by admin | Sep 7, 2026 | AI Services Competency, Case Study, Generative AI
Omnys develops a multi-agent chatbot based on Amazon Bedrock for AMF AMF Group is a leading company in the production of accessories for the fashion industry, specializing in the manufacture of metal and non-metal components for apparel, footwear, and leather goods...
by admin | Mar 9, 2026 | Case Study, Generative AI, Machine Learning, News
Discover how Omnys automated drug testing with AI, improving accuracy, digital reporting, and data security for occupational health. In the diagnostics industry, speed and accuracy are non-negotiable requirements. In this context, Omnys developed a solution for a...
by admin | Jul 22, 2025 | AI Services Competency, Case Study, Generative AI
For a leading company in the HVAC industry, Omnys developed a Generative AI-based project to optimize and accelerate the customs clearance process The ClientWith a strong presence in over 90 countries, numerous local agencies, and several branches across Europe, the...
by admin | Jun 23, 2025 | AI Services Competency, Case Study, Events, Generative AI
Omnys joins the AWS Summit 2025 in Milan as a Gold Sponsor, presenting the talk “Optimizing Business Processes with Generative AI: the AMF Case” Omnys is a Gold Sponsor at AWS Summit 2025 – June 18, 2025, Fiera MilanoOnce again this year, Omnys took center stage at...
by admin | Jan 1, 2025 | AI Services Competency, Case Study, Generative AI, News
For CORCYM, leading company in the cardiac medical device sector, Omnys implemented a Retrieval-Augmented Generation (RAG) system using Omnyscient The Client The ClientCORCYM is a leading company in the cardiac medical device sector, specializing in the production of...
by admin | Jan 1, 2025 | Case Study, Generative AI
Omnys developed an advanced GenAI agent integrated with the client’s corporate databases for a leading manufacturer of accessories for the fashion and luxury industries. The Client A leading company in the production of metallic and non-metallic accessories for...
