NYPD Patternizr Software Helps Police Officers Solve Crimes More Quickly

NYPD Patternizr Software

Introducing NYPD Patternizr Software

This article provides an overview of the NYPD Patternizr software developed by the New York City Police Department. First, here’s a little bit about the largest police department in the world.

More commonly known as the NYPD, it is the primary law enforcement agency in New York. The department employs more than 35,000 police officers and 19,000 civilians in other positions. Indeed, this is a massive police force, but remember that it is responsible for policing the largest city in the United States, home to more than eight million people. Yet, the city boasts one of the lowest crime rates in the U.S.

Overall, the agency consists of 77 precincts located throughout the city. Structurally, numerous bureaus within the department contain enforcement, investigative, and administrative functions. Visit the official website for more information.

Patternizr software unleashes the power of pattern recognition.

The New York Police Department (NYPD) uses a pattern-recognizing software tool called Patternizer. Over two years, the NYPD developed the tool in-house with data scientists and developers. It uses algorithms, machine learning, and artificial intelligence to recognize crime patterns. Industry experts consider the method “predictive policing,” although they consider the practice unfair.

To help “train” the system, the department used more than ten years of patterns identified manually by officers with deep experience. The department began utilizing the tool in 2016 but recently disclosed its use.

The NYPD Patternizr Software tool helps police officers search hundreds of thousands of case files. It helps identify (much more quickly than digging through case files manually) similar cases and crime patterns for ten other cases. Then, it assigns a score between 0 and 1 based on how strongly the software believes the cases match the “seed complaint.” Of course, the officer or analyst must review the results and decide whether they are related. Next, if the decision is made to link particular crimes, the analyst refers the crimes to a detective for follow-up. Often, the process helps make connections that officers, detectives, and analysts wouldn’t have otherwise known about.

Types of Information in the Database

  • Case files and police reports on millions of crimes
  • Crimes include larcenies, robberies, and thefts.
  • Methods of entry (such as in a robbery)
  • Types of property or items stolen
  • Geographic distance between crimes
  • Complaints

As a result, the software helps individual officers and investigative teams work more efficiently. It saves time by automating otherwise manual processes. Ultimately, this helps solve crimes more quickly. Unfortunately, the databases don’t include information on homicides and rapes. Detectives use traditional methods to identify links and possible relationships in those cases.

Summary of Benefits

The use of the NYPD Patternizr software helps the department in several ways:

Streamlining Crime Analysis: One of Patternizr’s most significant advantages is its ability to automate and streamline the crime analysis process. Traditionally, human analysts manually sift through mountains of data to identify patterns. However, this process is time-consuming and can be prone to oversight or biases. Patternizr eliminates these limitations by efficiently scanning and correlating data from multiple sources, rapidly detecting patterns across various crime types, locations, times, and other relevant factors.

Other general benefits:

  • Less busy work. Detectives can spend their efforts analyzing the patterns rather than identifying them. This results in less leg work and reduces the time required to solve a case.
  • Much greater efficiency. The algorithm helps police officers connect and identify patterns across the city rather than just their precinct.
  • It makes connections more quickly. The pattern recognition feature makes connecting and identifying linked crimes and incidents easier.
  • Broader geographic focus. Using the new system requires the same amount of effort (very little) to search case files in a single precinct, multiple locations, or the entire city.

Ethics and Data Privacy

While the application of advanced technologies like Patternizr holds immense potential, it is essential to address concerns related to data privacy and ethical considerations. The NYPD has taken proactive measures to ensure the responsible use of the software, safeguard sensitive information, and adhere to legal and ethical standards. Strict protocols and oversight mechanisms are in place to guarantee individuals’ privacy rights and prevent any data misuse.

Other Software Solutions

Although the NYPD was the first department to develop software like this, it shared the information in the INFORMS Journal on Applied Analytics to help educate other law enforcement organizations on how they may develop similar solutions. The department has a long history of developing its crime-fighting solutions. The NYPD developed the CompStat computer system. Primarily, CompStat, which is short for comparison statistics, tracks crime geographically. Today, law enforcement departments throughout the United States and Canada use CompStat to examine crime in their area.


The NYPD Patternizr software represents a remarkable stride in leveraging technology to combat crime. By automating crime analysis, providing valuable insights, and streamlining investigations, Patternizr has proven instrumental in enhancing public safety and reducing crime rates. As law enforcement agencies continue to embrace innovative solutions, the future holds immense potential for transforming crime-fighting strategies and creating safer environments for all.

Questions and Comments

Please comment below if you have any questions or comments about the NYPD Patternizr Software.

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Michael Kissiah is the owner of Brandy Lane Publishing, LLC, which owns and operates a small portfolio of websites, including eInvestigator.com. Michael created eInvestigator.com more than 20 years ago after working as a private investigator in the state of Florida. Since that time, he has become an expert at how to find information online and has written over 1000 articles on topics related to the investigation industry. In addition, he is the author of the "Private Investigator Licensing Handbook", available at Amazon.com.


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