
Lees Summit, Missouri, United States
Software reducing incarceration and improving outcomes in criminal justice while saving taxpayer funds.
- Revenue
- $6.7M
- Customers
- -
- Year founded
- 2016
- Funding
- -
- Team size
- 32
- Growth
- -
As of May 2026, there are 5 SaaS companies in Crime Analytics Software. They have combined revenues of $48.9M and employ 111 people. They have raised - and serve 650K customers combined.
Crime Analytics Software is designed to aid law enforcement and public safety agencies in analyzing crime-related data to enhance decision-making and operational effectiveness. This software category primarily focuses on extracting insights from various data sources, allowing users to identify crime trends, predict potential criminal activity, and allocate resources effectively. Typical features include data visualization tools, geographic information systems (GIS) capabilities, and reporting functionalities that support strategic planning and operational responses. The software is commonly utilized by police departments, governmental agencies, and private security firms, all aiming to improve community safety and prevent crime. Buyers typically include crime analysts, law enforcement officers, and organizational leaders who require actionable insights from crime data to inform policy-making and tactical operations. The workflows may include data input from multiple sources, analysis of historical crime data, and the generation of detailed reports for law enforcement strategy development.
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Showing 10 of 2 companies ranked by annual revenue.

Lees Summit, Missouri, United States
Software reducing incarceration and improving outcomes in criminal justice while saving taxpayer funds.

Denver, Colorado, United States
ForceMetrics is a people performance analytics platform that empowers law enforcement with precision policing tools and technology, leading to safer communities. Founded by experienced first responders, it provides data analytics and decision support systems.
- The software must analyze and visualize crime data from various sources. - It should provide tools for identifying crime patterns and trends. - Must include reporting functionalities for actionable insights. - Should facilitate predictive analytics to forecast potential criminal activities. - Not limited to basic reporting; must also enable complex data analysis and visualization.
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