ScienceStack
Converts research papers into structured, queryable data and extracts sections, tables, figures, and equations for grounded synthesis
A research infrastructure platform that converts scientific papers into structured, queryable data to extract sections, tables, figures, and equations and provide grounded answers. It solves the problem of manually searching and synthesizing literature across formats like arXiv, LaTeX, and PDF. It is for developers and data teams in business environments building AI agents and research tools. It is delivered as a SaaS platform with developer APIs and conversion tools on a free tier model.
Key features
- Query papers like a database
- Extract sections, tables, figures, equations
- Deep literature synthesis across papers
- Section extraction across papers
- Equation comparison side-by-side
- arXiv to Markdown conversion
- arXiv to JSON conversion
- LaTeX to Markdown conversion
- PDF to Markdown conversion
- Structured answers from papers
- No social media activity within the last 30 days
GTM channels
- API
- Docs
ICP
- Software developers
- Data analytics teams
- Engineering teams