1,000+ competitor ads, read in a single day.

We help you grow revenuewith AI in your sales team.

Two weeks to find every place revenue slips away. Thirty days to have the AI that stops it, live inside the tools you already use.

Case studies
Built byHugues Bouissonnié, founderKoen Salomons, founder
Industries we have previously worked in
  • Logistics
  • Payments
  • Media
  • Food & Retail
Installed ByCompany Layer

What we install

Your scattered data becomes one AI context layer

We plug into what you already use and build one connected model of how revenue actually gets made here. Sales, marketing, paid social and the people who own your accounts: what each team works in, what they hand each other, and every place that handoff drops something.

Your Data

CRM
Tools
Docs
Drives
Web search

AI Context Layer

Mapped 112 tasks, found 10 bottlenecks, 4 quick-wins

Clear Next Steps

  • Leads scored every morning
  • Follow-ups recovered
  • Proposals and decks drafted
  • Competitor and ad briefs

Installed inside the tools you already use. Every morning.

What you get

Nine AI systems we build. Yours can be the tenth.

Every one of these is a system we build and hand over, running inside the tools your team already opens. Nine is where we start, not a menu: tell us how your team sells and where it stalls, and we build for that instead.

Full competitor ads analysis

Every ad your rivals are running, pulled from every public ad library and read in a day.

Ad strategy and campaign build

Where the budget should go next quarter, which lane is open, and the campaigns to run in it.

AI visibility audit

What the assistants answer when your buyers ask, who they name instead of you, and what to publish about it.

New market research

Which markets are actually buying what you sell, who already owns them, and what it takes to win one.

Job-signal lead generation

Companies hiring for the exact problem you solve, found every week, while they are still hiring for it.

Lead tracking and scoring

Every lead ranked and in your CRM by 07:00, each one carrying the reason it scored what it scored.

Account expansion analysis

Every product, region and buyer inside an account you already hold, sized and ranked as things to sell.

Follow-up recovery

Outreach that never drops a thread, and stops the moment somebody replies.

Proposals and decks

Drafted from your own files, in your own language, ready for a human to finish rather than start.

Anything with a case study links to measured work we delivered. The rest we build; we have no published result to show for them yet, and we do not pretend otherwise.

Anything else

Custom AI systems for your sales team.

Depending on your context, we build the system you actually need instead of the closest thing on this list. Tell us how your team sells, what it sells, and where it keeps stalling, and that is what we build against.

Case studies

What we delivered for our clients.

The headline on each is what a full run covers. Everything quoted under it is measured from the work we delivered.

A full AI visibility audit: 10K answers across five surfaces

We ask the assistants what your buyers ask, then hand back what to fix and what to write. Last run: their rival named in 99% of shortlists, them in 37%.

Answer-share bars on merchant shortlists, the account fifth at 37.1% against rivals at 98.6% and 94.3%.
Answer share by buyer intent with 95% confidence intervals, three intents returning zero.
Heat grid of five AI surfaces against five European markets.

10K answers is the size of a full audit. The 99% and 37% are measured, repeat-sampled across five surfaces.

1,000+ competitor ads analysed, and where to spend next

Every ad your rivals run, across four ad platforms, read in a day. Last run: one rival reaching 12.1m people in the EU against our client's 2.1m.

EU reach year to date for six advertisers, the account fifth at 2.1m against the incumbent's 12.1m.
Positioning map of the six advertisers, with one quadrant carrying no advertisers at all.
664 measured ads broken down by platform and creative format.

1,000+ is the size of a full sweep. The reach figures are measured from public ad libraries.

A full account expansion analysis: 100K+ deals found

Every product, region and buyer inside an account you already hold, sized and ranked, each lane written as something to sell rather than to observe.

Four growth lanes, each written as a thing to sell, with what gets sold and which function signs it.
Five claims corrected before the deck was sent, each shown as the old value struck out beside the new one.
What counted as evidence and what was ruled out, including unsourced appointment dates and anything a model asserted.

100K+ is the size of a full analysis. On the last one, 82,542 sellable units surfaced in a single lane.

2,000 companies a week, hiring for the exact problem you solve

Public job postings read every week, filtered for the hiring pattern that predicts the need, then resolved to the person who owns it.

Funnel slide: 921 companies screened, 37 excluded as agencies and recruiters, 884 delivered.
Ranked lead table: company, the open role that proves the need, score and tier.
QA chart: 821 contacts left blank rather than guessed, 62 verified, 0 inferred.

2,000 a week is the run rate. On the last delivery: 921 screened, 884 shipped, zero contacts invented.

A full AI visibility audit: 10K answers across five surfaces

We ask the assistants what your buyers ask, then hand back what to fix and what to write. Last run: their rival named in 99% of shortlists, them in 37%.

Answer-share bars on merchant shortlists, the account fifth at 37.1% against rivals at 98.6% and 94.3%.
Answer share by buyer intent with 95% confidence intervals, three intents returning zero.
Heat grid of five AI surfaces against five European markets.

10K answers is the size of a full audit. The 99% and 37% are measured, repeat-sampled across five surfaces.

1,000+ competitor ads analysed, and where to spend next

Every ad your rivals run, across four ad platforms, read in a day. Last run: one rival reaching 12.1m people in the EU against our client's 2.1m.

EU reach year to date for six advertisers, the account fifth at 2.1m against the incumbent's 12.1m.
Positioning map of the six advertisers, with one quadrant carrying no advertisers at all.
664 measured ads broken down by platform and creative format.

1,000+ is the size of a full sweep. The reach figures are measured from public ad libraries.

A full account expansion analysis: 100K+ deals found

Every product, region and buyer inside an account you already hold, sized and ranked, each lane written as something to sell rather than to observe.

Four growth lanes, each written as a thing to sell, with what gets sold and which function signs it.
Five claims corrected before the deck was sent, each shown as the old value struck out beside the new one.
What counted as evidence and what was ruled out, including unsourced appointment dates and anything a model asserted.

100K+ is the size of a full analysis. On the last one, 82,542 sellable units surfaced in a single lane.

2,000 companies a week, hiring for the exact problem you solve

Public job postings read every week, filtered for the hiring pattern that predicts the need, then resolved to the person who owns it.

Funnel slide: 921 companies screened, 37 excluded as agencies and recruiters, 884 delivered.
Ranked lead table: company, the open role that proves the need, score and tier.
QA chart: 821 contacts left blank rather than guessed, 62 verified, 0 inferred.

2,000 a week is the run rate. On the last delivery: 921 screened, 884 shipped, zero contacts invented.

A full AI visibility audit: 10K answers across five surfaces

We ask the assistants what your buyers ask, then hand back what to fix and what to write. Last run: their rival named in 99% of shortlists, them in 37%.

Answer-share bars on merchant shortlists, the account fifth at 37.1% against rivals at 98.6% and 94.3%.
Answer share by buyer intent with 95% confidence intervals, three intents returning zero.
Heat grid of five AI surfaces against five European markets.

10K answers is the size of a full audit. The 99% and 37% are measured, repeat-sampled across five surfaces.

1,000+ competitor ads analysed, and where to spend next

Every ad your rivals run, across four ad platforms, read in a day. Last run: one rival reaching 12.1m people in the EU against our client's 2.1m.

EU reach year to date for six advertisers, the account fifth at 2.1m against the incumbent's 12.1m.
Positioning map of the six advertisers, with one quadrant carrying no advertisers at all.
664 measured ads broken down by platform and creative format.

1,000+ is the size of a full sweep. The reach figures are measured from public ad libraries.

A full account expansion analysis: 100K+ deals found

Every product, region and buyer inside an account you already hold, sized and ranked, each lane written as something to sell rather than to observe.

Four growth lanes, each written as a thing to sell, with what gets sold and which function signs it.
Five claims corrected before the deck was sent, each shown as the old value struck out beside the new one.
What counted as evidence and what was ruled out, including unsourced appointment dates and anything a model asserted.

100K+ is the size of a full analysis. On the last one, 82,542 sellable units surfaced in a single lane.

2,000 companies a week, hiring for the exact problem you solve

Public job postings read every week, filtered for the hiring pattern that predicts the need, then resolved to the person who owns it.

Funnel slide: 921 companies screened, 37 excluded as agencies and recruiters, 884 delivered.
Ranked lead table: company, the open role that proves the need, score and tier.
QA chart: 821 contacts left blank rather than guessed, 62 verified, 0 inferred.

2,000 a week is the run rate. On the last delivery: 921 screened, 884 shipped, zero contacts invented.

Client names withheld by agreement. Headline figures are the size of a full run, not a count from one job; every finding quoted under one is measured, and the slides are that run. None of this is a revenue-lift claim.

The founders

Who you will work with.

No account managers and no hand-off. A note from the two people who do the building, on what we believe and what we do about it.

Every industrial revolution paid the appliers, not the builders. The internet made far more money for the companies that learned to sell on it than for the ones who wired it. AI is running the same play.

AI is already capable. The hard part is getting a company to actually use it.

That is the whole of what we do. We map how your company really runs, put a number next to every place revenue leaks out, and agree with you on what is worth building. Then we build it and leave a working system behind, running inside the tools your team already opens every morning.

We are two people, not an agency. You will talk to us, not to an account manager. And if we do not believe we can move your number, we will tell you that before you pay us.

HbouissHugues, Co-founderKsaloKoen, Co-founder

Want this inside your company?

Tell us where you think revenue is going missing. We will tell you whether we can find it, and what it costs to look.

Company Layer

We install the system, run it with a person in the loop, and hand it over working.

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