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.
η.ai
The η.ai (eta.ai) project explores low-precision AI, challenging high-precision approaches. It reduces precision requirements, improving efficiency and hardware scalability. Low-precision AI (TinyML) swiftly analyzes large datasets in finance, cybersecurity, and healthcare. Affordable FPGA hardware, in this case Google Coral, supports low-precision AI, providing better performance and energy efficiency for edge computing.
True Random Numbers - API
What is random and why does it matter? Well, randomness presents opportunity. Firstly for encryption, safety is assured based on randomness. If the randomness is not truly random, but biased, then the assumed complexity of the randomness is less, reducing safety. Furthermore, randomness is can be a feature for Artificial Intelligence and Machine Learning. Algorithms often are build around the idea of features and weights, in which the latter are randomly attributed and tuned to improve predictions. If these weights are not random, there is a chance that the model that is being trained, is already biased. This can harm the speed of convergence as well as the overall performance of the model.
This project focuses on delivering, measuring and reassuring randomness. The scope of the project is to use multiple device, both specially designed for TRNG and otherwise, to generate randomness.
Pouring Tea
Living with a disability poses challenges beyond the physical realm, affecting various aspects of life, from social interactions to economic opportunities. Individuals with disabilities often face difficulties in performing seemingly simple tasks that many take for granted.
This project is a collaboration with Anton Mirhorodchenko focuses on delivering an end-to-end product and shares the journey that is involved an developing custom IoT Solutions.
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.