For Financial Services

Syntheticr was purpose-built to improve the accuracy of financial crime detection models. This area is notorious for high false positive rates and unknown true positive rates. The primary reason is the lack of a reliable feedback loop mechanism to test and train models. Using convictions, prosecutions, SARs or alerts as training data is flawed and doesn't scale.

With AI new risks have emerged around bias, copyright, and the misuse of personal data. Syntheticr provides a quantifiable and safe feedback loop mechanism to test and train models. Whether you're developing, maintaining, buying or selling models, Syntheticr can help.