Iris.ai — Scientific Research and Data Extraction
Iris.ai is a literature discovery and data extraction platform for R&D teams and academic researchers.
Iris.ai is an artificial intelligence research workspace designed to streamline the discovery and analysis of scientific literature. This platform is specifically built for research-intensive organizations, corporate R&D departments, and academic institutions in 2026. By utilizing natural language processing, the software allows users to navigate millions of research papers without relying solely on keyword matching. The platform provides a comprehensive suite of tools including an intelligent search engine, smart filters, and automated mapping of research landscapes. Iris.ai helps users organize vast amounts of technical data by generating reading lists and providing automated summaries of complex documents. This structured approach reduces the time spent on manual literature reviews and helps teams identify relevant patterns across diverse datasets. Business owners can leverage the data extraction feature to pull specific technical parameters directly from research papers into structured formats. By integrating with internal document repositories, the tool ensures that proprietary knowledge is as searchable as public domain research. You can find detailed comparisons of such research platforms on surfai.app to see how they fit into your specialized workflow. The platform operates on a freemium model, offering a basic version for individual researchers while providing specialized premium tiers for corporate teams and large-scale R&D projects.
- Pricing: freemium
Specifications
| Pricing | freemium |
|---|---|
| Integrations | Zotero, Mendeley, Google Scholar, ORCID, Microsoft Azure |
| Best for | rd-departments, academic-researchers, biotech-companies, data-scientists |
| Website status checked | 2026-10-23T06:02:08.263+00:00 |
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