Platform
Onboard & screen
KYC and customer onboarding Document capture, chip read, liveness and face match in one request KYB and ultimate beneficial owner (UBO) detection Ownership structures resolved down to the beneficial owner Video customer calls Compliant interviews in-platform, agents allocated at random Sanctions, PEP and adverse media screening Sanctions, PEP, adverse media and your own internal lists Open source intelligence Risk caught in the press months before the official lists
Monitor & rules
Real-time transaction monitoring Every event scored before the transaction completes Real-time risk scoring A score per customer and transaction that moves with behaviour Fraud detection Device, behaviour and network signals read together Rule and scenario engine Nested logic, free aggregation windows and callbacks from a rule Rule sandbox & simulation See a rule's alert volume before it goes live Plain language rule writingAI Describe the scenario in your own words, approve the draft
Investigate & govern
Alerts & case management Alerts become cases with an owner, a deadline and evidence AI-powered case investigationAI Every alert arrives already read and reasoned Rules from past fraudAI Turn cases you have already lived through into rules Automated reporting SAR/STR drafts and no-code reports from the same data Maker/checker, authorization and audit trail Second-pair-of-eyes approval and an immutable audit trail
Solutions
By use case
Customer onboarding: identity verification, KYB and onboarding risk score Sanctions compliance: screening, match verification, and decision logging Payment screening: real-time sanctions checks Continuous monitoring: tracking post-onboarding behavior Account takeover: detection through session, device, and behavioral signals Bonus abuse and multi-accounting: seeing the connection Chargebacks and payment fraud: catching them before the dispute Source of funds investigation: documenting where the money comes from Regulatory reporting: suspicious transaction reports and case data Crypto wallet screening: querying address history Merchant onboarding: knowing the business and the person behind it Employee screening: internal controls and periodic renewal
By team
Compliance teams: bearing the responsibility of the compliance officer Fraud and risk teams: changing rules with your own hands Engineering: integration, event model, and deployment Internal audit: tracing decisions back to their source
By region
MASAK compliance: obligations, reporting, and suspicion categories AMLA and EU regulations: the direct supervision framework The Balkans: Compliance infrastructure in Montenegro and Serbia Middle East and North Africa: multi-country compliance deployment
By industry
MASAK compliance and transaction monitoring in banking Fintech: managing rapid growth and compliance burden simultaneously Payment account and balance risk in electronic money institutions Merchant risk and KYB in payment institutions MASAK compliance and customer risk in the gaming and betting sector MASAK compliance and wallet risk for crypto asset service providers MASAK compliance in e-commerce, merchant and buyer risk Credit and financing: identity and fraud risk at the time of application Client, debtor and receivable risk in factoring MASAK compliance in insurance, beneficiary and source of funds risk MASAK compliance and merchant risk in marketplaces Money transfers: analyzing sender, receiver, and their relationship MASAK compliance and ultimate beneficial owners in capital markets
TruvaLI AI
The model
TruvaLI, our compliance model Our own model for AML, fraud and compliance work TruvaLI technical report Data, training method, evaluation and the roadmap in detail
Community
Community and social responsibility A free model, built with compliance professionals Open TruvaLI AI Free chat with TruvaLI, with a daily usage limit
Resources
Read
Regulatory News and Compliance Updates for AML Teams MASAK, AMLA and FATF changes, written for implementers AML and Fraud Detection Whitepapers and Guides Longer pieces on monitoring design and case workflow
Build
Truvali API Documentation and Integration Guides Endpoints, event schemas and integration guides AML and Fraud Transaction Monitoring Rule Library Ready typologies to adapt to your own segments Compliance and Fraud Prevention Events and Webinars Sessions with compliance and fraud practitioners
Trust
Security, Compliance and Certifications at Truvali What each certification covers, and what it does not Truvali Compliance Mapping for Turkish Payment and E-Money Regulations How Truvali maps to Turkish payment and e-money IT regulation Data Residency and On-Premise Deployment for AML Compliance On-premise deployment and customer-owned data
Company
Company
About Bitrelic The team behind Truvali, in Manisa and Podgorica Careers at Bitrelic: Build the Future of Truvali Engineering, compliance and risk roles Truvali Press and Media Center Announcements and coverage
Work with us
The Truvali Partner Programme Resellers, integrators and referral partners Contact Truvali Support and Sales Teams Phone, email and offices Contact Phone, email and offices. Enterprise Support and SLA for Truvali Dedicated support tiers for enterprise deployments
Legal
Legal and Security Framework MSA, DPA and the Turkish regulatory annex Data Privacy and Security in Truvali How customer and end-user data is handled Truvali API Status and System Availability Live availability of platform services
Resources
Blog
TruvaLI AI

Contributors

TruvaLI learns its judgement from people who do compliance and fraud work for a living. The professionals below shared anonymised cases, corrected the model or reviewed its answers. Every accepted contribution becomes training data for the next version.

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