SAMPLE · by referral Diaspora Wealth = verified data NEXT = method preview
The system finds the money your desk can't see.
Two mandates, one engine. For Bank Audi's wealth desk it sources diaspora prospects — running the
broad public-record wealth universe (the euros) down to the verified Lebanese cohort with a warm path on every name.
For AM Bank's NEXT it reads how a diaspora-fintech launch will land before a dollar is spent.
Live mandate · verified data
Diaspora Wealth — for the wealth desk
Affluent diaspora your prospecting misses, surfaced from public records and verified one by one.
The bank runs its own know-your-customer (KYC); we deliver the identification and the door.
Precision funnel — the euros narrow to the Lebanese
Real engine run · the donor-intelligence corpus repurposed for the banking cohort. Every stage is a filter; the onomastic step is where breadth becomes precision.
0public-record signals scanned
the broad wealth universe — every name, every filing
▼ resolve & de-dupe
0unique candidates
resolved & de-duplicated
▼ onomastic identity (Lebanese)
0Lebanese identity
onomastic surname-incidence filter — the euros narrow to Lebanese
▼ capacity + signal threshold
0capacity-qualified
wealth + signal threshold
▼ verify the real person
0verification attempted
disambiguate the real person · 2 rejected on identity
▼ confirm + map the warm path
0conversation-ready
confirmed identity · warm path on every name
12 prospects → 2 doors
The network-leverage edge: nearly everyone clusters onto two institutions. One introduction per hub reaches the whole cluster.
Where the capacity sits
United States · dot size = indicative capacity band (the bank verifies via KYC).
The US set is one geography. The engine already holds the international waves: 95 candidates surfaced across Canada, the UK, France and Australia, 54 carrying a Lebanese signal. Below, the top names verified one by one — with the "euros" alongside, proving the engine isn't limited to one community.
Executive Chair, Saputo Inc. (dairy; family controls ~38.7%)
Warm path Concordia University · Centraide Montreal
General-UHNW 'euro' — Italian-Canadian Catholic family
Method preview · illustrative / synthetic
NEXT — know how the launch lands before you ship
A diaspora-fintech launch into an audience that lost trust in Lebanese banking is the real risk.
The behavioral engine models the launch before a dollar is spent: which corridors first, which messages move them, and the words that detonate trust.
Diaspora corridors → Beirut
Where NEXT launches first. Tier-1 corridors highlighted; arc weight is illustrative.
Frame resonance × corridor — and the trust kill-switches
Which message moves which corridor (1–5), and the phrases that backfire on a wounded audience.
UAE
France
Australia
Canada
US
Trust · depositor-side (2022 break)
5
5
4
4
5
Cross-border ease
5
4
3
3
4
Youth-native
2
3
5
4
3
CEO as the human face
4
4
3
4
4
✕“your money is safe” — bare reassurance re-triggers 2019 loss
✕“back to normal” — denies the haircut depositors lived
✕legacy-bank tone — reads as the system that failed them
METHOD PREVIEW. Corridor weights and resonance scores above are illustrative of the engine's output shape, not measured findings — and AM Bank's strongest trust frame (its 2022 Association of Banks in Lebanon (ABL) break, siding with depositors) is shown indicatively. The real, calibrated read is the Phase 0 Launch-Readiness Study — built per corridor from synthetic audience modeling plus live validation.