Our client is a fast-growing product company with offices in Tel Aviv and New York. The company pioneered on-device artificial intelligence solutions that help businesses provide hyper-personalized customer experience and leverage insightful user data for better decision-making.
A full-fledged approach to an artificial intelligence project covering all stages: data preparation, extracting business value from data, data clustering, feature modeling and evaluation, model optimization.
High quality of artificial development services, together with transparent processes and effective team communication
High-level engineering mindset to make reasoned decisions on matching business needs with applied technologies
Solid project documentation for the product to be integrated by other development teams
“Ninja” engineers who possess knowledge of over 40 programming languages and technologies.
The product turns mobile phones into personal data engines, all while carefully protecting each user’s privacy. It’s an on-handset artificial intelligence engine that collects and uses data from a handheld device’s sensors to build an on-device user profile.
By gathering and analyzing user behavior collected by the smartphone’s built-in sensors, the technology understands the user’s location, activity and more, enabling prediction of future movements, and offering up contextual services that improve the user experience. The platform allows to engage with specific segments of customers in the moments that are the most appropriate for them to complete transaction or make some action.
A key element of the developed platform is a Mobile Engagement SDK (software development toolkit), that integrates easily with any iOS or Android app. It applies artificial intelligence to analyze first party data from one’s mobile, build a person’s profile and predict his future actions.
SDK helps not only to create personalized and well-targeted engagement campaigns, but also trigger them in the most relevant moments.
The solution is based upon Edge AI technology that is capable of turning 87 device signals into hundreds of first party insights. Edge AI provides personalized customer experience without infringing on users’ privacy or breaking regulations on safe data practices. With Edge AI, all personal data stays on the device.
Points of Interest research:
the task was to specify points on a map with maximum density and based on particular requirements for people’s attributes.
Clustering the installed applications:
given the set of data comprising records on installed applications, Unicsoft was challenged to extract business value by collecting information concerning these applications’ users.
3D visualization:
after collecting the initial data on the density of people on different floors of buildings, the main challenge was to draw up a model of this building in 3D that would show the distribution of people within it.
Sensor data tracking:
we needed to define which particular activities was performed by users, as well as extract some additional features from data. Following data preparation and research, Unicsoft came up with a model that resulted in greater than 90% accuracy.
Parking navigator application:
we worked on the Android version of a real-time parking navigator for iPhone, that displays parking lots on the map, real-time parking occupancy, traffic information, and has an automatic car finder.
Points of Interest research:
the task was to specify points on a map with maximum density and based on particular requirements for people’s attributes.
Clustering the installed applications:
given the set of data comprising records on installed applications, Unicsoft was challenged to extract business value by collecting information concerning these applications’ users.
3D visualization:
after collecting the initial data on the density of people on different floors of buildings, the main challenge was to draw up a model of this building in 3D that would show the distribution of people within it.
Sensor data tracking:
we needed to define which particular activities was performed by users, as well as extract some additional features from data. Following data preparation and research, Unicsoft came up with a model that resulted in greater than 90% accuracy.
Parking navigator application:
we worked on the Android version of a real-time parking navigator for iPhone, that displays parking lots on the map, real-time parking occupancy, traffic information, and has an automatic car finder.
