GTM infrastructure, operated for you

Great data in. Agents on top. Reps closing.

Four layers — data, agents, orchestration, execution — moving through three stages: fix the data, generate the pipeline, make the closer unstoppable. We build all of it and run it every day, for the price of one salesperson.

What do you want to build?

Find people dataFind company dataFind hiring signalsScore my ICPRoute my inboundLaunch an ABM play
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Data

Every account, every signal, in one place

One data layer instead of six contracts. Your first-party data — CRM, product usage, web traffic, lost deals — merged with 200+ third-party providers through waterfall enrichment, and intent signals built from anything public on the internet.

  • Waterfall enrichment for coverage no single vendor can match
  • Live signals: hiring, funding, job changes, tech shifts, pricing-page visits
  • First- and third-party data unified, deduped, refreshed daily

+140%

outbound-sourced pipeline when target accounts are researched continuously for headcount, technographics and web intent.

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Agents

Agents that mimic your best rep

Your strongest seller does 20 minutes of research before a call. Agents do that research on your entire addressable market, every morning, and write it down in language a human can act on.

  • Mine the web for custom qualification data points per account
  • Monitor accounts non-stop for a reason to engage this week
  • Prep the rep with the detail that makes every touch specific

4 hrs / rep / week

given back when contact sourcing and account research run as agents instead of manual work.

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Orchestration

Logic defined once, running everywhere

Every GTM and AI tool wired to the same data layer, so a signal fires and the whole system reacts — routing, scoring, sequencing, CRM updates — without anyone remembering to do it.

  • Real-time workflows across your existing tools and warehouse
  • Update millions of records in the CRM without breaking reporting
  • One set of GTM rules reused in every play, every market

2× warm replies

when email replies are analysed automatically and routed to the right nurture campaign instead of an inbox.

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Execution

New plays live as fast as you have ideas

Email, LinkedIn, calls and paid audiences triggered from the same account list, with 1:1 messaging written programmatically. A new test ships in days, not quarters.

  • Multi-channel sequencing with behaviour-based next steps
  • Ad audiences synced to LinkedIn, Meta and Google from the same list
  • Reply handling, qualification and booking straight into the closer's calendar

+60%

qualified lead volume when research agents trigger personalised campaigns off real prospect interests.

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The three stages — in this order

Skip a stage and you're just automating guesswork faster.

Stage 1

Data foundations

Fix the input before scaling the output.

Most GTM problems are data problems wearing a messaging costume. First we rebuild the foundation: your total addressable market sourced properly, the CRM enriched and deduped, territories drawn from real firmographics, and enrichment piped back into every system your team already looks at.

TAM sourcingCRM enrichmentTerritory planningReverse ETL into your systems

What you get: A live, trustworthy view of every account and person worth your time.

Stage 2

Pipeline generation

Turn the foundation into meetings.

With clean data and live signals, pipeline stops being a monthly heroic effort. Outbound runs off intent instead of alphabetical lists, inbound is enriched and routed in seconds, signups are worked while the user is still curious, and named accounts get surrounded with ads and outreach at once.

Signal-based outboundInbound enrichment & routingPLG assistABM with synced ad audiences

What you get: A predictable flow of qualified conversations, built daily instead of quarterly.

Stage 3

Rep productivity

Give the closer an unfair advantage.

The machine hands over; the human converts. Your salesperson walks into every meeting with the account researched, the angle tested and the follow-up drafted. Prep collapses, admin disappears into automation, and the rep spends the day on the one thing that can't be automated — earning trust and closing.

Self-serve prospectingAccount research briefsChat for full account contextAutomated follow-up & CRM hygiene

What you get: More selling hours per rep — and a higher win rate on the meetings they get.

What changes in the first quarter

TodayWith the machine running

Lists bought once a quarter, stale in a week

Accounts refreshed every morning from live signals

Reps spend half the day researching

Research arrives written, before the meeting

Six tools, six contracts, nobody owns them

One operated stack, one owner, no license fees

Outbound volume up, reply rate down

Fewer, sharper touches tied to a real trigger

Pipeline reviews built on opinion

Every stage instrumented and reported weekly

You don't need to buy the stack. You need someone to run it.

Your growth hacker owns every layer above — backed by a team of data, copy, automation and AI ops specialists — while your salesperson does the last mile and closes. One salary budget, no licenses, no setup projects, no tool evaluations.

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