“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
- The Atlanta, GA Police Department saw aggregate crime drop 19% five months after deployment
- 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 patent-pending technology forecasts highest risk times and places for future crimes. The program complements officers’ intuition by targeting place-based prediction “boxes” as small as 500' by 500'.
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 only three data points in making predictions: past type of crime, place of crime and time of crime. It uses no personal information about individuals or groups of individuals, eliminating any personal liberties and profiling concerns.