Iris.ai is an AI-powered technology intelligence platform designed for corporate R&D teams, patent professionals, and innovation managers. It maps the technology landscape around a research topic, identifies relevant scientific literature, clusters concepts, and surfaces non-obvious connections between research areas. The platform handles enterprise-scale research tasks involving thousands of documents. R&D departments, IP teams, and innovation consultants use Iris.ai to understand the competitive and scientific landscape before making technology investment decisions. The platform processes scientific literature at a scale beyond what human research teams can handle, identifying patterns and connections that manual review would miss. Patent freedom-to-operate analysis and technology scouting are primary use cases. Iris.ai targets the enterprise research market rather than individual academics, with pricing and features scaled to organizational research operations. The platform's ability to process and cluster large document sets is particularly valuable for technology scouting and systematic reviews in R&D contexts.

What the community says

Iris.ai is respected in R&D and innovation management circles for its technology landscape capabilities. Enterprise R&D professionals value the scale of literature processing and the non-obvious connection identification. Pricing is the main barrier for smaller organizations. Based on community discussions from LinkedIn and innovation management forums.