Build a Scientific Database from Research Papers, Instantly
An ocean of scientific knowledge lies within 200+ million papers. Use Kateeb to turn it into discovery.
Automatically extract data from thousands of research papers to build a structured database for your ML project or to identify trends across large datasets.
Everything you need to accelerate your research
From data extraction to analysis, our platform is designed to streamline your entire research workflow.
Get the Gist in Seconds
Our AI understands scientific text with accuracy and efficiency, and scales to millions of entries.
- Build databases up to 100,000 data points.
- Spot research trends and error ranges.
- Upload papers for custom database generation.
- Generate and analyze results instantly.
Smart Schema Generation
Leverage our smart schema generation feature for highly accurate data extraction, tailored for analysis. Built on our expertise, it adapts to your research needs and ensures your data is structured for maximum usability.
- Achieve high-accuracy extractions
- Customize schemas to fit your analysis
- Benefit from proven research-driven expertise
Zero Synthetic Data
Our platform is committed to data integrity. Every data point is extracted directly from the source papers you provide, ensuring your database is authentic and free of AI-generated fabrications.
- 100% source-driven data extraction.
- Full transparency and traceability to the original document.
- Build trust in your data for reliable analysis and modeling.
- Avoid hallucinations and synthetic information.
AI-Powered Data Extraction in Action: Islamic Ink Atlas
How Sci-Database turned thousands of historical records into a high-value, searchable research resource.
Islamic Ink Atlas is a compelling example of how Sci-Database technology enables researchers and cultural heritage practitioners to build rich, structured scientific databases from complex, unstructured sources. The project aggregates over 3,300 historical ink, paper, and pigment recipes from across the Islamic world into a searchable, interactive research portal.
Built using Sci-Database’s custom AI data extraction and schema capabilities, the Islamic Ink Atlas:
- Preserves Cultural Knowledge at Scale
By transforming dispersed historical data into a unified digital resource, the Atlas makes centuries of artisanal production techniques accessible for research and analysis. - Supports Deep Exploration and Visualization
Users can filter by material type, region, and century, and visualize patterns of knowledge diffusion across time and geography. - Leverages Advanced AI Tools
Integrated NLP search and AI-assisted data tools help uncover connections between recipes and materials that would otherwise require extensive manual research.
This project illustrates how structurally capturing knowledge from thousands of documents fosters new avenues of research in history, materials science, and cultural heritage studies.
Frequently Asked Questions
Answers to common questions about our AI-powered research platform.
Flexible Pricing for Every Research Need
Choose the plan that fits your workflow.
- 150 credits
- Enough for a database with >2000 data points
- Custom schema design
- Standard support
- 1,000 credits
- Process up to 1,000 papers
- Custom schema design
- Standard support
- 20,000 credits
- Advanced visualization
- Parallel jobs submission
- Standard support
- Custom credit allocation
- On-premise deployment option
- Dedicated account manager
- Custom security reviews