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Comparison · vs Clay

Anfloy vs Clay.

Clay is the best enrichment platform we know of - most of our GTM builds call Clay as a tool. The question isn't which one. It's: is enrichment the bottleneck, or is the bottleneck what to do with the enriched data? Use Clay when enrichment is the gap. Use Anfloy when you need the system that turns enriched data into pipeline.

Their jobEnrich rows in a table
Our jobRun the whole GTM motion
OverlapWe use Clay inside our builds
Decision ruleNeed data? Clay. Need a system? Anfloy.
[ 001 ]The architectural difference · Side by side

Why not just use Clay?

Sales data enrichment platform. The table reads Clay on the left, Anfloy on the right - both honest.

· Dimension
· Clay
· Anfloy
Primary unit
A row in a table. You orchestrate.
An end-to-end workflow. We orchestrate.
Personalization
Templates + AI variables.
Multi-pass research → reasoning → drafted message tailored per account.
Signal detection
You set the triggers.
Continuous intent monitoring across sources, with custom heuristics.
Sequencing
Hands off to your sequencer.
Owns the sequence - CRM updates, send timing, reply handling, escalation.
Custom logic
Inside their runtime.
Anywhere. Your repo, your stack, your tools.
Cost model
Credits per enrichment / per AI call.
Flat build. Bring your own Clay seat if you want one inside it.
Primary unit
Clay

A row in a table. You orchestrate.

Anfloy

An end-to-end workflow. We orchestrate.

Personalization
Clay

Templates + AI variables.

Anfloy

Multi-pass research → reasoning → drafted message tailored per account.

Signal detection
Clay

You set the triggers.

Anfloy

Continuous intent monitoring across sources, with custom heuristics.

Sequencing
Clay

Hands off to your sequencer.

Anfloy

Owns the sequence - CRM updates, send timing, reply handling, escalation.

Custom logic
Clay

Inside their runtime.

Anfloy

Anywhere. Your repo, your stack, your tools.

Cost model
Clay

Credits per enrichment / per AI call.

Anfloy

Flat build. Bring your own Clay seat if you want one inside it.

[ 002 ]Honest fit · When each is the right call
· Pick Clay

When Clay is the right call

  • You're a small team and need to enrich lists fast without writing code.
  • Enrichment is your only bottleneck - sequencing and routing already work.
  • You want a UI a non-engineer on your team can edit directly.
  • You're prototyping a GTM motion and don't yet know what to systematize.
· Pick Anfloy

When Anfloy is the right call

  • Enrichment is solved - what's broken is what happens after.
  • You want the system to read your CRM, your Slack, your sales notes, and reason from all of them.
  • You need pipeline metrics (booked meetings, accepted demos), not enrichment metrics.
  • Your ICP signals aren't in any pre-built data provider, and you need to build them.
  • You want the code in your repo so you can extend it without buying more seats.
[ 003 ]FAQ · Questions buyers ask on the first call

Anfloy vs Clay, answered.

Do you build inside Clay or replace it?

Usually inside it. Most of our GTM builds use Clay as the enrichment layer because no one else does it as well. We build the layers above and below - signal detection, personalization, sequencing, CRM hygiene, follow-up automation - that turn Clay's enriched rows into actual pipeline.

What if we already have a Clay setup that isn't producing pipeline?

That's the most common reason teams hire us. The fix is almost never 'more Clay' - it's everything around Clay. We audit the funnel, identify where signal-to-meeting drops off, and rebuild that layer as a custom agent. Clay usually stays.

Is Anfloy more expensive than Clay?

Clay is a SaaS subscription priced on credits. Anfloy is a one-time build starting at $5,000 for a single agent, $15K+ for a full GTM stack. The math depends on volume - most clients run both.

Why not just hire someone good at Clay?

Operators good at Clay are good at running Clay. They are rarely good at building the systems that should exist around Clay - webhooks, custom enrichment heuristics, sequencer logic, CRM automation. That's engineering work. Hire a Clay operator for ops; hire us for the system.

[ 004 ]Continue · Other comparisons

Three more head-to-heads.

· vs Zapier
Anfloy vs Zapier

No-code workflow automation.

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· vs In-house AI engineer
Anfloy vs In-house AI engineer

Hiring a full-time AI engineer.

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· vs AI agency
Anfloy vs AI agency

Traditional agency or AI consultancy.

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· vs Lindy
Anfloy vs Lindy

No-code AI agent platform.

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· vs Gumloop
Anfloy vs Gumloop

Visual AI workflow automation.

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· vs AiSDR
Anfloy vs AiSDR

AI SDR / outbound platform.

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· vs Qualified
Anfloy vs Qualified

Conversational AI for inbound B2B sales.

Read comparison
[ 099 ]The next move

Skip the deck.
See it run on
your data.

Bring a few internal docs. We plug into your stack and build a small agent live on the call - so you see what a custom Anfloy system looks like before comparing line items.

↳ Or skip ahead · book a call