Iris.ai’s Post

Traditional competitive research is too slow, shallow, and manual to keep up with today’s innovation pace. Leading enterprises now use AI-powered Competitive Research, with Retrieval-Augmented Generation (RAG) at its core. At Iris.ai, we’ve built an enterprise-grade RAG system that delivers faster, deeper, and more accurate competitive intelligence across internal and external data. In our latest article, we cover: ✔ Why traditional research falls short ✔ How RAG turns data overload into strategic insights ✔ Turning unstructured data into actionable intelligence ✔ Key use cases in R&D, IP, and compliance ✔ Our Multi-RAG architecture (dynamic retrieval, prompt optimization, source traceability) ✔ How to securely pilot & scale RAG for ROI With enterprise-grade controls - data sovereignty, auditability, role-based access, and flexible deployment -we help turn siloed data into a competitive edge. 📈 If your team wastes time searching, validating, or synthesizing data, it’s time for a change. #EnterpriseAI #RAG #CompetitiveResearch