Clay, founded in 2017, treats outbound sales research as a spreadsheet problem: each row is a company or contact, and each column can pull in data from any of more than fifty external providers, Clearbit, Apollo, LinkedIn data, and dozens more, waterfalling from one source to the next until a field gets filled rather than leaving it blank when the first lookup misses.
AI writing sits on top of that enriched data, drafting personalized outreach messages that reference specific, real details about each lead rather than generic mail-merge fields, because the underlying data behind each message is genuinely researched rather than a name and company swapped into a template. That combination, deep enrichment plus AI personalization, is why go-to-market and sales teams reach for Clay specifically over general automation platforms.
Pricing reflects the cost of the enrichment data behind it, starting around $167 a month, well above general-purpose automation tools, with a limited free tier for testing smaller lists. For a sales or growth team that needs outbound research and personalization grounded in real enriched data at scale, Clay's data-waterfall approach solves a more specific problem than a workflow builder connecting generic apps together.
