One campaign per buying moment. One sequence per prospect.

Prospectlab enriches your list, clusters it into segments that share a buying moment, and assembles a personalised sequence for every prospect, from copy you write with Kat and approve.

START YOUR FIRST CAMPAIGN

Most outbound tools help you send. Prospectlab helps you decide what to say /

Cold campaigns rarely fail because of one bad sentence. They fail upstream, on who you target, when, and why now.

Who exactly are you targeting? What specific problem do they have that others do not? What are you offering as a first step that is worth their time?

How it works

Upload & Enrich

Upload your list. Prospectlab verifies every address and enriches each contact with company heritage, case studies, hiring signals, and recent news: raw material for emails anchored to real facts.

Discover your segments

Prospectlab clusters your list around shared buying moments, for example Series B SaaS firms scaling sales, or UK consultancies hiring fast. Each cluster becomes one targeted campaign with its own message, not a broad blast stretched across everyone.

Write it with Kat, or bring your own

Kat, your AI campaign strategist, helps you write the gold-standard emails for each segment, and you approve every paragraph variant before anything is generated. Or lock your own drafts in Pattern Studio and let the engine build rotation variants around them.

What makes Prospectlab different /

Most platforms optimise sending volume. Prospectlab optimises what you say, and who hears it.

Personalisation based on real signals

Every prospect is scored for signal quality. High-signal prospects get proof-led emails anchored to case studies and company history. Thin-data prospects get clean, honest generics. You always know exactly what is being sent.

Automatic warm-introduction detection

If a prospect previously worked at one of your existing clients, the opening changes automatically to reference the shared connection. No tagging, no manual research. The system catches it before you see the draft.

Deterministic campaign assembly

Once composed, generation is deterministic: no LLM in the send path, nothing improvised at volume. 400 prospects produce 400 unique sequences in seconds, and every one is built from copy you approved.

No AI in the send path. By design /

Most tools put the AI at the worst possible moment: writing a live email per prospect, at send time, unsupervised. Prospectlab draws a hard line through the product.

AI at configuration time

Interpreting signals, recommending angles, co-authoring your gold-standard emails, proposing variants, flagging QA. You review and approve all of it.

  • Kat critiques your drafts and recommends frameworks.
  • You approve every paragraph variant before generation.
  • Nothing leaves the workspace until you say so.

Deterministic at send time

The engine assembles each prospect's email from the variants you already approved.

  • Same prospect, same pools, the identical email, every run.
  • No LLM, so nothing can be invented at send time.
  • You can trace any line back to the signal that produced it.

And this is not spintax. Spintax swaps synonyms inside one fixed structure, which spam filters fingerprint instantly. Prospectlab rotates whole paragraphs you approved: different openings, different arguments, different CTAs, selected by each prospect's signals. At volume it reads like a team writing individual emails, because structurally, it is. You QA once, before generation, and trust the whole batch.

Who Prospectlab is for /

Prospectlab is built for teams that want precise, signal-led campaigns rather than another high-volume sending tool.

Founder-led B2B companies

Turn a raw list into structured campaigns without hiring an SDR team. Kat guides each step.

Sales teams running segmented outreach

Replace broad blasts with campaigns written for the real clusters inside your prospect list.

Growth-stage B2B companies

Stand up structured outbound before building a full SDR function, at a cost you can predict.

Boutique consultancies

Run small, precise campaigns anchored to real client work and sector expertise.

Outbound agencies

Run segmented, deterministic campaigns across multiple client workspaces, with copy your clients can approve before anything sends.

Prospectlab in action

Everything you need to run targeted outbound

Starter from $49/month

Kat, Pattern Studio, enrichment access, deterministic assembly, and Smartlead or Instantly hand-off on one per-seat price. Enrichment is metered from $0.10 per prospect, only when used.

Ready to run your first campaign?
Upload your list and Kat will take it from there.

START FREE TRIAL

Where we stop, deliberately /

Most tools hide their gaps. Ours are deliberate architectural choices, so we publish them.

We don't have a contact database.

Bring your own list, from Apollo, LinkedIn Sales Navigator, Clay, or any CSV. We make your list worth emailing; we are not where you buy it.

We don't send.

Approved campaigns hand off to Smartlead or Instantly. Your sending reputation, warm-up, and inbox placement stay in the infrastructure you already trust.

We don't manage your inbox.

Replies land in your sending tool, where you manage them today.

We don't do phone, LinkedIn, or SMS.

Email-first by design. We make the campaign logic strong before it leaves the workspace, rather than spreading it thin across four channels.

We don't let an AI improvise your emails.

Some tools sell autonomous generation as the headline feature. We treat it as the defect this product exists to remove.

Questions, answered plainly /

Where are your case studies?

We don't have published customer results yet, and we won't invent any. Instead of a metric to take on faith, we give you a mechanism you can inspect, and you can test all of it on your own list at $49, monthly, with no annual lock-in. When we publish numbers, they will be real.

What do I need to start?

A prospect list (Apollo, LinkedIn Sales Navigator, Clay, or any CSV) and a Smartlead or Instantly account to send. That's it.

Who writes the copy, me or the AI?

You, with Kat advising. She recommends frameworks and critiques your drafts; you approve every paragraph before generation. If her critique conflicts with your edit, your edit wins.

Does it work without enrichment?

Yes. Composition and rotation run on any clean list. Enrichment is switched on per campaign, and metered only when you use it.

What happens to prospects with thin data?

They get a clean, honest generic from your approved fallback pool, clearly flagged. Never padded, never guessed, and a failed lookup is never billed.

Which sending tools do you support?

Smartlead and Instantly. Campaigns export ready to send and stay paused until you start them.

Is there a contract?

Only if you want the 20% annual discount. Otherwise monthly, cancel anytime.