GTM infrastructure that enriches data, runs AI research agents, and automates outbound at scale

Clay

Clay Introduction

Clay is a go-to-market (GTM) data and automation platform built for RevOps, sales, and marketing teams that need to enrich account and contact data, run AI-driven research workflows, and launch outbound or inbound plays without stitching together dozens of point tools. It centralizes access to a large marketplace of data providers, intent signals, and AI agents inside a single workflow builder, letting GTM engineers and revenue teams build systems rather than run one-off campaigns. The product is aimed at companies that need trustworthy, high-fill-rate data on accounts and contacts to drive territory planning, lead scoring, and personalized outreach. Clay positions itself less as a single-purpose enrichment tool and more as infrastructure for building repeatable revenue systems.

What it does

Clay is a web-based platform that lets sales, marketing, and operations teams pull in data from 150+ external providers, layer on AI research agents ("Claygents"), and route the enriched output into CRMs, sequencers, or ad platforms. Instead of manually researching accounts or relying on a single data vendor, users build spreadsheet-style workflows where each row is an account or contact and each column can call a data source, run an AI agent, or trigger an action such as sending a message or updating a CRM field. Common use cases described on the site include CRM enrichment, TAM (total addressable market) sourcing, territory planning, account scoring, automated inbound and outbound, ABM, and reverse ETL into downstream tools. It is built for teams who currently rely on manual research or fragmented point solutions and want a single system to source, enrich, score, and act on GTM data.

Key capabilities

  • Data marketplace with waterfall enrichment: Access to 150+ data providers in one workflow, with the ability to waterfall between sources to maximize match and fill rates rather than depending on a single vendor.
  • AI research agents (Claygents): Custom AI agents can perform open-ended web research to fill data gaps that standard providers miss, mimicking what a human rep would look up manually.
  • Account and territory workflows: Purpose-built support for territory planning and account scoring, including bulk exclusions, lookalike search (e.g., via Ocean.io), and rules-based segmentation for assigning territory owners.
  • CRM and system integration: CRM lookups and reverse ETL capabilities let enriched data map back into existing accounts and sync into downstream systems without manual matching or deduplication.
  • Signals and intent tracking: Always-on monitoring of buying signals and engagement data to flag accounts in real time as they move through a pipeline or territory.
  • Automated inbound/outbound sequencing: Built-in sequencer and workflow automation to turn enriched, scored data directly into outbound campaigns or automated inbound routing.

Pricing

Clay uses a freemium pricing model with a free plan available and paid plans that unlock higher usage and additional data/agent capacity. The pricing page states plans are flexible and scale with usage, though specific plan names, credit limits, and tiered dollar amounts are not confirmed in the available source content. Enterprise-grade security and scale are mentioned as part of the offering for larger organizations. Pricing page: View pricing

Editorial review

Clay's strength is consolidation: rather than paying for and switching between a dozen enrichment, intent, and outreach tools, teams can route all of that logic through one workflow layer. The waterfall model across 150+ providers and the addition of AI research agents for gaps is a genuine differentiator versus single-source enrichment tools, and the territory-planning and account-scoring use cases suggest real depth for RevOps-specific workflows, not just basic list building. The spreadsheet-style workflow builder likely has a learning curve; teams without dedicated RevOps or "GTM engineer" resources may find the flexibility harder to configure than a simpler, narrower point tool. Pricing transparency is also limited in the public source material — while a free tier exists, exact usage limits and paid tier costs need to be checked directly on the pricing page rather than assumed. Clay appears best suited for mid-market to enterprise revenue teams with the technical capacity to build and maintain enrichment/scoring workflows, rather than solo users or very small teams looking for a plug-and-play outbound tool. Companies already using multiple disconnected data vendors or manual account research processes are the clearest fit.

More about Clay

Pricing
Freemium
Platforms
Web
Listed
Sep 29, 2026
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