Threadline
Our dual-engine AI platform combines millisecond-speed anomaly detection with
Graph Neural Networks to expose the criminal networks legacy systems never see.
False positives eliminated
Real-time transaction block
Network context coverage
Different Financial Crimes Demand Different Weapons. Our Platform
Fields Both Simultaneously
Every Transaction Enters
The Dual-Engine Pipeline In
Real Time
Point Anomaly Scored In
Single-Digit Milliseconds
Against Behavioral Baseline
Anomaly Score Fed Into
GNN, Entire Financial
Neighborhood Mapped
Pattern, Speed & Network
Evaluated Simultaneously
For Surgical Precision
Block, Flag Or Pass, With A
High-Confidence, Auditable
Explanation
Dual-Engine Technology
You cannot catch a microsecond card swipe with the same methodology used to
unravel a month-long multinational laundering scheme. We field both.
Lightning-Fast Fraud Prevention
For real-time transactional fraud: Account Takeovers, stolen card swipes,
credential abuse. Speed is everything. Our tree-based ML models
establish a pristine behavioural baseline for every customer and detect
deviations in single-digit milliseconds.
Point anomaly identification on tabular transaction data Individual customer behavioral baselines — always up to date Blocks suspicious transactions before funds leave your Deep Network Context
Organized criminals make individual transactions look normal to defeat
point-anomaly models. Our GNN maps your entire banking ecosystem as
a dynamic, interconnected web — exposing who is moving money, and
the full network behind them.
Advanced link analysis across all accounts and counterparties Behavioral neighborhood scoring — not just individual account Exposes synthetic identities, mule networks & laundering ringsLegacy systems force a choice between speed and intelligence. We refuse that trade-off.
We feed anomaly scores from our rapid tree-based
models directly into our Graph AI. The system catches the
pattern, the speed, and the network simultaneously — not
just a single transaction over an arbitrary threshold.
Traditional ML relies on static account features — the
result is paralyzing false-alarm rates up to 95%. By training
on both behavioral deviations and holistic network
topology, we give your team fewer alerts that actually
matter.
Fraudsters constantly evolve to evade known rules.
Because our models learn the fundamental mathematical
shapes of illicit money movement — not blacklisted
accounts — we identify brand-new laundering rings the
moment they form.
Surgical precision in true-positive catch rates means your
legitimate high-volume business clients and retail users
transact freely — no unnecessary compliance holds, no
frustrated customers, no brand damage.
Invisible to flat rules
GNN exposes entire network
Seconds to minutes latency
Single-digit milliseconds
Up to 95% false alarms
Dramatically reduced
Requires manual rule update
Detects on mathematical shape
Not addressed
Exposed via link analysis
Rule logs only
Explainable AI decisions
Regulators and card networks are demanding more sophisticated, highly responsive monitoring. Don't wait for a costly audit or a massive fraud loss to upgrade your defenses. Move beyond the spreadsheet.