CORE is fully containerized, allowing for easy adoption into common cloud and edge environments. Due to the modular containerized setup, CORE in the cloud can be scaled horizontally and vertically.

Media objects are directed to CORE during or after processing in the existing platform, automatically classified based on the chosen AI classifiers, and tagged for review in the integrating platform’s frontend.

CORE uses a combination of object classifiers and metaclassifiers for CSAM detection. Trained on 3rd party CSAM data using image encodings. True positive detection rate over 80% with a false positive rate under 5% .Can be continuously retrained and improved using new encodings

CORE can be enabled to search for picture contents by describing them with natural language (text2image), or by providing a picture and searching for contextual similar images (image2image).

CSAM classifier with exceptional precision and recall. Unique classifiers for narcotics, weapons/violence outperforming others. Ability to add novel classifiers quickly and easily for specific use-cases.

Multi-lingual OCR, hash & PhotoDNA matching, face recognition from uploaded reference images, 2D pattern recognition (logos, art, bank notes, tattoos etc.)