Clay

Access 150+ premium data sources and AI research agents in one platform, then automate growth workflows to turn insights into revenue.

Employees

201-500

Location

New York, NY

Funding

Series B ($100M)

G2 Rating

4.7/5

Pricing

Public pricing page

AI Classification

MarTechMarTech Vendor

Clay is a GTM data enrichment and workflow automation platform that aggregates 150+ premium data sources, AI research agents, and intent signals into a single subscription, enabling sales and marketing teams to enrich leads, automate outbound campaigns, and maintain CRM accuracy at scale. They serve over 300,000 GTM teams ranging from startups to enterprises such as Anthropic, OpenAI, and Rippling.

Deep Intelligence

Buying Signals

Raised $100M Series C at a $3.1B valuation; subsequent employee tender offer at a $5B valuation signals rapid enterprise value appreciation and available capital for further growth investment.
Named the only GTM company on Forbes' 2025 AI 50 List and ranked #1 mid-stage company on the ENT30 list, indicating strong market recognition and inbound pipeline acceleration.
Hired a dedicated Head of Europe Sales (Ellen), signaling active geographic expansion into EMEA markets.
Hosted inaugural AI Hackathon with Google in San Francisco, unlocking integrations across YouTube Ads, Google Cloud, and CapitalG — indicating deepening enterprise partnership and platform extensibility investments.
Grew to 300,000+ GTM customers and a 40K+ community, reflecting a strong product-led growth flywheel generating organic adoption at scale.

Account Scoring

Tier ALow Churn RiskRecently Funded

Pain Signals

With ~100 employees serving 300,000+ customers, Clay's support-to-customer ratio is extremely thin, suggesting potential strain on onboarding, enterprise customer success, and technical support scalability.
No pricing page was captured in the scraped content, and enterprise plans are described as requiring a demo — indicating complex, opaque pricing that may create friction in the self-serve buyer journey.
Two out of five scraped pages failed, pointing to possible gaps in public documentation, help content, or SEO-optimized product detail pages that could limit inbound discoverability.