Iris.ai - AI Research Platform
What is Iris.ai: Overview
Iris.ai is an AI-driven research assistant built to support researchers, enterprises, and R&D teams in navigating complex scientific and technical information. The platform leverages advanced natural language processing and machine learning to understand the context of research content rather than relying on simple keyword matching.
It enables users to map research landscapes, discover relevant academic papers, extract key concepts, and automate time-consuming processes such as literature reviews and data analysis. Iris.ai is particularly valuable in fields with large volumes of unstructured data, including science, healthcare, and engineering.
The platform also focuses on reducing bias in research by analyzing content directly instead of relying on citation counts, helping users uncover less visible but relevant studies.
Overall, Iris.ai aims to improve research efficiency, reduce manual effort, and support better decision-making by transforming how users interact with scientific knowledge.
Key Features of Iris.ai
- Research mapping to explore and visualize scientific landscapes
- Context-based paper discovery beyond keyword search
- Concept extraction from large datasets and documents
- Automated literature reviews and data processing
- Collaboration tools for research teams
How to Use Iris.ai (Step-by-Step)
Here are the simple steps to start using the Iris.ai platform.
Step 1. Sign up on the Iris.ai platform.
Step 2. Enter a research query, topic, or upload relevant documents.
Step 3. Let the AI analyze and map related research content.
Step 4. Filter and explore suggested papers and insights.
Step 5. Extract key concepts and build structured research outputs.
Step 6. Collaborate with team members or refine results further.
Use Cases of Iris.ai
- Academic literature reviews
- R&D research and innovation analysis
- Patent and technical document exploration
- Data extraction from scientific publications
- Knowledge discovery across disciplines
Target Audience of Iris.ai
- Researchers and academics
- R&D teams and enterprises
- Data analysts working with text-heavy datasets
- Universities and students
- Innovation and product development teams
Iris.ai Pricing
Custom pricing for institutions and enterprise users. The exact pricing details are not publicly disclosed.
