Emirati leader entering a monumental shield-shaped maze overlooking Abu Dhabi

Built in the UAE · For regulated finance

Governed AI belongs inside the bank.

Raqib is the human-in-the-loop intelligence layer for AML teams—catching workflow errors before they become regulatory risk.

Explore
Human decides Raqib watches The bank stays sovereign Human decides Raqib watches The bank stays sovereign
02 The missing layer

Banks built systems to watch transactions. Raqib watches the work around them.

Every blank field. Every evidence mismatch. Every avoidable gap. Seen at the point of work—before review, before rework, before risk.

رقيب THE WATCHER
03 Intelligence at the point of work

From uncertainty
to clear action.

Raqib reviews KYC work on screen, surfaces what needs attention, adds policy context and guides the analyst to the exact fix. The final decision never leaves human hands.

PRODUCT IN MOTION

One screen. Four moves. Human in control.

R RAQIB TRAINING MODE
ON-DEVICE REVIEW
CASE WORKSPACECustomer due diligence
AE–2048
FULL LEGAL NAME Ahmed Al Mansoori
NATIONALITY !
SOURCE OF FUNDS Employment income
EMIRATES ID 784–1990–•••••••–1
EVIDENCE MATCH Emirates ID ↔ form Name matched ID matched ! Nationality missing
AUDIT TRAIL EXPORTEDEvery suggestion. Every analyst action.
.TXT ↗
On-device OCR Identity document matching Click-to-point guidance Local audit export Never auto-approves
01

See what others miss.

Find missing fields, weak narratives and inconsistencies while the work is still in progress.

02

Point to the fix.

Turn every finding into a precise, on-screen action—no hunting through tabs or manuals.

03

Put policy in the flow.

Connect each warning to the policy context behind it, at the moment it matters.

04

Remember every step.

Build a reviewable record of guidance and analyst action without taking control away.

A luminous path through a shield-shaped green maze in Abu Dhabi

The sovereign path

Your customers’ data
is not an AI test case.

Raqib is designed for bank-controlled environments—not public chatbots. Your perimeter. Your policy. Your oversight.

04 Control is the product

AI a regulator
can understand.

01

Human oversight, always

Raqib suggests. The analyst decides. It never approves, submits or files on the bank’s behalf.

02

Explainable by design

Findings surface context, severity and policy guidance—not a black-box answer.

03

Built for your perimeter

A deployment path shaped for sovereign, on-premise and institution-controlled environments.

04

Auditability as a default

Guidance becomes a clear record for supervisors, governance teams and examiners.

Emirati banking leader reviewing transparent information panels
05 / HUMAN IN THE LOOP
“The machine can watch everything.
Only a human should decide.
06 One loop. Across the AML desk.

See. Guide.
Prove.

Proven first in KYC training workflows. Designed to extend across CDD, EDD, investigations and case narratives.

01

Scan the work

Raqib reviews the KYC form already in front of the analyst—without a new workflow to learn.

02

Surface the risk

Findings are ranked with the context and policy needed to act confidently.

03

Guide the fix

The analyst sees exactly where attention is needed and remains in control.

04

Leave the evidence

Each suggestion and action becomes part of a reviewable audit trail.

Built for Abu Dhabi. Ready for the GCC.

Put a watcher
on every AML desk.

Start in a controlled training environment. Prove cleaner work, faster review and stronger governance—then scale with confidence.

Request a governed AI pilot