Created award winning app that helps predict vehicle parking through sensors

From a startup to an industry award winning app, Arbisoft has been with throughout the journey to create an app that accurately predicts the parking behaviour of drivers.

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“The app has generated significant revenue and received industry awards, which is attributed to Arbisoft’s work. Team members are proactive, collaborative, and responsive.”

Silvan Rath,
CEO, & Arbisoft

Founded by Berliners Silvan Rath and Jörg Sädtler, the Berlin-based startup has been on a mission to “make sense of sensors” since 2012. is an intelligent offline data management platform helping retail brands drive revenue by anticipating and generating customer demand. Their SDK helps app developers use smartphone sensors to provide contextual updates and make devices location-aware.

How We Fit Together reached out to us with the basic idea of developing an app that would accurately detect the when and where the vehicle was parked using smartphone sensors. They hired a team of Arbisoft engineers to develop a B2C app with machine algorithms that work with real-time sensor data to predict the driver’s parking behaviour. Arbisoft’s team was closely integrated with their team, building native apps and SDKs that were “location aware” without being resource-intensive. Our developers provided smart algorithms that optimized the SDK while adding critical functionality such as intent labelling and Points-of-Interest selection. We also developed algorithms that could avoid getting locked in by geofences or produce false positives.

Making It Matter

Arbisoft provided complete engineering services for SDK. As a result, achieved their goal to launch quickly and maintain the code over time. They have seen increased DMP & SDK sales—a direct boost in revenue. It has also received consulting opportunities with clients such as T-Mobile, Porsche, and a major project with the European Commission. Almost five years working with Arbisoft, has received numerous prestigious industry awards, including Volkswagen Innovation Award and TU Automotive Startup of the Year.

Technology Used

Java 8, Spring (Core, DataJPA, Security, etc), SpringMVC, JSP, Hibernate, RabbitMQ.
Build/Dep: Jenkins, Gradle
Deployments: Tomcat, Nginx, HAProxy.
DBs: MySQL (later on Amazon Aurora), MongoDB, DynamoDB.
AWS (EC2, S3, CloudSearch, CloudFront, SQS, SNS, ELB, CloudWatch, RDS, etc).
Frontend: HTML, CSS, Boostrap, JavaScript, jQuery, BackboneJS, MathJax, Flow Player, etc.
CMS: Scala, Play Framework.
Mobile: Objective C, Android (Java).
Automation: RSpec, Capybara (Ruby), JMeter.