For GTM and sales teams building prospect lists, CUFinder is a company and contact enrichment API that appends data to accounts and leads for outbound and CRM workflows.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
CUFinder positions itself as a signals-driven data platform for GTM teams — an enrichment and prospecting API that appends firmographic and contact data to accounts and leads, built around tracking buying signals like funding events, hiring surges, and leadership changes rather than just static contact records. Its footprint in the broader conversation is quieter so far: coverage of the product centers on its own site and documentation rather than a visible trail of independent practitioner discussion. Positioning leans toward the applied, GTM-motion side of enrichment: prospecting and signal-based targeting for outbound and CRM workflows, more than the developer-infrastructure register some enrichment vendors are chasing.
The Swarm
Enrow
AroundDeal
HG Insights
Store LeadsGoogle, Amazon, Adobe, Visa, HubSpot, Quora
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Business Profile
CUFinder launched in 2019 with a name-to-domain lookup service, then built out its enrichment and prospecting engines year over year through 2023 into its current three-engine platform. It's run by co-founders Mohamad Barakchian (CEO) and Dr. Mohamad Razavi (CTO), alongside Ensieh Arbabi (COO) and Asieh Arbabi (CFO), with a team of roughly 30 people. The company counts more than 5,000 customer organizations and carries a 4.8-out-of-5 rating across 500-plus G2 reviews, with multiple G2 recognitions for usability. It emphasizes continuous, customer-driven iteration over its history rather than a single flagship launch.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
CUFinder ships its enrichment and prospecting data through 50-plus REST endpoints, a Google Sheets add-on, CRM sync, and a dedicated MCP server that exposes its buying-signal and contact data directly to AI agents. That MCP layer sits alongside the existing API and SDK, extending an already API-first data platform into agent-callable form rather than replacing the programmatic surface it already had.
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