Intelligent Reporting
The AviaTor Project
It is clear that reports of Child Sexual Abuse Material (CSAM) – from industry, the public and NGOs – are labour-intensive to process.
AviaTor, which stands for Augmented Visual Intelligence and Targeted Online Research, is an efficient tool that helps you prioritise all aspects of NCMEC reports so that you can focus on identifying perpetrators and saving victims.
Reduce the time spent by law enforcement agencies with AviaTor. AviaTor was developed for law enforcement with the support from 16 law enforcement agencies across Europe.
Start using AviaTor's automation and intelligence to support your law enforcement's processing, assessment and prioritisation of Child Sexual Abuse Material (CSAM) reports.
There are Law Enforcement Agencies (LEAs) that are currently having to use temporary solutions to classify and prioritise cases of Child Sexual Abuse Material, which is a short term-fix.
AviaTor is the long-term solution that can automatically crawl online sources for additional information for investigations in accordance with the national legal requirements.
The National Police of the Netherlands have been using the first version of the AviaTor tool since December 2019.
AviaTor Demonstration
If you are a law enforcement agency representative and are interested in learning more about this project sign-up for a demo. Our technological partners will reach out to you in order to better understand your current landscape of processing CSAM reports.
We want to hear from you!
Latest Updates
Law enforcement agencies receive a rapidly growing number of reports on online child sexual abuse material. In 2018, the industry, the public and NGOs generated more than 18 million CSAM reports: almost the double of 2017.
These reports are labour intensive to process. The AviaTor project — Augmented Visual Intelligence and Targeted Online Research —, funded by the European Union’s Internal Security Fund – Police, aims at developing automation and intelligence tools to greatly reduce the time spent by LEAs in processing, assessing and prioritizing these reports. These tools combine artificial intelligence techniques, used to investigate the content, with the capability to carry out targeted online research for open source intelligence.
Our software was developed from a research project into a working prototype in just 12 months. By using expert insight gained from extensive interviews with the Dutch and Belgian police, it was possible to establish how to best process NCMEC referrals.