Clay

Clay is a GTM data platform built around the idea that enrichment should cascade, not require babysitting. The core workflow: pull a list of target companies or contacts, run them through a waterfall of data providers — the platform sources from 150+ in its marketplace — and push the enriched records directly into your CRM, ad platforms, or sequencing tool. Claygents, Clay’s AI research agents, handle the open-ended lookup tasks that structured data providers cannot: synthesizing company context, surfacing signals like job changes and promotions, and filling fields that no single vendor covers cleanly.

The differentiating feature is the waterfall enrichment model. Instead of picking one data provider and accepting its coverage gaps, Clay queries providers in a priority order you define, stops when a field is filled, and charges only for successful lookups. The vendor positions this as the highest-quality coverage available from a single interface — and it is the reason teams running CRM enrichment or TAM sourcing land here instead of building their own multi-provider scripts.

Sculptor extends the platform toward ops teams without engineering bandwidth: it accepts natural-language instructions and generates GTM workflows, which means a marketing ops manager can build an inbound enrichment flow without writing a line of code. The Audiences feature — described as a recent addition — syncs first- and third-party GTM data into LinkedIn, Meta, and Google ad audiences, tying enrichment directly to paid media targeting. Where this breaks: teams needing deep conditional branching across many workflow steps find the visual model reaches its limit before the use case does. And because there is no self-hosted option, any organization with strict data residency or on-prem requirements will hit a compliance wall before they finish the trial.