Everything below came out of a single command. Real companies, real public signals with their sources, the actual messages the engine wrote, and the gate that stopped all of it before a single send.
A replay of a real run, not a live one. Every step, tool and count below is what the engine actually does and what it actually returned.
Note the drop from 60 to 12. Most tools would have messaged all 60. The engine threw away 19 companies that were not really fintech, then held back everyone without a true signal, because an opener with nothing real behind it is worse than no opener.
Three sources pulled and deduplicated, so coverage does not depend on one vendor's view of the market.
A classifier confirms each company is genuinely fintech. Source labels are never trusted. Anything off-ICP is dropped before a penny of enrichment is spent.
Companies tiered by size, then the most relevant decision-makers kept per account. Assistants, board-only seats and gatekeepers excluded.
A verified address for every kept lead, leading with the provider that verifies at source and falling through two more before giving up.
Company-level triggers pulled once per domain and cached: financing events, hiring, launches, fresh news. Only companies with something true move on.
The engine takes the strongest signal that is real and still fresh, and writes a two-line opener: the trigger, then what it means for them. If nothing is true, it says so and falls back honestly. It never invents one.
A full sequence per lead, then checked against hard rules: British English, no em dashes, word caps per step, two-word lowercase subject, no call-ask on LinkedIn. Break one and it is rewritten.
The pipeline does not send. Copy lands here for a person to read before anything reaches a prospect. Pushing to Instantly and HeyReach is a separate, deliberate command.
Every trigger below is public and cited. Leads with no signal were dropped from this view deliberately, because those are exactly the ones that should never get a personalised opener.
| Company | Persona | Tier | Signal | The observation | Channel |
|---|---|---|---|---|---|
| RevolutNeobank · UK | VP Marketing | Enterprise | expansion | $75bn valuation, entering new markets and products faster than any rivalTechFundingNews / Finanser, Jun 2026 | multi |
| ChimeNeobank · US | Head of Growth | Enterprise | expansion | Post-IPO momentum, expanding the product suite and hiring into data and complianceChime Q1 2026 investor update | multi |
| QuantexaDecision intelligence · UK | CMO | Large mid | funding | Raised £104m, taking the total to £286m for AI financial-crime detectionBeauhurst / FinTech Global, 2026 | multi |
| PaymentologyIssuer-processor · UK | VP Marketing | Large mid | funding | $175m growth round, live in around 70 countries and scalingFinTech Global, 2026 | multi |
| Allica BankSME banking · UK | Head of Growth | Mid-market | funding | $155m Series D, tipped as the UK's next fintech unicorn at around $1.2bnTech.eu, Feb 2026 | multi |
| ZilchIntelligent commerce · UK | Head of Brand | Mid-market | launch | Zilch Pay one-click checkout launching, $175m raised alongside itFinTech Magazine / TFN, 2026 | multi |
| SumsubKYC / verification · UK | CMO | Mid-market | funding | Reported to be raising a $150m to $200m Series D to fund KYC and AML acquisitionsSanction Scanner / sector reporting, 2026 | multi |
| ComplyAdvantageAML / regtech · UK | Head of Demand Gen | Mid-market | consolidation | Named among likely M&A targets as regtech consolidates, category noise risingSanction Scanner / Tech Insider, 2026 | multi |
| KordOnboarding / anti-fraud · UK | Head of Marketing | Early | funding | Closed £6.4m Series A to fight AI-enabled fraud in regulated sectorsFinTech Global, 9 Jul 2026 — one day old when the campaign ran | multi |
| KalipsoRegulatory change · UK | Co-founder | Early | funding | $3.2m seed for AI that helps financial institutions implement regulatory changeFinTech Global, 2026 | multi |
| RoundAI finance automation · UK | Founder | Early | funding | $6m seed from early Monzo and GoCardless investorsTechFundingNews, 2026 | multi |
| Vivox AIRegtech · UK | Founder | Early | funding | Secured £1.3m to scale AI compliance tooling, building a category from scratchFinTech Global, Mar 2026 | multi |
On the names. Every signal and source above is public and checkable. Contact names and addresses are not shown here. In a live run they come from the verified enrichment waterfall and pass the human gate before anything sends.
Four messages per lead, each built on that lead's own signal. Two examples, exactly as they came out, before a human touched them.
Hi {{firstName}}, saw Quantexa's £104m round, taking the total past £286m. Fresh capital usually means a bigger growth target and a pipeline number that just moved. Most teams answer that by hiring, which takes two quarters before the first meeting lands. We build the outbound engine inside your own stack instead, and hand you the keys. One client went from nothing to 85 qualified conversations in four months. Want the one-pager?
The part nobody budgets for is ramp. An SDR is six months from signature to consistent pipeline, and you carry the cost either way. An engine is live in about two weeks and does not resign. Happy to send the short case study on how we did it, shall I?
Hi {{firstName}}, congrats on the raise. With capital that fresh the pressure usually lands on pipeline before the team is ready for it. Curious how you are planning to cover that gap over the next couple of quarters.
With the round closed, {{firstName}}, the growth number tends to arrive before the headcount does. We build outbound engines companies run themselves, live in about two weeks. Happy to share what that looked like for a similar team.
Hi {{firstName}}, congratulations on the £6.4m yesterday. A Series A in anti-fraud usually means the target moves the same week the money lands, and marketing carries it first. Building outbound from scratch at that point costs you a quarter you do not have. We build the whole engine inside your stack and hand it over. Want the one-pager on how that works?
Most teams at your stage try an agency first, and the system leaves when they do. The version we build stays with you, on your domains, with your team trained to run it. Nothing sends without a person approving it. Shall I send the case study across?
Hi {{firstName}}, saw the Series A land yesterday, congratulations. Curious whether outbound is something you are building in-house or handing out, because the answer tends to set the next twelve months.
Fresh raise and a fraud category moving quickly, {{firstName}}. We build outbound engines teams own outright rather than rent from an agency. Happy to show you what one looks like if it is useful.
Every message here passed the hard rules automatically: British English, no em dashes, no exclamation marks, word caps per step, and no request for a call inside a LinkedIn message. Anything that failed was regenerated before a human ever saw it.
Forty-eight messages, written, validated and scored, sitting and waiting. Nothing reached a prospect until a person read it and said yes. That gate is not a setting you can switch off, it is how the engine is built.
This is the part that separates an engine from a send button.
Or take the free toolkit and map your own buying committee first.