Companies operating in the financial sector are heavily regulated. Their communications with the public may have to comply with rules governing broker-dealer communications or investment adviser advertising, or both. Financial regulations are critical as they safeguard investors and maintain the health of capital markets. However, compliance can be manual, time-consuming, and costly. If mismanaged, an organization can face reputational damage and hefty fines. Such regulations often require that any content meant for public distribution undergo review, tracking, and compliance verification. Saifr’s mission is to make regulatory compliance faster, less expensive, and more accurate via human augmentation. Saifr’s Noncompliant Image Detection Model is intended for use by companies operating in the financial sector, particularly those involved in broker-dealer communications and/or investment adviser advertising. The model is designed to assist compliance officers, legal teams, and marketing teams in identifying and mitigating risks associated with image content in public communications to help ensure the communications comply with regulatory norms.
Some examples of noncompliant images include:
Guarantees to grow wealth like a money tree
Promises to preserve capital, or indicates safe investments, like a piggy bank, secured bank vaults, or money saving jars
Shows graph that implies bull market with sharp exponential growth arrow icons.
If you need to access to the model artifacts, please contact contact@saifr.ai
