Discover The Business success Stories with Our in-depth case studies

“At ArcelorMittal, we are constantly looking for ways to optimize our R&D processes and this is what brought us to Iris.ai — Integrating Axion into our process has made the ingestion and processing of external data significantly easier. It has cut weeks and, in some cases, months out of our research and development timelines and gives us the capacity to review more patents. Iris.ai proves there is enormous potential when research and development meets artificial intelligence, and we are only witnessing the beginning of that journey.”

“Project delivery times were a critical challenge, especially when insights were time-sensitive. Manually reviewing papers on niche topics like avian flu would have been exceptionally tedious. With Iris.ai’s RSpace, we could quickly narrow down relevant papers across disciplines — a major advantage in real-time crisis situations. Even with deep expertise, our researchers face knowledge gaps across fields, so having fast access to relevant, up-to-date research is essential. Iris.ai has helped us streamline data collection and manage project delivery more effectively.”

“We looked at 21 vendors, each promising cutting-edge solutions. But Iris.ai stood out immediately. Within just a few weeks, they delivered a fully working solution, not just a prototype or a proof of concept, but something we could actually use. It outperformed every other vendor we evaluated, both in terms of technical capability and practical application. What impressed us most was how quickly they grasped our challenges and delivered something genuinely useful. Iris.ai didn’t just meet our expectations, they quietly exceeded them in both speed and substance."

“A technology landscape used to take us three to four weeks. Now we finish one in five to seven days, and we read 400 to 600 papers instead of about 100. My team spends that time on the decision, not on the reading. We also read Chinese and Japanese patents in the same place as English papers, and every finding links back to its source. After more than two years in daily use, the system holds what our researchers learn, even when people change roles."

“We’d tried machine translation before and it kept getting our terminology wrong without any warning. What sold us on Axion was that it tells you when it isn’t sure. Those translations go to our engineers, so nothing questionable ends up in a safety document."