Redefining Fraud Detection with
eXplainable AI

Don’t fight fraud alone!
Let us fight fraud together!

The problem which we are addressing:

  • Potential loss of money due to inaccurate
    and late decisions in fraud detection
  • More false-positives
    -> More manual reviews -> More time consuming
  • Confusion due to lack of transparency in results
  • Loss of trust with stakeholders & customers
    -> Customer friction & attrition
  • Legal and Ethical non-compliance

The solultion we are offering:

  • Accurate and faster fraud detection
  • Explanations on 'why' and 'how'
    models made its decisions
  • Reduced % of false-positives
  • Model optimization for better decision-making
    using previous explanations
  • Delivers trust and reduces customer friction & attrition
  • Comply with accountablity

With our solution, you can

Prevent Fraud

Our multimodal approach has ahigher accuracy and fasterprocessing time when compared with other traditional methods and unimodal based products in the market

Build Customer Trust

Reducs fale positives, provide customer protection guidlines, and foster customer trust

Improve Productivity

With visibility and explanation into the 'why' behind fraudulent transactions, improve productivity and increase revenue

Reduce Costs

Resolve alerts faster, reduce costs in manual reviews, and increase robustness of fraud detection models

How we differ:

Features Current models (Rule-basd/supervised/unsupervised) Diddle AI (Multimodal learning AI with eXplainability)
Accuracy Upto 60% Upto 99.99%
Speed Undefined Real-time (Within 1ms)
Explainability No Yes
Algorithm/Models Transaction Monitoring Investigation Reporting
Rule-Basesd Models
Supervised
Unsupervised
Multimodal
Degree of Matching:
- Low
- Medium
- High