TechnoLynx

TechnoLynx has completed a project for a software company where they were tasked with automating certain manual processes. They developed learning models that transformed these processes into automatic pipelines, enhancing speed and opening up new product opportunities. TechnoLynx used technologies such as Python, PyTorch, and Semantic Segmentation in this project. The client found TechnoLynx through Upwork and invested between $75,000 and $125,000 in the project, which began in January 2021 and is still ongoing.

In another project, TechnoLynx was hired by Kineon, a company that creates laser devices for reducing inflammation and pain. The goal was to research and implement a machine learning approach to signal processing and infrared spectroscopy. TechnoLynx was selected for their strong technical competency and assigned 2-5 employees to the project. The key deliverables included signal processing software and visualizations of complex data sets. The client praised TechnoLynx for their ability to transform complex theories into practical results and their open communication.

TechnoLynx also worked with V-Nova, a deep-tech company specializing in hierarchical and parallel data processing, AI acceleration, video/data compression, and immersive XR experiences. They were tasked with porting OpenCL libraries to Vulkan and Metal, redesigning a full-GPU library for increased efficiency, and porting DirectX software to Vulkan. The client praised TechnoLynx for their great culture fit and the successful port of complex optimized GPU libraries from existing languages and platforms to new ones while also refactoring for maximum efficiency.