Catch the mule ring
before the regulator does.
Real-time transaction scoring, graph-native ring detection, and a regulator-ready evidence pack your Principal Officer files in minutes. Built for India's Payment Aggregators and Payment Gateways.
A mule ring is already forming in your flow.
Your rule engine looks at one account at a time, so a coordinated network reads as a handful of unrelated alerts. The accounts move money, age out, and the ring stays invisible until a regulator asks why you missed it.
Drag the slider to reveal the hidden network.
A connected mule ring.
Isolated accounts. One flag.
Score it. See the ring. Hand RBI the proof.
Three moves, one webhook, no black box. MuleNet sits alongside the checks you already run.
Score it.
Every transaction gets a decision inside your authorization path: allow, hold, or block. Under 300ms p99, with the reason that fired.
See the ring.
Linked accounts, devices, IPs, and counterparties cluster into a live graph, so the mule farm a rule engine misses is visible at a glance.
Hand RBI the proof.
Each flagged case generates a regulator-ready PDF your Principal Officer files, backed by a tamper-evident audit log.
See the ring, not just the account.
A rule engine flags one account at a time. MuleNet builds a live transaction graph of accounts, devices, IPs, ASNs, and counterparties, so the mule farm shows up as a cluster you can see at a glance.
One device, ten accounts
A single device fingerprint linked to ten accounts surfaces as one cluster, not ten unrelated flags you triage by hand.
Datacenter ASN burst
Twenty fresh onboardings from one datacenter network overnight light up immediately, not weeks later in a report.
UPI pass-through chains
Handles funnelling money through pass-through accounts trace as a single flow, exposing the mule path end to end.
Built to catch mules and prove it.
Real-time scoring, graph-native ring detection, a regulator-ready evidence trail, and a one-day integration. Everything you need to stop mule rings and show your work.
Decisions before the money moves.
- Allow, hold, or block in under 300ms p99
- Every decision explainable to the rule that fired
- Sits in the hop you already use for fraud screening
Every customer makes you safer.
- Confirmed mule identifiers shared in real time
- Source tenants always masked
- PO sign-off required, entries TTL and revoke
When RBI asks, hand over a PDF.
- STR prep from a half-day to a coffee break
- Counterparty graph and FIU-IND red flags included
- Tamper-evident SHA-256 audit log
Live in a day, not a quarter.
- One HMAC-signed webhook, no SDK
- Two-role access: analyst investigates, PO confirms
- Row-level isolation, secrets encrypted at rest
Compliance-grade, without the crore.
Enterprise fraud platforms like Feedzai, NICE, and FICO were built for large banks. MuleNet was built for the segment where mule rings actually hide.
Built for one segment, on purpose.
Indian PA / PGs
Payment Aggregators and Payment Gateways operating under RBI's PA/PG framework.
A named Principal Officer
Your PO is a named compliance role, accountable for what your system catches.
10 lakh+ transactions a month
You process the volume where mule rings hide in the noise. You are in the zone.
Questions, answered.
No. You remain the Reporting Entity. MuleNet is decision-support: it scores transactions and prepares the evidence, while your Principal Officer stays in control of every filing.
About a day. You wire up a single HMAC-signed webhook, with reference implementations in Python, Node, and PHP. There is no SDK and no flag-day across your microservices.
No. Each flagged case generates a regulator-ready PDF your PO pastes into FINgate 2.0. We never touch your FIU credentials or file on your behalf.
Under 300ms p99. It fits in the same hop you already use for fraud screening, returning a score, an action, and the reason behind it.
In India. MuleNet is DPDP-aware with no biometrics and DSAR support built in, and every tenant's data is isolated at the row level.
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