Meerket provides a relationship intelligence layer for AI agents, aggregating data from CRMs, inboxes, and team networks into a unified relationship graph. By exposing the warmest connection paths, it enables AI tools like Claude and ChatGPT, as well as internal teams, to identify the most trusted contacts for outreach, supporting use cases such as fundraising prospecting and product personalization.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations store contact and interaction data in separate systems—CRMs, email inboxes, and personal networks—making it difficult to see or rank the relationships that could enable warm introductions. AI agents can generate messages at scale but lack the contextual knowledge of who trusts whom, leading to ineffective cold outreach.
Solution
Meerkat OS aggregates CRM records, email threads, and team connections into a single, continuously refreshed relationship graph. It enriches each person with 50‑200 verified edges across four relationship types—career, board, neighbor, and household—sourced from licensed professional, education, and property data. A proprietary warmth‑scoring algorithm evaluates every possible path and surfaces the highest‑confidence introduction. The graph is exposed via a real‑time API and 25+ native, no‑code connectors, allowing AI agents such as Claude or ChatGPT, as well as existing CRMs and sales tools, to retrieve the optimal connection before any outreach. The platform supports fundraising, wealth management, enterprise sales, and product integration use cases, turning cold emails into trusted introductions that improve conversion rates. Dedicated apps (Teammate AI, Prospect AI, Enrich AI) provide ready‑to‑use interfaces for path discovery, contact enrichment, and meeting‑time relationship awareness.
Target Audience
Primary users are wealth managers, fundraisers, enterprise sales teams, and product developers who rely on relationship‑driven outcomes and need actionable introductions within their existing workflows.
Features
- Unified relationship graph that merges CRM data, email threads, and internal team networks into one trusted record per person.
- Warmth‑scoring engine that ranks every possible connection path using verified career, board, neighbor, and household edges.
- Coverage of 500 million profiles, each enriched with 50‑200 verified relationship edges and up‑to‑date email and phone contacts.
- Real‑time API and 25+ no‑code integrations enabling AI agents (Claude, ChatGPT) and existing sales/marketing tools to query warm paths instantly.
- Dedicated SaaS apps (Teammate AI for live meeting context, Prospect AI for path discovery, Enrich AI for bulk contact enrichment) built on the same graph.
- Continuous data refresh pipeline that resolves duplicate records and maintains edge accuracy across the graph.