Company risk monitoring table showing Whale Wealth Management AS, Fraudulent Fox Accounting Ltd., and Loan Shark AS with red and yellow warning icons, country flags, and qualification status
Adverse media screening dashboard showing recent news headlines about fraud, corruption, illegal ship scrapping, and environmental crime.
#1 choice for leading regulated businesses
Cut remediation costs by 85%
The cost of KYB remediation is the 100 analysts you have to hire to run it. Strise lets you complete the same 10,000-case remediation with a core team of 5 by automating the data chasing that usually kills the budget.

Analysts are paid to decide, not chase data

Manual registry lookups, “email tennis” with clients, copy-pasting between systems, and opaque jurisdictions fragment data and stall onboarding.

Strise uses AI to collect data, resolve ownership, and unify everything into one living customer record, replacing weeks of data chasing with fast, consistent decisions.
Company profile view for Shady Sharks showing compliance checks, credit score with 14-day payment remark, and CEO listed as Corruption Carlson with warning alerts.
Strise saves us a considerable amount of time per onboarding.
Ragnhild Georgsen, Head of AML & Sanctions, Sparebanken Vest

Kill static risk snapshots in spreadsheets

Point-in-time risk snapshots are outdated the moment they are saved, missing material changes between KYB reviews.

Strise applies your AML policy instantly, clearing low-risk cases, flagging complex ones early, and continuously updating risk with full context as changes surface.
Risk flags with warnings about owner being sanctioned, PEP status, high-risk individual association, multiple high-risk companies, and significant employee decrease.
With Strise, we enhance our TM and detect suspicious transactions before they even happen.
Endre Jo Reite, Director of Personal Markets at BN Bank

Unmask opaque ownership with AI

Opaque structures and cross-border entities turn ownership into a data jigsaw, forcing analysts into manual keying and hand-drawn ownership trees that hide control and risk.

Strise uses AI to read registry PDFs and complex reports, resolve UBOs automatically, and map nested structures into clear, reliable ownership, without manual diagramming.
Mitigate customers hidden networks
Strise helps us work more efficiently by automating repetitive processes, reducing costs, and enabling a more risk-based approach.
Silke Øverby, Chief Risk & Compliance Officer, Vipps MobilePay

Secure, auditable, and explainable

Strise offers a secure, SOC 2 certified environment, featuring auditable AI models and rules. We ensure data protection, GDPR compliance, and safe user experiences.
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Success stories
How fintech giant Vipps MobilePay made AML Automation a winning strategy
How Sparebanken Vest cuts manual AML data sourcing and speeds up case handling
How BN Bank reduces false positives by 30% and speeds up onboarding by 70%
How SpareBank 1 gets full client insight: pre-linked, analyst-ready data