An AI-enhanced trade surveillance system built for financial institutions that want to slash false positives, detect risk quicker, and enjoy complete regulatory confidence.
Thousands of alerts to review, overworked teams, and fragmented systems make it increasingly difficult to identify genuine market abuse. False positives consume valuable time, while evolving regulatory expectations increase scrutiny.
Designed for compliance teams at financial institutions, the platform uses highly configurable rules-based logic and advanced AI to surface meaningful alerts, streamline workflows, and support end-to-end surveillance programmes.
Rules-based and risk-based models work together to surface genuine threats while suppressing low-quality alerts.
Tried-and-tested rules-based logic is combined with AI-powered investigation to deliver context-rich, fully auditable insights.
Combine trade and communications data in one platform to build a complete view of suspicious behaviour.
Test and refine configurations using your own data before deploying changes to your live system.
Generate comprehensive reports and context-rich insights with full audit trails in seconds.
Visualise historical activity and build detailed, audit-ready reports for oversight and regulatory review.
Book an interactive demo to see how we can help you to manage your regulatory challenges in a more robust, streamlined and efficient way.
"We have been consistently impressed with eflow’s constant dedication to ensuring that our compliance needs are met. We would recommend them to any firm looking for a market abuse or best execution solution."
FREQUENTLY ASKED QUESTIONS
Is this suitable for firms of our size?
Yes – eflow’s technology has been engineered to scale based on your firm’s specific requirements. That’s why we’re the trade surveillance vendor of choice for organisations ranging from boutique investment firms to global banks.
Will it integrate with our existing systems?
Yes - eflow integrates with your existing data feeds, trading platforms, and compliance infrastructure.
How do we know it will reduce false positives?
Your system’s alert parameters can be configured to your specific requirements and are continuously refined using behavioural analytics and real-world data, helping improve alert quality.
