Eliminate your AML backlog
SEEYA
Onboard fast, automate monitoring, scale without overhead
#1 choice for highly regulated businesses
AML, supercharged
Up to 90% shorter
due diligence time
Strise customers report cutting due diligence time from hours to minutes
Cut costs by 30%
in software spend alone
Customers report moving from using 4+ tools to having everything in Strise
3X productivity
with 70% fewer FTEs
Strise clients work 3x faster with 70% fewer resources, thanks to automation
Start your new AML journey
Faster onboarding and
audit-proof reports
Get the full picture of your customers, reduce client outreach, and speed up onboarding while replacing multiple searches.
Strise automatically collects all the insights your team needs and documents everything into a finished and audit-proof report.
Strise automatically collects all the insights your team needs and documents everything into a finished and audit-proof report.
Strise saves us a considerable amount of time per customer onboarding.
Mitigate customers' hidden network risks
Strise unveils hidden risks in your customer network by utilising advanced AI and graph models.
Intricate connections and risky patterns are revealed and highlighted by connecting relationships across millions of entities.
Intricate connections and risky patterns are revealed and highlighted by connecting relationships across millions of entities.
With Strise, we enhance our TM and detect suspicious transactions before they even happen.
Stay compliant with perpetual monitoring
Strise simplifies ongoing customer due diligence (pKYC/pKYB) by automatically monitoring essential changes in customer profiles.
It assesses the risk level of each case, swiftly addresses low-risk situations, and concentrates on high-risk scenarios for a more thorough examination.
It assesses the risk level of each case, swiftly addresses low-risk situations, and concentrates on high-risk scenarios for a more thorough examination.
Strise helps us work more efficiently by automating repetitive processes, reducing costs, and enabling a more risk-based approach.
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