Trenser Technology Solutions (P) Ltd.

Trenser Technology Solutions (P) Ltd. was hired by a U.S. biomedical research platform to enhance an integrated open-source DICOM viewer. The company required additional image labeling tools, data type support, and custom functionality to meet customer needs. Trenser developed on top of the existing viewer using JavaScript: React, and also created a new custom API service. The successful completion of the project resulted in the acquisition of new customers and an improved experience for existing ones. The project team initially consisted of a frontend developer, a backend developer, and a technical architect, but expanded to 22 members as the relationship between the companies grew.

A healthcare tools firm engaged Trenser Technology Solutions (P) Ltd. to develop CT imaging visualization software, CT Reconstruction Software, and DICOM Software. The team of 2-5 employees from Trenser worked in collaboration with the client's scientists and R&D team to design and implement CT scanner software. This involved developing software for image acquisition, image processing, high-performance computing, 2D and 3D image rendering, and visualization. The client selected Trenser for their high ratings, great culture fit, good value for cost, and aligned company values.

An AI startup company hired Trenser Technology Solutions (P) Ltd. for AI model training and deployment, the creation of a real-time application to display input video image and AI result, and AI training data annotation. Trenser assigned three teams of engineers to the project. The first team focused on improving and developing the client's AI/deep learning models and training the AI models. The second team designed and implemented the user interface of the application, integrating essential visualization components using GPU technologies. The third team was responsible for annotating large amounts of video data to prepare for AI model training. The client chose Trenser due to their good value for cost.