SciLire is an advanced AI-powered platform designed to extract data and unlock insights from vast volumes of documents such as scientific literature, legal documents, reports and similar. It empowers researchers, analysts, and decision-makers to extract knowledge at scale and curate high-quality datasets to build confidence and trust in the results, accelerating innovation across industries.

What Does SciLire Do?
SciLire enables AI-assisted knowledge extraction and systematic data curation, allowing users to:

• Rapidly conduct systematic reviews with thousands of documents
• Build reusable, structured datasets from unstructured text
• Build trust in AI-generated outputs with human-in-control oversight

SciLire features unique capabilities to assist users with checking the extracted data, vetting and editing if needed and improving knowledge extraction based on user feedback.

Key Benefits

• Productivity Gains: Reduces processing time per document.
• Efficiency at Scale: Allows processing documents a vastly larger scales than possible otherwise.
• User trust and confidence: Puts users in the driver’s seat and build trust through being actively involved in AI-assisted data curation.

Who Is It For?
SciLire is for:

• Researchers: conducting systematic or narrative literature reviews
• R&D teams: building domain-specific knowledge bases
• Businesses: seeking to leverage insights from documents
• Policy analysts and consultants: needing evidence-based synthesis

How does it work?
SciLire extracts data from your PDFs into a table. It uses feedback from you to help improve the accuracy.

1. Prepare your project: Upload your PDFs and define the data you would like to extract.
2. Refine on small batches: Extract data from small batches of PDFs. Check and correct the data to improve SciLire's output. Iterate until you're happy with the accuracy.
3. Extract the full dataset: Extract data from all of your PDFs and export the table to a csv.