PredPol’s cloud-based software enables law enforcement agencies to better prevent crime in their communities by generating predictions on the places and times that future crimes are most likely to occur.
PredPol’s technology has been helping law enforcement agencies to dramatically reduce crime in jurisdictions of all types and sizes, across the U.S. and overseas. Over the past year, Atlanta and Los Angeles have reduced specific crimes in targeted areas at rates ranging from nearly 20% to over 40%. Smaller jurisdictions, such as Norcross, Georgia, have seen nearly a 30% reduction in burglaries and robberies; in Alhambra, California, car burglaries have dropped 20% since the software technology was deployed.
Using advanced mathematics and computer learning, PredPol’s algorithms predict many types of crime, including property crimes, drug incidents, gang activity, and gun violence as well as traffic accidents. Only three pieces of data are used to make predictions – type of crime, place of crime, and time of crime. No personal data is utilized in making these predictions.
PredPol’s tool enables law enforcement to enhance and better direct the patrol resources they have. It does not replace, but requires, the insights of veteran officers and crime analysts.