Financial crime is engineered to look ordinary one record at a time. The networks moving the money are invisible to systems that score one account at a time. walabee finds them.
In gated, reproducible tests, walabee recovers criminal networks whole where per-transaction detection sees under a fifth of them, with zero false positives on benign look-alikes, tested at five million transactions.
A read-only feed from the systems you already run. No migration, nothing installed in the flow of payments, nothing leaves your environment. The first assembled cases land in days, not quarters.
Networks surfaced whole, including the cases no rule ever alerted on. The exposures that otherwise arrive as a regulator’s finding arrive as your case file instead.
Every case arrives assembled: network drawn, money traced hop by hop, narrative drafted. Judgement starts at minute one, not after the spadework.
Benign look-alikes, the households and payroll hubs, are screened out and shown as screened out: zero false positives on them in gated tests. The queue holds cases, not noise.
Deterministic, byte-for-byte reproducible, no language model in the detection path. Evidence your validators, auditors and regulators can replay, built to SR 11-7, SS1/23 and the EU AI Act.
Forty accounts, each below every threshold, moving money as one operation. Rules see forty unremarkable customers. The network is the evidence, and walabee reads it whole.
Every case carries its evidence, and every result reproduces exactly. No language model in the detection path. Built for the people whose names go on the filings, and the regulators who ask why.
walabee deploys inside your cloud or on premise, on read-only feeds from the systems you already run. No migration, and nothing leaves. And the guarantees are stated plainly, right below.
Model-validation and AI-governance standards designed in from the first commit: deterministic outputs, reproducibility, and evidence built for hostile inspection.
All processing runs inside your perimeter under your controls. Shared learning moves model parameters only, never records, and is optional per deployment: one member’s confirmed discovery can strengthen the next, without a record ever moving.
We would rather show you an honest roadmap than a borrowed badge. The full security overview and questionnaire responses are available on request, under NDA.
The product is built and measured against the hardest cases we can construct, and it is ready to deploy. We are working with a limited set of launch partners. The walkthrough is private, and it is worth asking for.
Become a launch partnerBuilt to the standards the work is judged by: SR 11-7, SS1/23 and the EU AI Act by design, UK GDPR, and a certification roadmap in progress. walabee is an AI and technology engineering company based in the UK.