Partners & Portfolio
This collaborative project, with Applied Smart Industry, focuses on the ongoing digital transformation of one of the largest metal-alloy producing companies in the region. The primary objective is to deliver a strategic roadmap for the company’s digital transformation.
The project entails developing a robust IT and OT strategy that align with the company’s vision for operational excellence. Emphasis is placed on Asset Management (AM) and evaluating state-of-the-art technologies to optimize efficiency. Additionally, change management initiatives are being roadmapped to ensure a smooth transition to new technologies and practices.
Through this collaborative effort, the project aims to empower the company to embrace the opportunities with the onset of novel technologies. The strategic roadmap will provide clear guidance, enabling the company to stay competitive and agile in the ever-evolving digital landscape.
The project involves collaborating with a leading fashion agency in Germany to automate the laborious task of generating fashion item descriptions. With cutting-edge deep learning techniques and large language models (LLMs), the solution automatically generates high-quality fashion item descriptions. These models are trained on vast amounts of fashion-related text data, enabling them to learn fashion language, style preferences, and descriptive terminology. By integrating AI-generated descriptions, the project aims to significantly reduce time and cost, enhancing operational efficiency and scalability for the agency. The goal is to revolutionize the fashion industry by streamlining the description writing process using AI-generated descriptions.
This project demonstrates the transformative potential of AI in the fashion industry, offering improved customer experiences, streamlined operations, and growth opportunities. The ongoing progress paves the way for future advancements and collaborations, positioning AI as a key driver of innovation in the fashion domain.
The project centered around the development of an Inventory Management App that harnessed the capabilities of Flutter, Supabase, and AI. This dynamic application redefines inventory management by introducing efficiency, accuracy, and intelligence into the process.
At its core, the app seamlessly integrates with existing systems, making use of barcode scanning technology for swift item identification. Users can access comprehensive contextual information about each item, aiding in informed decision-making.
Standout features is AI-powered image validation, addressing two critical image quality aspects – sharpness and object dimensions. This ensures that images taken of objects are of the highest quality and accurately represent the item’s size and shape. The app’s native performance and optimized resource utilization, thanks to embedded compute, guarantee a smooth user experience and low network IO.
A renowned Web-Content creator was looking into Generative AI as a means for developing new web-content. After a PoC phase, a productive environment in both hardware and software needed to be put in place. The project included hardware and software advice as well as implementation.
Support on the hardware-level included networking-design, supporting the requisitioning process of the hardware and installing and configuring the servers and KVMs. On a software-level, the support included the configuration of Linux, Docker, Docker Compose, CUDA and NVIDIA Container Toolkit.
Stack validation included the testing of software for Multi-GPU utilization. Furthermore, documentation, automation and integration-testing was developed for these environments to enable support and patching.
Small problems can become particularly large when they impact of the larger outcome of a production process. In this case, a water-cutting device, that uses a water-jet with abrasive sand to cut through steel, used a small rubber protective cover to avoid any splashes during cutting. The problem was that this cover kept on breaking, sometimes as rapidly as within 5 minutes. Without the cover, the water and sand would get everywhere, degrading the machine.
The scope of this project was to Proof the Concept of 3D printing, by creating more sturdy designs and prints for this cover. Specialized filament like Polyamid-6 (Nylon) with Carbon Fibre were tested. The cover lasted over 20 hours, where the original rubber cover struggled to last 5 minutes.
The durability was improved by a factor of 240 times
The next phase will include setting up the capability and expertise to work with 3D printing at the customer. This includes training, supporting the requisitioning and setting up the production process.
Partners
Complete business predictability through Smart Industry. Helping to create a working environment where digital technologies enable humans to operate at their highest abilities. Click here for more information.
Specializes in integrated IT solutions, combining software, hardware, and services to create seamless technology ecosystems. They develop custom software tailored to existing systems, select and install the right hardware, and provide essential services such as hosting and customer support. Their expertise spans mobile apps, dashboards, digital signage, smart home solutions, and passenger information systems.