AVA brings order from chaos. Providing reliable and actionable insight, it is an unique basis for developers and data scientists to come up with processes, solutions and answers that really matter.
AVA is constantly scanning all available data sources of relevance to public and personal safety.
AVA detects patterns in the incoming data, is self-learning and engineered for speed, scale, and resilience.
AVA delivers the generated location safety scores via APIs and dedicated user interfaces.
Looking at safety, crime and terrorism are the first things that often come to mind. But there is so much more to public and personal safety. That is why AVA tracks events including fire, natural forces such as weather or seismology, industrial disasters, healthcare, civil unrest, vandalism, animal-related risks and much more.
AVA monitors and analyzes information throughout the five pools of data. Merging, sorting, and structuring, patterns of relevance to public and personal safety are being detected and matched for richer context.
Safety is a matter of perception and context. A teenage girl usually feels less safe in a parking garage at night, than a professional kickboxer. That applies to “things” as well: In certain areas of most cities, a shiny, luxury sedan comes with a higher likelihood of becoming subject to vandalism, then an old and dirty pickup truck. AVA takes these differing realities into consideration and is, therefore, capable, to deliver personalized location safety scores.