Is Relevance AI or Clay better?

It depends on the job, and you don’t have to choose only one. Clay is the stronger data workspace for GTM: list building, waterfall enrichment, and outbound. Relevance AI is the platform for running an AI workforce across every team. The two also work together: keep enriching in Clay if you prefer, and let Relevance agents pick up that data and do the work around it.

Can I move from Clay to Relevance AI?

Yes. You can keep Clay for the GTM enrichment it is strong at and add Relevance AI for the agent work that lives outside a table. Our team helps you port the workflows worth turning into agents and connect the same tools and data.

Does Relevance AI enrich data like Clay does?

Relevance agents enrich records too, and go further: they confirm the right entity, weigh the signals into a decision, and skip or escalate when they are unsure. For pure GTM waterfall enrichment across data vendors, Clay goes deeper.

Is Relevance AI only for sales teams?

No. Clay is built around go-to-market data. Relevance AI runs specialist agents for support, operations, finance, and HR as well as sales, each managed by the team that owns the work.

Can non-technical teams build agents in Relevance AI?

Yes. Business users build and manage agents without an engineer, the same way Clay lets GTM teams build in tables. Relevance adds production evals, approvals, and governance so quality holds as you scale.

Relevance AI vs Clay

Clay builds and enriches your GTM lists. Relevance AI runs agents that act on that data end to end, and staffs every team beyond GTM.

Agents@Work

Agents@Work

Case study

Agents@Work

Case study

Case study

Which platform fits your team

Both are good tools. The right one depends on the shape of your work.

Clay

A go-to-market data workspace: build tables, enrich them from 150+ providers, and run outbound at scale.

Your work lives in GTM tables: list building, enrichment, and outbound campaigns.
You want waterfall enrichment across 100+ data providers.
Your revenue team needs a data workspace more than an agent workforce.

Relevance AI

An AI workforce platform: run specialist agents across every team, from GTM to support, ops, and finance.

Your work spans every team, not just go-to-market.
You want agents that do the work end to end, not just enrich the data behind it.
You need an agent workforce more than a data workspace.

Where Relevance AI is different

96% passing

Regression caught before it shipped

Coordinator

ResearchScored

DraftRouted

Every team, not just GTM

Outside GTM, Clay’s agents can’t help. Relevance staffs every team.

Measure and optimize agent ROI

After launch, Clay shows where agents run and what they cost, but not whether their output stays right. Relevance tracks every live run, so you can prove and improve agent quality and ROI.

Agents in parallel, not table workflows

Clay now chains multi-step table workflows. Relevance orchestrates work with agents nested and running in parallel, beyond any single table.

Enrichment takes judgment, not just a waterfall

The same inbound lead Clay would enrich, taken further: the agent confirms which company it really is, weighs the signals into an intent call, and routes it without opening a duplicate.

New inbound · Alex Rivera, Northwind

Inbound Qualifier

New demo request from Alex at Northwind. Enriching the account before it hits a rep, and deciding whether it earns the fast lane.

Reading the signup: work email, role, message2s

Matching the company from the email domain4s

Two companies go by Northwind. The domain and the careers page point to the B2B logistics one, not the games studio. Using that.

Pulling funding, headcount & tech stack5s

Series B in March, headcount up 38% this year, and they already run a competing tool. Real fit with real intent.

Checking the CRM for an existing account2s

There is already an open opportunity here, owned by Dana. Not creating a duplicate lead on top of it.

Routing to the account owner with the context1s

Northwind is enriched, and I confirmed the right one: the B2B logistics company, not the games studio that shares its name. They raised a Series B, grew headcount 38%, and already run a competitor, so I scored intent High. It maps to Dana’s open opportunity, so I routed it there rather than opening a duplicate, with the hook to lead with.

How the platforms compare

Both let business users build agents. The difference is scope: Clay agents live inside GTM tables, Relevance AI runs an AI workforce across every team.

Clay

Who manages agents day-to-day?

Your ops and revenue teams — the people closest to the work. We have dashboards and tooling designed specifically for agent management.

GTM and RevOps teams — the business users closest to the work manage agents day-to-day, not engineers.

Who manages agents day-to-day?

Your ops and revenue teams — the people closest to the work. We have dashboards and tooling designed specifically for agent management.

GTM and RevOps teams — the business users closest to the work manage agents day-to-day, not engineers.

Who owns agent quality?

Domain experts, with pre-deployment scenarios, production checks, and monitoring they can manage themselves.

Builders, via Claygent Builder: test cases, live reasoning, and version comparison before deploy. Strong pre-deployment iteration, with deployment visibility and credit-spend alerts, but no ongoing production quality evals or run-level monitoring.

Who owns agent quality?

Domain experts, with pre-deployment scenarios, production checks, and monitoring they can manage themselves.

How do agents receive tasks?

Native triggers for CRMs, email, calendar, and more. Plus webhooks, cron, and the ability to build custom triggers in platform.

Webhooks, scheduled columns and sources, auto-run on row changes, plus CRM sync and Zapier/Make — a genuine strength, but scoped to GTM tables.

How do agents receive tasks?

Native triggers for CRMs, email, calendar, and more. Plus webhooks, cron, and the ability to build custom triggers in platform.

Webhooks, scheduled columns and sources, auto-run on row changes, plus CRM sync and Zapier/Make — a genuine strength, but scoped to GTM tables.

What can my agents access?

1,000+ native connectors plus MCP support and the ability to build custom connectors.

150+ data providers with waterfall enrichment and live Claygent web research, now exposed over MCP as well, but the connectors stay GTM and sales-centric.

What can my agents access?

1,000+ native connectors plus MCP support and the ability to build custom connectors.

150+ data providers with waterfall enrichment and live Claygent web research, now exposed over MCP as well, but the connectors stay GTM and sales-centric.

How much can I tune performance?

Full orchestration with parallel streams, deep nesting, evals, and production monitoring — all GA.

Clay AI Agents run multi-step Workflows and Functions inside the GTM table paradigm, but there is no nested multi-agent orchestration or parallel agent streams.

How much can I tune performance?

Full orchestration with parallel streams, deep nesting, evals, and production monitoring — all GA.

Clay AI Agents run multi-step Workflows and Functions inside the GTM table paradigm, but there is no nested multi-agent orchestration or parallel agent streams.

How much can I control cost?

Full. Route to any model provider and optimize cost per agent, per task.

Route Claygent to any frontier model or cheaper tuned models, with transparent token pricing and bring-your-own-key on Enterprise.

How much can I control cost?

Full. Route to any model provider and optimize cost per agent, per task.

Route Claygent to any frontier model or cheaper tuned models, with transparent token pricing and bring-your-own-key on Enterprise.

How do I govern this?

Single pane for access control, permissions, and data security. Lots of control over approvals & escalations.

SOC 2 Type 2, GDPR, and ISO 27001, with SSO and role-based permissions on Enterprise — plus a headless mode that stores no data in Clay.

How do I govern this?

Single pane for access control, permissions, and data security. Lots of control over approvals & escalations.

SOC 2 Type 2, GDPR, and ISO 27001, with SSO and role-based permissions on Enterprise — plus a headless mode that stores no data in Clay.

Switching is easy

You don’t have to rip anything out. Keep Clay for the GTM data it’s great at, and let our team stand up your first Relevance agents in weeks.

Step 1

Connect Clay to Relevance

Link the tools and data you already use, Clay included, so Relevance runs alongside your current stack from day one.

Step 1

Connect Clay to Relevance

Link the tools and data you already use, Clay included, so Relevance runs alongside your current stack from day one.

Step 2

Move your first workflows over

We turn your highest-impact workflows into agents, proven against your quality bar, while Clay keeps doing what it does best.

Step 2

Move your first workflows over

We turn your highest-impact workflows into agents, proven against your quality bar, while Clay keeps doing what it does best.

Step 3

Expand beyond enrichment

With your first agents live, staff the rest of your teams, from support to operations and finance.

Step 3

Expand beyond enrichment

With your first agents live, staff the rest of your teams, from support to operations and finance.

Built for enterprise teams

Run agents on your real data with the access controls, audit trails, and residency guarantees enterprises require all built in.

SOC 2

GDPR

Security & data privacy

Data residency
PII masking
Audit logs
No training on your data

Access & controls

Role-based access control
SSO / SAML
Human-in-the-loop approvals
Version control

Monitoring & oversight

Real-time monitoring
Full agent tracing
Cost visibility
OTEL & Delta Share export

"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."

Levi Watters

Partner, KPMG Australia

"The key for us was how we can modularize industry knowledge and the best playbooks, and apply it."

Allen Roh

Senior Marketing Manager, Autodesk

"We're looking for every place where AI can allow sellers and customer success reps to be more engaged with customers."

Rob Giglio

Chief Customer Officer, Canva

"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."

Levi Watters

Partner, KPMG Australia