Have any question?
Schedule a Call
Have any question?
Schedule a Call
Detect fraudulent transactions, flag operational bottlenecks, and identify cybersecurity risks in real time using unsupervised machine learning and statistical modeling.
Rule-based risk systems (e.g., "Flag if amount > $5,000") create high false-positive rates that frustrate legitimate users while missing sophisticated fraud patterns.
Fraudsters quickly learn and bypass static rule thresholds, leading to financial chargebacks and security breaches.
We build adaptive machine learning models that analyze dozens of behavioral variables simultaneously, flagging anomalous deviations from normal baseline behavior in real time.
Transaction Fraud Scoring
Evaluate financial transactions in real time based on user history, velocity, geolocation, device fingerprinting, and behavioral biometrics.
Industrial Telemetry Anomaly Detection
Monitor IoT sensor feeds, temperature readings, and pressure telemetry to predict mechanical equipment failure before downtime occurs.
Network & API Security Monitoring
Detect unusual API call patterns, credential stuffing attempts, and data exfiltration spikes across your server infrastructure.
Compliance & Anti-Money Laundering (AML)
Algorithmically flag suspicious account structures, layering behavior, and anomalous transaction velocities.
150%
Reduction in Manual Workload
60%
Faster Decision-Making
3x
Improved Workflow Efficiency
40%
Task Automation Rate
A 6-week path from baseline ingestion to live real-time scoring.
Ingest baseline telemetry and historical transaction logs.
Train unsupervised and supervised anomaly detection models.
Benchmark precision/recall trade-offs to minimize false positives.
Deploy real-time scoring microservices with automated escalation webhooks.
Ingest baseline telemetry and historical transaction logs.
Train unsupervised and supervised anomaly detection models.
Benchmark precision/recall trade-offs to minimize false positives.
Deploy real-time scoring microservices with automated escalation webhooks.
Frequently Asked Questions
What if we have very few historical examples of fraud?
We utilize unsupervised anomaly detection algorithms (like Isolation Forests and Autoencoders) that learn what "normal" behavior looks like and flag anything that deviates from that baseline without needing thousands of labeled fraud examples.
How fast are transaction risk decisions made?
Our scoring microservices run in under 50 milliseconds, allowing them to evaluate payments within your active checkout flow without creating user lag.
Ready to Bring Enterprise-Grade AI into Your Operations?
Book a 30-minute discovery session with our engineering team to evaluate your workflows and identify your highest-impact AI opportunities.
RixDigi is an AI and workflow automation engineering agency building private, production-ready AI solutions for modern enterprises.
Services
Important Links
Rixdigi Locations:
United Arab Emirates
Office 408, 4th Floor, Al-Wasal Building, Dubai.
+971 (050) 3495669
Pakistan
Office 202, 2nd FLoor, Building #85, Shaheed-e-Millat Road, Karachi
+92 (030) 05002659
United States
923 Elm St, Unit #9, Manchester, NH 03101
+1 (603) 6145703