Evergrowth vs Clay

Clay gives builders a kit.
Evergrowth gives reps agents.

RevOps trains the agents once for everyone, and each rep runs them from the record or by asking Eva.

Who orchestrates
Clay

GTM engineers orchestrate. Reps use what they package.

GTM engineers or RevOps build each play as a Function, agent or workflow

New plays and sequencer pushes wait for an Ops-built Function

GTM data and workflow platform for GTM engineers, with a chat layer for reps

Evergrowth

Ops builds and orchestrates. Every rep asks Eva.

Ops builds the training and orchestrates the agents
SlackChatGPT
Eva
TeamsEvergrowth
2-way sync with 6 CRMsSalesforceHubSpotDynamics+3: Pipedrive, Zoho and Attio

By default, any rep can ask Eva for a new play

Workspace of specialized digital colleagues, built for teams

The short answer

It comes down to who builds your plays

Choose Clay if

A GTM engineer builds your data workflows

You want 200+ data providers in 1 place, waterfalls across 150+ databases, and Functions your builders publish to reps' AI tools.

Choose Evergrowth if

Every rep should run research and plays themselves

RevOps trains ready-made agents once on your ICP, personas and value proposition, and reps launch them from the record or ask Eva in Slack, Teams or their AI tool.

Use both if

Clay already feeds your CRM

Keep your builders' Clay workflows. Evergrowth works on the same CRM records: findings go to EG fields, emails and phones to fields you map.

Honest assessment

Where Clay is strong, by its own account

Clay counts 17,000+ customers. Each card below comes from Clay's own pages, read 2 Oct 2026.

200+ data providers in 1 place

Waterfalls run across 150+ databases, and you pay only for the data that is found.

Clay website, read 2 Oct 2026

Builders work in plain language

Describe a play and Sculptor or the CLI turns it into a workflow builders can open, test on 1 record and adjust. Workflows is in open beta.

Clay blog, 11 Aug 2026

Reps search from their own AI tool

Clay MCP works in 6 AI tools, including Claude, ChatGPT, Copilot and Glean, within credit limits Ops sets per rep.

Clay blog, 14 Jul 2026

Always-on plays, run by Ops

Once Ops builds it, a play can start when a record joins an audience, on a schedule or from a webhook.

Clay blog, 11 Aug 2026
The difference

No build step between a rep and the agents

Clay describes its own team as a centralized build for decentralized use: builders package each play, reps call it. In Evergrowth, RevOps, GTM engineers or Marketing Ops set the agents up once, and every rep reaches them through Eva.

Clay

GTM engineers orchestrate. Reps use what they package.

GTM engineers or RevOps build each play as a Function, agent or workflow.

  1. GTM engineerBuilds the play as a Function
  2. Clay adminEnables it for MCP
  3. RepCalls it from an AI tool
    • Claude
    • ChatGPT
    • Copilot
    • +3 more: Glean, Claude Code and Codex

New plays and sequencer pushes wait for an Ops-built Function, and Ops controls CRM writes. Search and default lookups need no Function.

Evergrowth

Ops builds and orchestrates. Every rep asks Eva.

Ops builds the training and orchestrates the agents.

Who builds and orchestratesOrchestrates
  • RevOps
  • GTM engineer
  • Marketing Ops
Operates from
  • Workspace
  • Claude
  • ChatGPT
  • +3 more: Copilot, Codex and Claude Code
Agent Training CenterTrains
  • Value proposition
  • ICP verticals
  • Persona cards
Where every rep asks herAsks
In Evergrowth and team chat
  • Workspace
  • Slack
  • Teams
In AI tools, through MCP
  • ChatGPT
  • Copilot
  • Claude
  • +2 more: Codex and Claude Code
EvaEva runs the agents
Website Finder
Account Qualification
Account Research
Account Planning
Contact Finder
Contact Qualification
Contact Research
Email/Phone Finder
Play Copywriting
ThinkingOrchestrating
Connected toSyncs
  • Salesforce
  • HubSpot
  • Dynamics
  • +3 more: Pipedrive, Zoho and Attio
  • TitanX
Now
RevOpsin EvergrowthBuildsICP verticalsTrains+5
GTM engineerin ClaudeMCPAccount QualificationContact FinderContact QualificationSalesforce
Account executivein SlackAccount ResearchContact ResearchSlackThumbs up
SDRin CopilotMCPContact FinderEmail/Phone FinderHubSpot
Sales managerin TeamsAccount PlanningTeamsThumbs downImproves the training
Marketing Opsin ChatGPTMCPWebsite FinderAccount QualificationHubSpot

By default, any rep can ask Eva for a new play.

Where every rep asks her

Every rep asks Eva from Slack, Teams or AI tools

Eva answers in Slack, in a direct message or when someone mentions her in a channel, in Microsoft Teams in a direct message, and in ChatGPT, Claude and Copilot through MCP. It is the same Eva as in the workspace, with each rep's own permissions, and her answers link back to the workspace.

In AI tools, through MCP

Reps and RevOps reach Eva from their own AI tool

The Evergrowth connector brings Eva into ChatGPT, Claude and Copilot. She answers from the same workspace research, and before she launches anything she shows the cost and asks.

On the record

Every rep starts research from the account itself

The research lands on the account record, not in a rep's own chat. Launch agent lists the account agents, each with a hint on when to use it, and every launch shows its estimated credits before the rep confirms.

Eva thinks, then orchestrates

Eva plans the steps, then writes plays for every rep

A rep asks for a new play, and Eva works out the steps: she reads the guides and existing plays, then writes it into the team's Play Agents. Generating it on persona-fit contacts is a separate launch, at 1 credit per play per contact.

Every answer explained and rated

Every answer shows its reasoning and syncs to your CRM

RevOps writes the criteria once, so every rep's accounts are judged the same way. Each answer carries its reasoning and its sources when found, a rep can rate it with a thumbs up or down, and RevOps maps the fields to your CRM.

Agent Training Center

RevOps writes the ICP, personas and value proposition once

Publish them and the agents that use them work from the new version for every rep. By default, only the Admin and Sales Ops teams can change them; reps read them.

Side by side

How the 2 models compare

Clay's column comes from Clay's pages and docs, Evergrowth's from the product itself. Both checked 2 Oct 2026.

Clay and Evergrowth, side by side
DimensionClayEvergrowth
Who runs it
Core modelA data and workflow platformGTM data and workflow platform for GTM engineers, with a chat layer for repsA workspace of digital colleaguesWorkspace of specialized digital colleagues, built for teams
Who orchestratesGTM engineers and RevOpsGTM engineers and RevOps build and orchestrate; reps use search and approved Functions from their AI toolOps orchestrates, every rep runsOps builds the training and orchestrates the agents; every rep runs them from the record or by asking Eva
What RevOps ownsEvery play, permissions, budgetsBuilding each play as a Function, plus rep permissions and credit budgetsThe training center and who edits whatThe training center, and who can edit what, set per team
What a rep can do
Where reps workOnly in their AI toolIn their AI tool, through Clay MCP: Clay's Sales Rep role cannot open the Clay workspaceWorkspace, Slack, Teams or AI toolIn the workspace, Slack, Teams or their AI tool through MCP, with the same Eva in each
In a rep's AI toolSearch, lookups and draftsSearch, lookups, drafts and the Functions Ops enablesEva, running the agentsEva, who runs the agents and writes plays, as she does in the workspace
A new playOps builds it as a FunctionBuilt by Ops as a Function, then enabled for MCP by an adminRevOps writes it, or EvaWritten by RevOps, or by Eva when a rep asks; by default reps can create plays
Data, CRM and automation
ResearchAI columns builders tuneAI columns and Claygent agents, built and tuned by buildersAgents set up once, reasoning shownQualification and research agents RevOps sets up once; each answer shows its reasoning
Contact dataWaterfalls across 150+ databasesWaterfalls across 150+ databases, built in Clay; reps can ask for emails and phones from their AI toolPersona-fit contacts, billed on findsContact Finder picks persona-fit contacts; the Email/Phone Finder bills only what it finds
CRMOps controls write-backsOps controls CRM write-backs centrally; the default rep tools include no CRM write2-way sync with 6 CRMs2-way sync with 6 CRMs; findings write back as EG fields, emails and phones where you map them
Always-on runsBuilt and run by OpsAudiences, schedules and webhooks, built and run by Ops; Workflows is in open betaScheduled, or on a saved viewScheduled workflows, daily, weekly or monthly, or when a record enters a saved view
Where each line comes from
  • Clay websiteread 2 Oct 2026
  • Clay website: waterfall enrichmentread 2 Oct 2026
  • Clay blog: how Clay uses Clay17 Jun 2026
  • Clay blog: MCP for reps14 Jul 2026
  • Clay blog: introducing Workflows11 Aug 2026
  • Clay blog: Series D9 Sep 2026
  • Clay docs: roles and permissionsread 2 Oct 2026
  • Clay docs: MCP settingsread 2 Oct 2026
  • Clay docs: using Clay in Clauderead 2 Oct 2026

Evergrowth's column: the product as it ships, checked 2 Oct 2026.

ARIS reps now work with the agents directly

ARIS rolled the agents out across its regions. These 4 changes come from its customer story.

“Seeing reps go into an AI system and start running their own agentic workflows, that's something I wouldn't have imagined two years ago.”

Sven Roeleven Sven Roeleven, SVP Solution Management, ARIS
Read the ARIS story
Hours → seconds
Account research and planning time compressed
Custom signals
Built niche Research Signal Agents (e.g. on-prem vs SaaS buyers)
Global rollout
Structured training, regional webinars, and onboarding embedded
Cultural shift
Reps now experiment directly with AI agents independently
Questions

Questions teams ask when they already have Clay

We already pay for Clay. Do our reps need Evergrowth?

If your reps only need search, lookups, drafts and the Functions Ops builds, Clay MCP covers that. Evergrowth is for teams that want every rep running qualification, research and plays on their own accounts, from agents RevOps has trained once.

Clay MCP already puts Clay in Claude and ChatGPT. Is that the same thing?

Not quite. Clay MCP gives reps search, lookups, drafts and the Functions Ops enables. Evergrowth puts Eva in those tools and in Slack and Microsoft Teams: the same Eva as in the workspace, running the same agents.

Do we still need a GTM engineer?

Yes, for what a builder does best: data workflows in Clay, and in Evergrowth the training center, research signals and team permissions. What changes is the queue: by default, reps no longer wait for plays on signals you already track.

Can Evergrowth work on records Clay enriched?

Yes, through your CRM. Evergrowth syncs accounts and contacts with 6 CRMs, including HubSpot and Salesforce, and writes findings back as EG fields. Emails and phones go to the fields you map, and inbound sync runs on a schedule.

Do we pay per rep?

No. Every plan includes unlimited users, and you pay for the credits the agents use, from €747 a month.

What your security team will ask
  • Never used to train models

    Your CRM data, research outputs and agent activity are never used to train or fine-tune models. Not by us, not by our providers.

  • Your workspace is isolated

    Each workspace is logically isolated, so your data is never accessible to another customer.

  • You control retention

    If you cancel, your data is returned or deleted, your choice. If you make no request, all personal data is permanently deleted within 30 calendar days.

The detail, the sub-processors and the DPA are on Security and trust.

Your material stays yours

Under the MSA, everything you upload and everything the agents produce from it is yours.

SOC 2Audited
ISO 27001Certified
GDPRCompliant

See it on your own accounts

A live walkthrough on your ICP: agents qualifying, researching, finding contacts and writing plays. Bring your GTM engineer.

Request a demo