Clay announced a $115 million Series D on September 9 for software that helps sales and marketing teams find potential customers, research their businesses and organize outreach. The New York company's ambition is to connect those steps so employees spend less time moving incomplete information between prospecting tools.
A simple example begins with a person's name and company domain. Clay's waterfall enrichment searches a sequence of data providers until it finds a valid match, such as a work email. A team can use the same approach for information about a company's technology or hiring. Enrichment here means filling gaps in a business record, not generating a plausible answer when the information is missing.
Clay then connects that research to action. Its product supports company and job-change signals, research with its Claygent AI tool, email sequencing and connections to customer-management systems. A salesperson can build a campaign around a change in a prospect's business rather than work from a static exported list. The workflow still depends on choosing useful signals and checking that the proposed outreach fits the recipient.
The business sells software plans with separate allowances for platform work and purchased data. Actions measure tasks such as running an enrichment or sending information to another system; Data Credits pay for information and AI services bought through Clay's marketplace. That distinction matters for customers scaling a campaign: the size of the contact list is only part of what determines usage.
Wellington led the financing at a $7.1 billion valuation, with investors including Sequoia, StepStone, a16z Perennial, Meritech, DST and CapitalG participating. Clay says more than 17,000 customers use its products. AlleyWatch also reported the Series D. The company's announcement frames the next phase around agents that learn from business context and campaign outcomes, an ambition that goes beyond simply adding another data source.
The operating question is whether those connected workflows produce better decisions about whom to contact and why. More automated research can remove repetitive work, but producing more messages is not itself a better sales process. Clay's opportunity is to make changing customer information useful at the moment a team has to decide its next action.