From names to networks. Every contact in your CRM sits on a graph of 200+ warm paths — career, school, board, neighbor, household. The overview brief.
Download PDFEvery name in your CRM sits on top of a graph. Career changes, classmates, board seats, neighbors, household. For every contact, the graph surfaces over two hundred warm second-degree paths — the first relationship graph accessible by API, today.
The relationship graph is the new map of business. The teams that read it first will define the next decade.
What you get on day one
- 5 signal types per relationship, resolved at the person level
- 200+ warm second-degree paths per contact in your CRM
- 85M professional profiles in the graph, refreshed continuously
- 1 endpoint that plugs into every surface your team runs
The Math: one name, two hundred warm paths
Every contact in your CRM is the starting node of a much larger graph. Five signals resolve at the person level, and one name becomes a network. A single name is the starting node. Five edge types — career, education, board, neighbor, household — become 200+ ranked, queryable warm second-degree paths to a potential referral. Connect your contacts, and the graph surfaces warm paths you didn't know existed. Multiply by 100,000 records.
The Graph: five signals, one graph
Every meaningful relationship between any two people falls into one of five categories. We resolve all five at the person level, refresh them continuously, and serve them through a single endpoint.
- Career · worked together — Same employer, overlapping tenure. Job histories matched at the person level, resolved across name changes, role changes, and country moves.
- Education · same school — School, program, year, lab, advisor. The classmate, the MBA section, residencies and fellowships included.
- Board · same room — Boards of directors, advisory councils, foundation trusts, industry committees. The two execs on the same hospital board or museum trust.
- Neighbor · same block — Property records and verified residential history, resolved at the block, the building, the floor.
- Household · same address — Spouses, siblings, parents, children, domestic partners. The candidate whose spouse runs operations at your target.
- Path · any depth — The graph is queryable. Ask for the warm paths between any two nodes, across any combination of edge types, ranked by strength.
Use Cases: built for any team that competes on relationships
The same graph powers six categories of work.
- Sales & BD — Every account in your pipeline, backed by 200+ warm second-degree paths per contact.
- Executive search — Fifty years of placements becomes a continuous warm-path engine.
- Corporate strategy — Map any two companies as one graph. Every human relationship between them, named — including the ones nobody has seen.
- Capital & fundraising — LPs, GPs, founders, family offices. The same person across three boards, two cap tables, one foundation, seen at once.
- AI agents — Hand your agent the graph and the next question becomes who can introduce me, where, and on what basis.
- Compliance & risk — UBO, related-party transactions, conflicts of interest, resolved at the person level before the regulator gets there.
For Your Stack: one endpoint, every surface
Meerkat OS is not another dashboard. It is the relationship graph beneath the tools your team already uses, refreshing in place, traversable on demand.
| Before Meerkat OS | With Meerkat OS |
|---|---|
| Cold lists with a 1.2% reply rate | Warm paths with first-name openers |
| Pipeline is a flat database | Pipeline is a traversable graph |
| Relationships discovered manually, weeks of digging | Every warm path returned in milliseconds |
| Companies' real networks invisible | Every relationship between every two orgs, named |
| AI agents see one record at a time | AI agents see the graph |
Connectors live across CRM & Sales (Salesforce, HubSpot, Pipedrive, Microsoft Dynamics, Affinity, Outreach, Salesloft), ATS & Recruiting (Bullhorn, Greenhouse, Lever, Crelate, PCRecruiter, JobDiva, Vincere), Investment & Capital (Affinity, DealCloud, Carta, Visible, iLevel, Pitchbook), and AI Surfaces (Claude, ChatGPT, Gemini, Cursor, custom agents).
Get Started: a pilot on your own data
The fastest way to see what the graph does is to point it at the file you already know. Send us yours. We send back the graph that surrounds it.
- Send us your file. Contacts, accounts, placements, portfolio companies. Name and entity is enough. The format does not matter.
- We map the graph. Within days, the same file comes back with every warm path, every relationship, every connection between every contact you sent and the world they sit in.
- You see the lift. Cold becomes warm. Lists become graphs. Your team sees the relationships they never knew were already theirs.
- No multi-year contract. Pilot first, scale when the lift is clear.
- Your data stays yours. We enrich it. We do not resell it.
- API access for builders. Connectors for the major stacks.
- Built for sales teams of five and global enterprises alike.
Every name is a network. Now make it one.
Tell us about your file. We'll show you the relationships already in it. Let's Connect