“I’m not going to get more money. I’m not going to get more cops. I have to be better at using what I have, and that’s what predictive policing is about… If this old street cop can change the way that he thinks about this stuff, then I know that my [officers] can do the same.”
-Los Angeles Police Chief Charlie Beck
Help communities reduce crime by predicting and preventing it. Jurisdictions large and small have seen dramatic reductions in crime since deploying PredPol:
- LAPD 's Foothill division saw a 20% drop in predicted crimes year over year from January 2013 –2014
- Atlanta Police Department's aggregate crime decreased by 8% and 9% in the two areas that first deployed PredPol in July 2013
- Modesto, CA PD just reported the lowest crime rates in 3 years since deployment in January 2014
- The Norcross Police Department saw a 15-30% reduction in burglaries and robberies, just four months after it deployed the technology in August 2013
- Alhambra, CA PD reported reported a 32% drop in burglaries and a 20% drop in vehicle theft since deploying in January 2013. The city reported its lowest month of crime in history in May 2014
Law enforcement agencies nationwide are facing budget freezes and deep cuts, requiring them to manage their resources more effectively while still responding to public demand for crime prevention and reduction.
PredPol’s patented technology forecasts highest risk times and places for future crimes. The program complements officers’ intuition by targeting place-based prediction areas, depicted in 500 feet by 500 feet boxes on maps, that are automatically generated for each shift of each day.
In contrast to technology that simply maps past crime data, PredPol applies advanced mathematics and adaptive computer learning. It has resulted in predictions twice as accurate as those made through existing best practices by building on the knowledge and experience that already exists. PredPol uses no personal information about individuals or groups of individuals, eliminating any personal liberties and profiling concerns.