Transaction Ingested
Automatically analyze inputs and transform them into
Our dual-engine AI platform combines millisecond-speed anomaly detection with
Graph Neural Networks to expose the criminal networks legacy systems never see.
> KEY VALUE
Your compliance and fraud teams are exhausted chasing ghosts, your legitimate customers are frustrated by blocked transactions, and the real criminals slip right through the cracks.
Different financial crimes demand different weapons. Our platform fields both simultaneously
Automatically analyze inputs and transform them into
Create flexible workflows that adapt to your data,
Generate consistent, high-quality results that you can
Automatically analyze inputs and transform them into
Create flexible workflows that adapt to your data,
DUAL-ENGINE TECHNOLOGY
Our platform utilizes a highly sophisticated, two-tiered Machine Learning architecture to protect your institution from both sudden point anomalies and complex structural attacks.
You cannot catch a microsecond card swipe with the same methodology used to unravel a month-long multinational laundering scheme. We field both.
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.
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.
LEGACY SYSTEMS VS. THREADLINE
Legacy 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 paralysing false-alarm rates up to 95%. By training on both behavioural 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.
Smurfing / mule network detection
Real-time transaction blocking
False positive rate
Zero-day / novel fraud tactics
Synthetic identity detection
Regulatory audit trail
Invisible to flat rules
Seconds to minutes latency
Up to 95% false alarms
Requires manual rule update
Not addressed
Rule logs only
GNN exposes entire network
Single-digit milliseconds
Dramatically reduced
Detects on mathematical shape
Exposed via link analysis
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.