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Learning Engine

The Learning Engine enables CRYMBO's AI layer to improve over time based on network-wide compliance activity, regulatory updates, and institutional feedback.

What the Learning Engine Does​

  • Identifies patterns in compliance activity across the Oracle network
  • Optimizes field recommendations based on which field sets produce the fastest, most compliant outcomes
  • Refines risk scoring based on historical transaction data and compliance results
  • Detects anomalies that may indicate emerging compliance risks or regulatory gaps
  • Improves response times by optimizing validator routing and consensus mechanisms

Privacy Protections​

The Learning Engine operates on aggregated, anonymized data — it never accesses raw PII or institution-specific compliance records. Learning is performed on:

  • Transaction volume and pattern data (anonymized)
  • Compliance outcome distributions (compliant/non-compliant ratios)
  • Regulatory rule activation frequency
  • Validator performance metrics

Feedback Loop​

Institutions can contribute to the Learning Engine by:

  • Reporting false positives or false negatives
  • Providing feedback on AI recommendations
  • Sharing anonymized compliance outcome data (opt-in)