Clay
B2B GTM orchestration software for data, enrichment and automation.
Available information varies by company and source.
Profile record updated:
Company facts
- Official name
- Clay Labs Inc
- Entity type
- COMPANY
- Founded
- 2017
- Headquarters
- 119 N 11th Street, 3C, Brooklyn, NY 11249, United States
- Company size
- 201–500
- Market role
- MarTech Vendor
- Official website
- clay.com
What Clay does
Clay operates a B2B SaaS model centred on a unified GTM operations platform. It creates value by aggregating workflows that would otherwise sit across separate prospecting databases, enrichment tools, sequencing systems, CDP-style audience layers and ad activation connectors. The platform becomes a control layer for building audiences, enriching records, detecting signals, automating outreach and synchronising segments into downstream execution tools. Revenue is generated from recurring subscriptions and incremental usage tied to data consumption and workflow execution.
Category differentiation
This Clay is a B2B GTM orchestration software company, not a creative tool, design app or consumer productivity product. It competes more closely with sales intelligence and GTM workflow platforms than with general-purpose CRM systems.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
Clay is a B2B software company that provides a go-to-market orchestration platform for sales, marketing and revenue operations teams. Its platform combines data enrichment, audience building, signal detection, workflow automation, sequencing and audience activation into a single environment, while integrating with external data vendors, CRM systems and advertising platforms. The company is sold to business teams rather than consumers, and its value proposition is to reduce fragmented tooling and manual work across prospecting, segmentation, outreach and paid activation. Clay makes money through a hybrid software and consumption model. Customers pay subscription fees for platform access and then consume bundled or additional usage units for workflow actions and third-party data credits. This allows Clay to monetise both software adoption and intensity of usage, especially where customers run large enrichment workloads, automate outbound sequences or activate audiences across ad and CRM platforms.
Company news briefing
Briefing updated:
Clay continues to scale following its $115M Series D round at a $7.1B valuation, expanding its ecosystem presence through an integration with Vibe's streaming TV ad platform and the introduction of MCP tools and open-weight models in Claygent. CEO Kareem Amin has highlighted the rapid rise of the 'GTM engineer' discipline as ARR tripled to $100 million, while competitors such as OpenAI increasingly focus on vertical knowledge-worker approaches.
Business model & monetisation
Clay uses tiered SaaS subscriptions combined with usage-based pricing. Customers choose plans ranging from free and standard paid tiers to enterprise agreements, and each tier includes quotas of Data Credits and Actions. Data Credits are consumed when purchasing or enriching data from integrated providers, while Actions are consumed when running workflow steps such as enrichment, orchestration, API calls and audience syncing. Additional usage can be purchased separately, so monetisation scales with both seat adoption and platform workload intensity.
- Platform subscriptions
- Tiered SaaS access plans
- Action consumption
- Usage-based charges for orchestration work
- Data credits
- Usage-based charges for enrichment and purchased data
- Enterprise contracts
- Custom pricing with advanced access and higher quotas
Products & capabilities
No products with linked sources are available in this view.
Products & market categories
Competitors & alternatives
- Klaviyo
Customer data and marketing automation software for ecommerce brands.
- Braze
Customer engagement software for real-time cross-channel personalisation.
- Apollo.io
B2B sales intelligence and engagement platform for go-to-market teams.
Side-by-side comparisons
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
Clay's Kareem Amin Discusses Rise of GTM Engineer
GTM Engineering · Recorded impact score: 2/5
Clay co-founder and CEO Kareem Amin will speak at TechCrunch Disrupt 2026 about the emergence of the 'GTM engineer' role. This new discipline uses AI, data, and automation to build repeatable revenue systems, replacing manual go-to-market processes. Clay coined the role in 2023 and reports about 100 GTM engineering job listings each month. The company has seen rapid growth, with ARR tripling to $100 million in a year, a $115 million Series D round at a $7.1 billion valuation, and a $1 million scholarship fund to train GTM engineers. Amin's session will explore how AI is transforming go-to-market strategies and what this means for company growth.
- Clay coined the GTM engineer role in 2023.
- Approximately 100 GTM engineering job listings appear each month.
AI Deployment Insights at TechCrunch Disrupt 2026
AI Deployment · Recorded impact score: 2/5
At TechCrunch Disrupt 2026, leaders from Anthropic, Gamma, and Clay will discuss what happens when enterprises actually deploy AI. Anthropic's Head of Applied AI, Cat de Jong, will share patterns from enterprise deployments of Claude, focusing on why some deployments succeed while others stall. Gamma's CEO Grant Lee will discuss how AI products gain adoption, referencing Gamma's near 100 million users and expansion into marketing assets. Clay's CEO Kareem Amin will bring the founder perspective on integrating AI into workflows, noting Clay's integration with Claude as a launch app. The session aims to explore the transition from AI pilots to production, the challenges of making AI a habitual tool, and what separates successful deployments from experiments. The event takes place October 13-15 at Moscone West, San Francisco.
- TechCrunch Disrupt 2026 will feature a session on enterprise AI deployment with leaders from Anthropic, Gamma, and Clay.
- Anthropic's Cat de Jong will discuss patterns in enterprise deployments of Claude.
OpenAI: AI-native firms turn workflows into operating capability
AI · Recorded impact score: 2/5
OpenAI's latest Enterprise Signals data shows enterprise AI shifting from assistance to execution, with top 10% 'frontier' AI-using firms now generating 8.3x more output tokens per active user than typical firms, up from 2.6x in January. The article profiles three startups applying AI agents to real workflows: Basis (AI agents for accounting firms) cut first-day onboarding from two hours to 30 minutes using OpenAI's Codex; Clay (a revenue engine for go-to-market teams) uses persistent workspaces and subagents to save about an hour of daily inbox triage; and Exa Labs (web search infrastructure for AI agents) automated its developer integration workflow with Codex. OpenAI outlines six steps for scaling these agentic workflows, including defining measurable outcomes, writing agent job descriptions, and building human oversight. The core message: leading firms are connecting agents to company context and tools to automate substantive work end-to-end.
- Frontier AI-using firms generate 8.3x more output tokens per active user than typical firms, up from 2.6x in January.
- Basis reduced first-day employee onboarding time from two hours to 30 minutes using OpenAI's Codex.
Don’t Price AI Applications Per Token
AI Application Pricing Strategy · Recorded impact score: 2/5
The a16z opinion piece argues that token-based pricing—appropriate for model providers—often misaligns incentives when carried into AI applications. Instead, vendors should price at the highest layer of measurable customer value: tokens for raw model access, credits that map to recognizable work for variable application tasks, and outcome-based pricing when business results are observable and attributable. Well-designed credit systems should abstract infrastructure complexity, explain relative effort, and preserve commercial flexibility. The article recommends hybrid approaches (seats, credits, and token pass-through for volatile model costs) and cites Clay’s 2026 pricing memo as an example of separating Data Credits from Actions and selectively passing through expensive model costs.
- OpenAI launched its API in 2020 and charging for model computation via tokens was a sensible initial metering approach.
- ChatGPT debuted in 2022 and sparked a wave of applications built on model infrastructure.
Intentsify and Clay Integrate Buyer Intent into GTM Workflows
Data Management Platforms · Recorded impact score: 2/5
Intentsify announced a partnership with Clay to make Intentsify’s Buyer Intelligence available inside Clay’s orchestration environment. The Clay x Intentsify Integration surfaces account- and buying-group-level intent signals, enabling GTM engineers, marketers, and sales teams to monitor accounts, enrich and segment in real time, source total addressable market (TAM), and find in-market professionals within Clay’s data marketplace and Signals product. Intentsify cites 1.1 trillion monthly intent signals across 4.2 million accounts and 33,000+ topics; Clay is described as used by more than 500,000 go-to-market teams. The announcement was published August 20, 2026 via Business Wire/MarTech Series.
- Intentsify announced the Clay x Intentsify Integration to bring buyer intent data into Clay.
- Intentsify reports 1.1 trillion monthly intent signals derived from 9 source types across 4.2 million in-market accounts and 33,000+ topics.
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Questions about Clay
What is Clay?
Clay is a B2B go-to-market orchestration platform that combines data enrichment, audience building, workflow automation, signals and activation tools in one SaaS product.
Who uses Clay?
It is used by sales, marketing, growth, revenue operations and GTM teams at B2B companies.
How does Clay make money?
Clay makes money through tiered software subscriptions and usage-based charges for workflow actions and data credits.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
18 publicly documented primary sources and citations linked across the market graph.
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