Last updated:
Claygent wins for teams that want agentic research capability within a human-in-the-loop GTM stack; 11x wins for teams that have made an explicit strategic decision to replace SDR headcount with autonomous AI and accept the end-to-end failure risk that comes with full autonomy.
| Dimension | Clay | 11x |
|---|---|---|
| Pricing tier | $$$ | Enterprise |
| Entry price | $54/mo (Launch, 180K actions/yr, annual; $167/mo on monthly billing) · Growth from $185/mo — metered in Actions + data credits | ~$5,000/mo (estimated; pricing not publicly listed) |
| Funding stage | Series C | Series A |
| Total raised | $204M | $20M |
| Valuation | $3.1B (Aug 2025 round) · $5B Jan 2026 employee tender | $50M |
| Target segment | Seed → Series B AI-native GTM teams; RevOps engineers | Mid-market and enterprise sales organizations seeking to replace or augment SDR headcount with autonomous AI agents |
| Founded | 2017 | 2022 |
Choose Clay if…
– Your GTM stack is already built on Clay and you want to add agentic web research to your enrichment waterfall without a new vendor, new contract, or new interface to manage.
– You operate a human-in-the-loop outbound motion where a GTM engineer or RevOps operator reviews enrichment outputs before they flow into personalization and sending — Claygent’s modular architecture is purpose-built for this workflow.
– Your ICP requires custom research signals — recent funding, specific job posting language, competitor mentions, or technographic triggers — that standard data providers do not surface but a browsing agent can extract reliably.
– You have a tight budget and need agent capability without a $30,000+ annual contract — Claygent’s credit-based model scales with your actual usage.
Choose 11x if…
– Your organization has made an explicit board-level decision to reduce SDR headcount and needs a product that can demonstrate autonomous pipeline generation without daily human intervention — 11x’s full-stack AI SDR narrative is the only credible option for this use case.
– You have run a 90-day Claygent-enabled outbound motion and the bottleneck is human review throughput, not research quality — you need a platform that removes the human from the loop entirely, not one that makes the human more efficient.
– Your VP of Sales has a specific deliverable tied to AI-driven pipeline as a percentage of total pipeline and needs a vendor with an account executive, implementation team, and SLA to hold accountable — Clay’s self-serve model does not provide the vendor accountability layer that internal stakeholders require.
– You have validated 11x’s Alice quality on a pilot with your specific ICP and the reply rates are within 20% of your best human SDR — if the data supports it, the autonomy argument holds.