We have developed the If Mobile application, which allows customers to easily access their insurance service by using biometrics. It is a “hybrid” mobile application, which offers the full functionality of our web service, with native login and navigation optimisations. 

Our Nordic customers have download it an amazing 700,000 times and it accounts for up to 40% of all logins to our digital self-services.  

The developed system called Nat Cat (Natural Catastrophies) reads data about hurricanes and shows where the risks are. Using those data we can do preventive measures for global industrial clients, helping them to make the safest decision on developing their businesses.

Mobile app for Volvia Sweden. The Volvia mobile app is mainly a dispatcher to web sites where customers can report claims and get contact information to Volvia customer center. 

The solution is built on Microsoft Xamarin. Volvia Försäkringar is the publisher for both the Apple and Google version.

Is there a way to ease reporting a claim if you get into an accident or need assistance? Yes ... When you drive a Polestar. We are the first insurance company in the world to integrate an insurance app into the cars infotainment system. The app helps you understand what to do next if something happens and if you request a tow truck by the Polestar Connect button in the car, it provides a count down till arrival. The solution is built on Android Automotive OS.

When a car accident happens, the people involved have to become artists, literally. By taking a paper, pen and starting to draw the accident scene.

Shouldn't there be Tech for that? We came up with a solution and created a digital tool called Clear Crash where you can choose a road template, add different icons on the template that illustrates their own vehicle, counterpart, arrows etc. As a result, it's easier for the customer and for us to handle claims.

We all know that doing manual work like handling paperwork, for example, is slowly becoming the past. And for us it is a big part of the job as well; therefore, we created Tech by using Microsoft Cognitive services to read text from images and our own solution to "understand" content. It is now used on the If Mobile application and can recognize the total amount of the service fee, the service provider's registration number and name, date and time, personal identity number, and document number, thus saving time and avoiding manual work.

As you can imagine, receiving countless e-mails every day is a big part of any business. And for some businesses like ours, there are many different departments to whom each e-mail needs to be forwarded to. One way is to have a person to do it every day, hour, minute and second, thus delivering e-mails even up to several hours later. Is there any other way? Eventually we came up with a solution and created Tech that does it automatically in a few seconds. We leveraged machine learning to predict if incoming e-mails contain sales opportunities, customer churn or claims cases and forward them immediately to the responsible person at It, thus ensuring rapid communication.