Modus AI

Every fraud leaves a shape.

Modus reads your entire network — entities, devices, money, time — and surfaces the shape of financial crime while it is still forming.

Welcome to the World of Graph Intelligence

PREPARE FOR DESCENT

One account. A whole world underneath.

Keep scrolling. You are about to fall into a single customer — then pull back, again and again, until the entire shape of a fraud reveals itself around you.

Scroll to ride
STOP 00 · THE WHOLE GRAPH

The entire network, at once.

Every account, device, company and payout Modus is holding in view — one continuous graph. Keep scrolling and the camera falls into it, stop by stop, until a single customer fills the screen.

Full network8 stops aheadDepth ×1
01 — Discover / The problem

Risk systems readone row at a time.A mule looks like a customer.A shell looks like a business.Line by line, everything clears.Only the connections give it away.

Row by rowNothing to flag

EntityCounterpartyAmount
User AMerchant 01₹4.2L
User BMerchant 01₹3.9L
User CZenith LLP₹5.1L
User DAtlas Prop.₹2.8L
User ZMerchant 01₹4.0L

Every row passes its own check. Same amounts, different names — no single line is suspicious enough to decline.

As a graphOne coordinated ring

Shared device. Shared address. Funds circling back to a single beneficiary. Five “unrelated” users are one ring.

02 — Connect / The engine

Introducing Modus Graph Intelligence

A graph-native AI system for risk & compliance. Knowledge graphs, graph neural networks, forensic money-flow tracing — running continuously across every entity, account and transaction you hold.

Graph-native, not rules Ring-level detection Traced to the beneficiary
03 — Map / Node explorer

Fly through the graph.

Every dot below is a real thing in your data — a person, a device, a company, an account. Step through them in order to see how Modus turns scattered records into one traceable network.

Fly through the graph.Live
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ENTITY · PERSON

Customer

One customer, one account — on its own, indistinguishable from a million others.

Customer — One customer, one account — on its own, indistinguishable from a million others.
Analyze — four ways to read the graph
METHOD 01

Knowledge Graphs

Link fraud entities & streamline investigations

Your data leaves the table and becomes a graph. Every customer, phone, address and merchant is a node — so shared attributes that read as coincidence in a spreadsheet surface as hard linkage an investigator can follow in one click.

Tabular → graphShared PII1-click investigation
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04 — Intelligence / The outcome

From single alerts
to whole schemes.

0%
More true fraud caught
Ring-level detection surfaces coordinated activity that per-transaction models score as clean.
Faster investigations
The linkages an analyst assembles by hand arrive pre-drawn — the case opens with the network already mapped.
Every hop
Funds traced end to end
From placement to the final beneficiary, across devices and addresses — the payout is followed, never lost.
Get started

Step into the network.

See Modus run against a live web of connected entities — and watch early-warning signals surface before exposure becomes loss.

© 2026 Modus AI Private Limited. All rights reserved.