ask for anyone across a quarterly-refreshed, on-demand-updated database of 775M+ profiles & 52M+ companies. We surface the warm path to them.
The scale
A map of the professional world, measured
We don't count theoretical pairs. Every record below is a real, enriched data point feeding the graph.
Work-history records
Every role, mapped
estimated360M updated in 90dProfessional profiles
People in the graph
estimated700M updated in 90dEducation records
Schools & degrees
estimated400M updated in 90dCompanies
Organizations tracked
estimatednewest 2 days ago1.27B nodes in the graph
The moat
A real graph, not a phone book
5.01B computed relationships across 960M people. Every edge is a real connection we can traverse to find a warm path.
Shortest warm path
Person A → Target, traversed live across the graph
Person A
via starting point
2nd degree
via former co-worker
3rd degree
via shared alma mater
Target
via warm intro available
- Co-worker613M34%
- Role569M31%
- Alumni490M27%
- Direct140M8%
Degrees of separation
- 1stDirect connections
- 2ndFriends of friends
- 3rdThree hops out
Most warm intros resolve within three hops. The graph almost always finds a path.
Direct who-knows-who relationships are a total across the whole graph. That comes to 140M mapped connections.
Data recency
Records that don't go stale
Anyone can sell a snapshot. Village keeps the underlying records current, and shows you exactly how recently each one was last updated.
12 days ago
Records update continuously instead of arriving in a quarterly dump.
Network paths recomputed today
Recomputed this week
0M
Warm-intro paths mapped across the graph
Newest record updates
- Newest profile update12 days ago
- Newest company update2 days ago
- Newest education update5 days ago
- Newest domain verified2 days ago
Profiles updated (90d)
estimatedEducation updated (90d)
estimatedWork records updated (90d)
estimated100% of records carry a timestamp. You always know how recently your data was updated.
0
records updated today
enrichment log· illustrative
Hashes illustrate the pipeline. They are not a live stream of personal data.
Record recency
- Profiles835M12 days ago700Mest.
- Work history1.4B2 months ago360Mest.
- Education569M5 days ago400Mest.
- Companies54.6M2 days agon/a
Every record carries an updated_at: 100% timestamped, so "newest update" reflects the real last write to each record.
Coverage & integrity
What we keep, we keep clean
Village maps professional relationships from publicly available career data. We model the structure of the professional world, we stay out of individuals' private lives, and we verify every field.
AI verification loop
Cleaned, then checked again
0K
Domains AI-verified
98.3%
Avg. confidence
86%
Approved on review
Fewer than 1% of records come back uncertain. The rest pass a model-graded confidence check before they ever reach the graph.
Continuously re-verifiedCorroborating one relationship
Shared employer
Overlapping tenure at the same company
Overlapping school
Same institution, overlapping years
Mutual connections
Multiple shared first-degree links
Profile completeness
Records detail
Company records
0
Standardized industries
Covering 77.9% of companies
Funding figures reconcile across our relational store and our graph. The same numbers, cross-checked in two places.
Global reach
A graph that spans the whole world
We map professionals across every major economy, and we keep those records current.
0+
Countries represented
The graph reaches every continent and every major economy.
Every major economy represented700M+ profiles, and hundreds of millions of records, updated in the last 90 days. Your data stays current.
Staging preview · stats refresh daily.
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Build on the graph
Tap into 4.77 billion verified relationships through the app or the API. Ship relationship intelligence in days, not years.