
TLO
Unlocking insights from unstructured data.

Accelerate scientific R&D with a comprehensive AI-powered researcher workspace.

Iris.ai is a sophisticated AI-driven Researcher Workspace designed to handle the complex requirements of scientific and technical research. By 2026, the platform has established itself as the leading alternative to manual literature reviews by utilizing a proprietary Knowledge Graph and advanced NLP algorithms. Unlike generic LLMs, Iris.ai focuses on high-precision data extraction and semantic reasoning, ensuring that researchers can navigate millions of academic papers, patents, and internal documents without the risk of hallucinations. Its architecture leverages a unique 'Contextual Search' engine that understands problem statements rather than just keywords. The 2026 iteration features enhanced multi-modal capabilities, allowing the system to interpret complex chemical structures and mathematical formulas directly from PDFs. This makes it an essential tool for corporate R&D departments in pharmaceuticals, materials science, and engineering, where accuracy and provenance are non-negotiable. The platform streamlines the systematic review process, moving from a corpus of thousands of papers to a handful of high-relevance candidates in minutes, significantly reducing time-to-market for technical innovations.
Iris.
Explore all tools that specialize in literature review. This domain focus ensures Iris.ai delivers optimized results for this specific requirement.
Uses a hierarchical attention mechanism to create a multi-dimensional semantic map of concepts found in literature.
An intelligent filter that uses machine learning to learn from user-selected inclusion/exclusion criteria.
A field-specific OCR and NLP model trained to recognize tabular data and chemical entities in scientific PDFs.
Abstractive summarization specifically tuned for technical jargon and complex sentence structures.
Moving beyond TF-IDF to vector embeddings that represent the core scientific intent of a user's prompt.
A workflow management tool that follows PRISMA guidelines for clinical and scientific review protocols.
Links extracted entities with external ontologies (MeSH, ChEMBL) to provide deeper context.
Create a secure account via corporate SSO or professional email.
Define your research 'Context' using a 300-500 word problem description.
Connect your library by uploading PDFs or syncing with PubMed/CORE/OpenAlex.
Execute a Smart Search to generate a visual Knowledge Map of related concepts.
Apply the 'Focus Tool' to filter results based on precise inclusion/exclusion criteria.
Utilize the Summarization tool to generate multi-document abstracts.
Configure the Data Extraction tool to identify specific data points (e.g., temperatures, concentrations).
Review the extracted data in the Workspace dashboard for accuracy.
Export the structured dataset to CSV or JSON for further analysis.
Set up 'Monitoring' alerts for new publications matching your research profile.
All Set
Ready to go
Verified feedback from other users.
"Highly praised by academic and corporate researchers for its ability to cut through noise, though some users find the UI has a steep learning curve."
Post questions, share tips, and help other users.

Unlocking insights from unstructured data.

AI-powered linguistic transformation for academic clarity and SEO content diversification.

AI-powered linguistic restructuring for instant clarity and content uniqueness.

Rapid, browser-based AI rewriting for instant content variation without the paywall.

Enterprise-grade AI rephrasing with integrated sentiment analysis and Excel-native automation.

Professional linguistic analytics meets high-fidelity AI content verification for academic and corporate integrity.

A preprint server for health sciences.

Connect your AI agents to the web with real-time search, extraction, and web crawling through a single, secure API.