A customer with a long term experience in AI/ML (bylo ML/AI) was looking for highly qualified Machine Learning developers experienced in real-time object detection and tracking, as well as behavioral analysis of objects in video feeds from a retail environment. We created an expert team comprising an ML specialist with experience of real-time object detection pipeline (detection model, transfer learning, tracking, behavioral analysis), two senior developers with experience of real-time object detection pipeline and Nvidia DeepStream SDK principles, and one annotator with experience of preparing ground truth data for ML models. Our team has substantially helped improve current customer solution in terms of performance, reliability and speed of processing.

A furniture aggregator platform was looking to extend their search services with visual search, which allows customers to find similar products just by uploading a photo they have taken or downloaded. We prepared the whole service as a separate microservice for the customer’s Kubernetes infrastructure. The team consisted of two ML experts and two Senior Developers, who completely designed and developed the whole service including the communication model with other already existing services. We worked with the latest architecture designs such as detector, feature vector extractor, approximate nearest neighbor and other services.

A client was looking for a development partner for an audio recognition project. We were approached to undertake the whole process of mobile application delivery, which included graphical design, development, testing, backend data collection and processing. The application (optimised for Android) utilised TensorFlow Lite proprietary model for audio recognition, which ensured high precision and low latency.