Platform · tools

The capabilities every product draws on.

Seven agentic specialists, a knowledge hub that compounds with every closed case, and a crypto rail that sits on top of your chain-analytics provider. This is the shared machinery beneath every Corrobo product: agents gather and corroborate, the deterministic engine still makes the call.

Seven agentic specialists on the bench.

The agentic bench · seven specialists

Playbooks, not improvisation.

Every agentic investigation follows a fixed playbook: plan, gather, match, write, verify. The agents work only at designated steps, on an audit trail that cannot be edited after the fact.

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When the rules are confident, the model is never called at all.

That is not a limitation. It is the feature your regulator will ask for.

The rules · nine packs

Nine readable typologies. Every threshold versioned.

Structuring, rapid pass-through, dormancy-activation, mule fan-in and fan-out, high-risk exposure, large cash, new-account velocity, and two packs for virtual-asset firms. Every rule readable by an MLRO; every change backtested and signed before it activates. Alongside them, the baselines: each customer's own normal, learned across eight time windows. The bar is 'unusual for this customer,' not 'unusual in general.'

9 PACKS MLRO-SIGNED 8 BASELINE WINDOWS BACKTESTED

Money mules · two lenses

Rules read the transaction. The model reads the customer.

A mule account rarely fails one rule loudly. It fails a shape — money from senders with no reason to know each other, out faster than it came, through an account whose history says none of this is normal. Corrobo runs both lenses over the same customer and shows you each one’s working.

Event-level rules

Fan-in and fan-out, dormancy reactivation, velocity, structuring — readable by an MLRO, versioned, backtested and signed before anything activates.

Customer-level mule risk

A calibrated score on the customer, over five feature groups — transaction patterns, demographics, network, temporal, device and channel — across 7/30/90/180-day windows. Credit-to-debit imbalance, a short window pulling away from the long one, dormant accounts waking, fresh accounts fanning in. A quiet account can score harder than a busy one.

It surfaces. It never decides.

A score is a candidate, not a verdict. The model abstains when the evidence is thin; every score decomposes into feature-level evidence an analyst reads and an MLRO signs. Nothing here blocks a payment.

A score you can take apart.

Every alert carries its attributions — which feature groups moved the score, in which direction, against which window. The narrative is written from those attributions and nothing else, and the Verifier checks every sentence against the record it cites. No black box, and no figure an analyst cannot open.

5 FEATURE GROUPS 4 WINDOWS · 7/30/90/180D CUSTOMER-LEVEL ABSTAINS WHEN UNSURE MLRO-SIGNED

Two numbers, not one.

False-positive reduction says what your analysts stopped reading. Yield — the share of reviewed alerts that turn out to be true positives — says what the reading was worth. A customer-level lens can raise alert volume and raise yield at the same time: the extra alerts are mules the rules never fired on.

Peer-reviewed production results published by a major Singapore bank report mule-alert yield of roughly 60% under rules alone against roughly 90% with a customer-level model — published evidence for the approach class, not a Corrobo measurement. Our figures come only from pilots on your own book.

India: beside MuleHunter, not in front of it.

RBIH’s MuleHunter.AI is rolling out across banks, and the Ministry of Home Affairs has directed financial institutions to integrate with the platform by December 2026. Corrobo is complementary and integration-ready: a MuleHunter flag arrives as one receipted evidence source, and Corrobo supplies what a flag alone does not carry — investigation, narrative, disposition and the audit trail a regulator asks for afterwards.

Corrobo is not affiliated with, endorsed by, or a partner of the Reserve Bank Innovation Hub or the MuleHunter programme.

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Digital assets · crypto screening

Now the chain, too.

The same agentic investigation, extended to virtual assets. Corrobo is the sovereign decision layer on top of your blockchain-analytics provider (Chainalysis, TRM, Elliptic), never a replacement for it. Agents pull wallet and transaction risk as evidence; the deterministic engine fuses it with the fiat side of the same customer; your analyst holds the pen. We make every chain-analytics licence in the Gulf more valuable.

Sovereignty holds: only public on-chain identifiers (wallet addresses and transaction hashes) ever leave the perimeter. Customer identity and fiat data never do. Built for the ADGM-licensed VASPs and the Gulf banks that service them.

The capabilities. Now the products.

These tools power eight products across fiat and crypto. See how they come together on one governed flow.