Our research project ICAR has been approved! 🎉

nyris embedding models rank first on all benchmark datasets for visual product search and parts identification. They outperform models from Google, Meta, Cohere, Jina AI, and Nomic AI on tasks from spare parts lookup to product recognition. And they do this with 768-dimensional embeddings, smaller than every competitor tested.

We’ve analyzed hundreds of hours of keynotes and panel discussions on Field Service and Aftersales to get the most mentioned trends for 2026. Here are the 10 trends and challenges that are actually shaping the future of Field Service and Aftersales as we head toward 2026.

Why does parts identification cost you so much time and expert resources? It is not because your customers or service technicians are lazy. It is because you are forcing them to translate a visual reality into keywords.

In the race for AI adoption, "cool" often distracts from "profitable." Don't waste time on flashy experiments, your goal should be speed to value. This guide breaks down how to launch the fastest, simplest AI project possible. One that guarantees an immediate ROI.

Whenever we review the spare parts catalogues of new customers, we see the same story. Page after page, most parts have no images. There are rows of identical titles, 100 "valves," 100 "gaskets”, 100 "panels," 100 "connectors", and not a single picture to tell them apart.

Skilled workers are scarce. Machines are getting more complex. Parts catalogs keep growing. Global teams add language and process gaps. When seasoned service technicians leave, you lose their tribal knowledge. Service queues pile up. Problems spike.

Dr. Anna Lukasson-Herzig, CEO of nyris, has been nominated for the 2024 Deutscher Zukunftspreis alongside Prof. Dr. Björn Ommer for their work on "Stable Diffusion" AI technology.

Automation in Germany's manufacturing boosts both jobs and efficiency. Rather than replacing workers, robots drive growth, challenging fears of job losses.