Sifting through scientific findings can be difficult, often requiring researchers in university or corporate R&D labs to find what amounts to a needle in a haystack—relevant data could be buried within millions of published articles, with thousands more publishing every day. Iris AI is using AI to help find those needles. Since its launch, 120,000 people have tried the service, with 8% becoming regular users. Corporate and university studies show that Iris AI can cut the resources required to do scientific research by between 30% and 50%, with tests showing those using Iris AI far outpaced those using Google Scholar. The more complex the task, the more time it saves. That’s why Iris AI has nearly sold out its paid tool, with a small but growing number of universities, corporations, and research institutions adopting it.