See what others miss.
Find missing fields, weak narratives and inconsistencies while the work is still in progress.
Built in the UAE · For regulated finance
Raqib is the human-in-the-loop intelligence layer for AML teams—catching workflow errors before they become regulatory risk.
Explore ↓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.
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.
One screen. Four moves. Human in control.
Find missing fields, weak narratives and inconsistencies while the work is still in progress.
Turn every finding into a precise, on-screen action—no hunting through tabs or manuals.
Connect each warning to the policy context behind it, at the moment it matters.
Build a reviewable record of guidance and analyst action without taking control away.
The sovereign path
Raqib is designed for bank-controlled environments—not public chatbots. Your perimeter. Your policy. Your oversight.
Raqib suggests. The analyst decides. It never approves, submits or files on the bank’s behalf.
Findings surface context, severity and policy guidance—not a black-box answer.
A deployment path shaped for sovereign, on-premise and institution-controlled environments.
Guidance becomes a clear record for supervisors, governance teams and examiners.
“The machine can watch everything.
Only a human should decide.”
Proven first in KYC training workflows. Designed to extend across CDD, EDD, investigations and case narratives.
Raqib reviews the KYC form already in front of the analyst—without a new workflow to learn.
Findings are ranked with the context and policy needed to act confidently.
The analyst sees exactly where attention is needed and remains in control.
Each suggestion and action becomes part of a reviewable audit trail.
Built for Abu Dhabi. Ready for the GCC.
Start in a controlled training environment. Prove cleaner work, faster review and stronger governance—then scale with confidence.
Request a governed AI pilot ↗