Customer layerTreasury stack

Counterparty

The buyer list nobody else thought of.

Strategic and financial buyer screening across global corporates, sponsors and their portfolios, ranked by strategic fit, capacity to pay and historical acquisition behaviour.

Global

Buyer universe

Ranked

By fit and capacity

Live

Process grid

Play the demo ↓
00Playable demo

Worked example

Buyer universe — medtech sell-side

Target profile + global corporate and sponsor universe + 10 years of deal history

Target

€180M revenue, surgical consumables

Universe screened

9,400 corporates, 2,100 sponsors

Deal history

10 years, 14,000 transactions

Obvious list

23 names the team already had

Run log

  1. Define the fit

    Strategic fit decomposed into product adjacency, channel overlap, geographic gap and vertical integration logic.

  2. Screen the universe

    11,500 potential acquirers scored; 9,400 corporates including non-obvious adjacent-sector buyers.

  3. Test capacity to pay

    Balance sheet, leverage headroom and recent deal size checked for each shortlisted buyer.

  4. Read acquisition behaviour

    10 years of deal history mined for what each buyer actually buys, not what it says it wants.

  5. Rank and build outreach

    Ranked list with rationale, banker relationship mapped, outreach tracker created.

Output

Press run to work this example end to end. Everything below is produced from the input above — sample data, real output shape: ranked buyer list, outreach tracker, process status.

01What it does
01

Fit modelling

Adjacency, synergy logic and prior deal patterns scored per buyer.

02

Capacity screen

Balance sheet headroom and dry powder tested before outreach.

03

Outreach tracking

Process status, NDAs and bid milestones in one live grid.

02Inputs and outputs

Takes in

  • Target profile
  • Corporate + sponsor universe
  • Deal history

Hands back

  • Ranked buyer list
  • Outreach tracker
  • Process status