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Real-time AI-powered AML and Sanctions screening with zero false-positive mathematical resolution.

FIQ (by Fincom) represents a paradigm shift in Anti-Money Laundering (AML) and Know Your Customer (KYC) operations through its proprietary 'Mathematical Resolution Engine'. Unlike traditional fuzzy-matching systems that rely on string similarity and produce high volumes of false positives, FIQ utilizes advanced phonetic-linguistic algorithms and cross-border data mapping to resolve identity discrepancies across 40+ languages and multiple scripts (Cyrillic, Arabic, Kanji, etc.) in real-time. By 2026, FIQ has positioned itself as the critical infrastructure for neo-banks, crypto exchanges, and global payment processors who require sub-second latency in compliance checks. Its architecture is designed to handle high-throughput transaction environments, reducing the operational burden of manual compliance reviews by up to 90%. The platform integrates seamlessly into existing core banking systems via a robust REST API, providing a deterministic approach to risk management that satisfies stringent global regulatory requirements including GDPR, SOC2, and FATF guidelines.
FIQ (by Fincom) represents a paradigm shift in Anti-Money Laundering (AML) and Know Your Customer (KYC) operations through its proprietary 'Mathematical Resolution Engine'.
Explore all tools that specialize in aml. This domain focus ensures FIQ delivers optimized results for this specific requirement.
Uses phonetic and linguistic vectors to match entities regardless of spelling variations, nicknames, or script differences.
Automatically transliterates non-Latin scripts (Arabic, Chinese, Japanese) into a standardized format for universal list comparison.
Continuously monitors changes in sanction lists and only re-scans entities affected by the specific updates.
Identifies Ultimate Beneficial Owners through complex corporate structure data layers.
Sub-200ms response times for individual name checks.
Creates a cryptographically signed log of every check and its resolution for regulators.
Differentiates between similar-sounding names that represent different unique individuals.
Access the Fincom Developer Portal and generate an API key for the sandbox environment.
Map your internal customer data schema (Name, DOB, Nationality) to the FIQ JSON input format.
Define geographic jurisdictions and specific sanction lists (OFAC, EU, UN, etc.) to be monitored.
Configure the 'Matching Threshold' parameters based on your institution's risk appetite.
Set up Webhook listeners to receive real-time asynchronous match notifications.
Implement the 'Search' endpoint for real-time customer onboarding screening.
Conduct 'Batch Upload' testing to verify system performance against historical data.
Perform cross-border linguistic testing to ensure non-Latin script names are resolved correctly.
Review the 'Audit Log' output to ensure compliance documentation meets regulatory standards.
Deploy to production and initialize the continuous monitoring sync for existing databases.
All Set
Ready to go
Verified feedback from other users.
"Highly praised by compliance officers for the massive reduction in false positives and the ability to handle complex international names."
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