Clay Raises $115M for a Self-Learning Revenue Engine

Clay found the profession before the profession finished naming itself. Revenue teams had data providers, spreadsheets, CRM records, enrichment tools, and outbound systems, but the work of turning those pieces into a repeatable growth motion still lived between products and people. Clay is financing the next version of that operating layer.

The New York company announced a $115M Series D on September 9, 2026, at a $7.1B valuation. Wellington Management led the round, with participation from Sequoia Capital, StepStone Group, Andreessen Horowitz's Perennial Venture Fund, Meritech Capital, DST Global, CapitalG, BoxGroup, Boldstart Ventures, Bloomberg Beta, and Evolution Equity Partners.

The capital arrives as Clay expands beyond its original position as a flexible data-enrichment and prospecting workspace. Its larger ambition is to become a self-learning revenue engine: a system where company data, workflows, experiments, and outcomes improve the next growth decision instead of disappearing into separate tools.

From workflows to a system that remembers

Clay connects more than 150 data providers with research, enrichment, scoring, personalization, and campaign workflows. A go-to-market team can use those components to identify accounts, qualify them against a market thesis, find the right people, write relevant outreach, and send the resulting records into the systems where sellers already work.

The important shift is what happens after a workflow runs. Clay is building GTM agents that can carry out multi-step work while preserving the reasoning, data lineage, and outcomes behind each action. The company describes a future in which the system learns from replies, conversions, and closed business, then uses that evidence to improve the next account or message.

That creates a different product test from ordinary automation. A useful revenue agent cannot simply complete more tasks. It has to show where its information came from, let operators inspect why an action was taken, and keep new learning connected to the business process that produced it.

A category with an emerging profession

Clay has also become closely associated with GTM engineering, a role that combines data fluency, automation, experimentation, and commercial judgment. The profession emerged because traditional revenue operations and sales development teams were being asked to manage increasingly programmable systems without a clear owner for the work between strategy and execution.

Clay says its community now includes more than 50,000 people, while customers range from OpenAI and Canva to Uber and Google. The company reported passing $100M in annual recurring revenue in December 2025 and says it grew more than fourfold during 2025. It also reports more than 17,000 customers and adoption by 80% of the Forbes AI 50. Those operating figures are company-reported and have not been independently audited.

The company is investing in the ecosystem around the product as well as the product itself. Its new $1M GTM Engineering Scholarship is designed to help more operators learn the technical and commercial skills required to build these systems. The program matters because software alone does not create a new operating discipline; people need shared methods, examples, and career paths before a category becomes durable.

The capital behind Clay's expansion

Clay's Series D follows a $100M Series C announced in August 2025 at a $3.1B valuation. A separate $55M tender offer announced in January 2026 provided employee liquidity and should not be treated as new operating capital. The distinction matters when comparing Clay's financing history or calculating how much primary capital the company has raised.

Wellington's lead also broadens the investor base beyond the venture firms already backing the company. Clay's existing institutional supporters include Sequoia Capital and CapitalG, alongside the investors returning in this round. The $7.1B valuation is more than double the Series C mark, placing a meaningful expectation on Clay's ability to turn rapid adoption into an enduring platform.

That expectation is visible in the company's targets. Clay says it is on track to reach $200M in annual recurring revenue and has reported no enterprise churn with net revenue retention above 200%. These are management-reported performance indicators, not guarantees of future results, but they help explain why investors are underwriting the company as infrastructure rather than a single-purpose sales tool.

What the Series D is meant to build

Clay plans to use the financing to deepen its AI platform, expand the GTM agent product, grow internationally, and support the community forming around GTM engineering. The company is also continuing to develop a shared context layer that connects market signals, account research, customer history, workflow logic, and measured outcomes.

Founders Kareem Amin and Nicolae Rusan started Clay in 2017. Varun Anand joined as a cofounder in 2021, helping shape the commercial and operating system around the product. Amin remains chief executive, while Anand leads operations. Rusan is a historical cofounder and is no longer part of Clay's current operating leadership.

The round does not settle whether one platform can become the memory layer for every revenue team. It does make the wager clearer. Clay is betting that the next generation of go-to-market software will be judged by how well it connects decisions to outcomes, not by how many isolated tasks it can automate.

For teams that already use Clay as a research and enrichment canvas, that means the product is moving toward a more consequential position. For the broader market, the Series D is a signal that GTM engineering is becoming both a software category and a profession with its own tools, methods, and talent pipeline.

DevCuration previously profiled Clay's product and company development. The Series D now finances the next question: whether that flexible workspace can become a learning system for revenue itself.