We make cities smarter by making data on crime accessible & easy to understand. We organize and sort millions of Open-Data and public police crime-reports as they happen. helping you make the right decisions on where to buy a new home, choose the right hotel for your next holiday or just curious about what the safety profile is on your current location.
Millions of police reports, OpenData & local intelligence
crimeAI is mapping and analyzing crime trends around the planet. The key is to make a vast amount of public data as accessible and easy as possible to understand and deploy for both companies and citizens who live & operate in areas where War, High Crime & terrorism might be of concern, especially in industries like Security, Insurance, Hospitality, and Navigation.
Advanced AI algorithms
Our rating system is based on Advanced AI algorithms that evaluate the severity of crimes in your area, the size of the city you live in and various other parameters. together they produce a score that we use to define an areas safety score. – The data we analyze are only based on street level crime, not accidents, fire or environmental issues.
CrimeAI now works with ShadowData
– Getting a 360 view of current crime stats today, very much relies on good official crime statistics published by local police departments. But sometimes crimes go unreported for various reasons. This is why we have added ShadowData that scours newsfeeds, Social media & Message threads for crimes, that do not have an obvious sibling – in official crime-datasets.
Segmented Crime types
Filtering data from multiple sources, we have created 20+ different crime categories making it easy to extract data based on keywords and categories
Shadow/Social Media Data
Ofiicial Crime Data lacks shadowdata, at crime.ai we include public metadata from social media which is analyzed and added
Crime is not static, At crime.ai we analyze crime trends and apply crime trend-scores to streets and areas. visualizing areas that are trending positively and others negatively
We can analyze hyperlocal trends, meaning that crime on one end of the street can vary from block to block, this is why hyperlocal crimemapping creates more accurate data.