Softeq helped the client develop an application that manages user authorization, payments, and viewing of on-demand video content on Smart TVs. The application is supported by Samsung, Philips, and LG devices among others.
Samsung Smart TV App
The customer was looking for a service provider to help them develop a web app based on the Samsung Smart TV platform and port it to major Smart TV platforms.
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An automotive company turned to Softeq to migrate an ML-driven image/video labeling app to the cloud. The new web app allows labelers to process data without the delays they were encountering when the data was stored on local servers
Image/Video Labeling Web App for the Automotive Industry
The revamped solution enables labeling teams to access the system faster and process data more productively. The reworked architecture increases the solution’s scalability and effectively distributes resource utilization between the system’s components.
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Our team built the front end for a client’s travel planning solution. With the new changes, users can minimize trip risks by uploading travel documents, locating hospitals, and understanding the specifics of their destination.
Ruby-powered Web Service for Travelers
Our team was responsible for bringing the corresponding patches into the solution’s static web page code, implementing a new language board, and adding new functionality and upgrades.
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