Best RegTech Software for Freelancers - Page 5

Find and compare the best RegTech software for Freelancers in 2026

Use the comparison tool below to compare the top RegTech software for Freelancers on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Bureau van Dijk Review Reviews
    Our Review solution evaluates and tracks both individuals and entities based on your specific risk profiles and preferences, enabling you to make swift and trustworthy choices regarding potential business partnerships. It utilizes our extensive risk profiles and events database, known as Grid. By integrating data, technology, and human insight, Review delivers accurate outcomes while substantially minimizing false positives. Additionally, Review supports your adherence to international anti-money laundering (AML) and know your customer (KYC) regulations, ultimately enhancing your decision-making process and safeguarding your business from connections to financial misconduct. This comprehensive approach ensures not only compliance but also fosters trust in your business relationships.
  • 2
    Tookitaki Reviews
    Tookitaki Anti-Money-Laundering Solutions: Adding power to your Compliance Lens Reduces false alarms by at least half for transaction monitoring programs. Reduces false alarms by at least 60% in screening programs. Reduces risk by increasing detection of true suspicious cases (SAR/STR), by 5%. Alerts are prioritized and handled more efficiently. Continuous automatic learning ensures high detection coverage in the face of growing data and changing regulations. Complex machine learning models and their outcomes are explained in an easy-to understand manner. Integration to existing and future up/downstream systems of the FI is easy with built-in connectors. Transaction Monitoring: We provide secondary scoring for the transaction monitoring process. Our semi-supervised approach is based on our proprietary semi-supervised method. It combines multi-dimensional unsupervised methods, network analysis, and supervised learning.