Four Verified Edge Types. Every One Sourced.
Most graphs guess at who knows whom.
Meerkat builds every edge from licensed data and resolves it into one trusted record per person.
Only relationships real enough to act on.
Career
From professional and education data
- Who worked together, and for how long
- Shared employers, teams, and tenure
- Alumni and classmate overlaps
Board
From professional and education data
- Shared board and advisory seats
- Co-investors and committee ties
- The high-trust relationships that open doors
Neighbor
From property data
- Verified neighbors resolved from property records
- Grounded in real, confirmed addresses
- Local ties that cold data never sees
Household
From property data
- The people who share a home
- Resolved from property and contact data
- Family and household relationships
Contact Data Tells You Who.
The Graph Tells You Who Can Reach Them.
Contact databases give you a record. Enrichment tools fill in a job title. Relationship tools map your own inbox alone. Meerkat unifies the relationships across your whole team into one graph, then ranks the warmest path to any person, so your AI agents and your team always know who can open the door.
An introduction lands differently when it comes through someone the other person already trusts. Meerkat finds that person, and the verified path to them, every time.
That's not contact data. That's the warmest path made visible.
Four Layers. One Relationship Graph.
Meerkat OS turns scattered relationships into warm paths through four layers that build on each other: licensed data, the relationships graph, ranking signals, and connectivity to every AI surface.
LAYER 1: DATA LAYER
Licensed Data
The foundation. Licensed professional, education, and property data, resolved against contact records into one trusted record per person.
LAYER 2: RELATIONSHIP GRAPH
Who Knows Whom
The map. Four verified edge types connect every person: career, board, neighbor, and household. The graph of who actually knows whom.
LAYER 3: SIGNALS
Ranking, Recency, Confidence
The instinct. Every path is scored by source, recency, confidence, and context, so the strongest route to a person surfaces first.
LAYER 4: CONNECTIVITY LAYER
MCP and API Connectivity
The connection. Call the graph from every AI surface through one MCP and API layer. Claude, ChatGPT, the CRM, or your team.
And it compounds. Every intro and every reply teaches the graph which paths convert, so each answer is sharper than the last.
Your App Queries the Graph.
The Warmest Path Comes Back.
Build in any stack and ask the graph one question: who is the warmest path to this person?
Simple API Integration
Clean REST and MCP endpoints. From zero to warm paths in minutes, not months.
Real-Time Paths
As relationships and signals change, the warmest path to any person updates with them.
Ranked by Confidence
Every path comes scored by source, recency, and confidence, so you act on the strongest route first.
Who can open the door, answered by Meerkat OS.
Give your AI the relationship context to act, not just answer. Ask for anyone, and Meerkat OS returns the reachable targets and the verified path to reach each one.
Ready to unlock relationship intelligence?
Whether you want API access to the graph, a warm-path analysis for your team, or to build on the relationship layer, the conversation starts the same way.
Let's Connect
Tell us what you need: API access to the graph, a warm-path analysis, or to build on the relationship layer. We'll follow up.