Automated Classification: AI could analyze descriptions, metadata, and context to categorize evidence into crime types (e.g., homicide, burglary, fraud).
Pattern Recognition: AI could identify connections between evidence types and specific crime types based on historical data.
Metadata Extraction: AI could extract key details (e.g., location, date, type of evidence) to assist in categorization.
Multi-Criteria Categorization: AI could classify evidence under multiple crime categories when applicable.
Searchable Organization: AI could tag evidence with relevant crime type labels, making it easier to retrieve for analysis or court proceedings.
Our mission is to inspire the forensic science community to explore how AI can transform their practice—enhancing reliability, efficiency, and decision-making while valuing transparency and trust
Transforming industries by delivering innovative AI solutions that drive success and create value for businesses of all sizes.
Transforming industries by delivering innovative AI solutions that drive success and create value for businesses of all sizes.
Transforming industries by delivering innovative AI solutions that drive success and create value for businesses of all sizes.
Transforming industries by delivering innovative AI solutions that drive success and create value for businesses of all sizes.