Clay Raises $115M at $7.1B to Build What It Calls 'The AI Growth Engine' — 80% of Forbes AI50 Are Already Customers

Clay closed a $115 million Series D at a $7.1 billion valuation this week, led by Wellington with Sequoia, a16z, CapitalG, and Meritech among the participants, on the back of 4x revenue growth in 2025 and a customer base that now tops 17,000 — including, Clay says, 80% of the Forbes AI50 and enterprise names like Anthropic, Stripe, Visa, and Siemens. The company has moved well past its origin as a prospecting tool: it now frames itself as “the infrastructure for growth,” a self-learning engine that unifies internal data — CRM records, product usage, call transcripts — with external signals like funding events and job changes, then deploys AI agents to identify ideal customers, monitor intent, and trigger outreach. CEO Kareem Amin’s framing is blunt: the platform “predicts the next best action for your business and then helps you take it.”

That’s not an isolated bet. Mistral raised €3 billion the day before at a €21 billion-plus valuation to build a “sovereign AI layer,” and Demandbase has been making the inverse argument in the same news cycle — that general-purpose models like Claude and ChatGPT are strong reasoners but lack the specialized B2B context to make reliable revenue calls on their own, positioning its own purpose-built GTM layer (and an MCP bridge into general models) as the necessary complement rather than a competitor to them.

Read together, the two arguments aren’t actually in conflict: Clay’s money is a bet that orchestration and signal-fusion is the layer worth owning, while Demandbase’s is a bet that domain-specific modeling underneath the orchestration is what makes it trustworthy. Both bets assume the same thing — that the GTM stack is being rebuilt around AI agents as the default layer, not an add-on module — and a $7.1 billion valuation on 17,000 customers is a real market signal that the rebuild is already priced in, not speculative.