Figuretwo provides a platform for scientists to create publication‑ready figures that remain directly linked to the underlying datasets, tables, and files. The tool stores metadata, units, and labels in machine‑readable formats, enabling AI integration, persistent identifiers, and compliance with journal and funding agency requirements while allowing selective data sharing for sensitive information. Users can export figures using open standards, assign licenses, and publish with DOIs to ensure reproducibility and credit.
Funding
Funding not disclosed
Founders
Product
Problem
Researchers often create figures using generic design tools that do not maintain a reliable link to the underlying data, leading to broken references, ambiguous metadata, and difficulties in reproducing results. This hampers peer review, journal acceptance, and long‑term reuse of scientific visualizations.
Solution
FigureTwo offers a web‑based platform that lets scientists build interactive, publication‑ready figures while keeping a persistent, machine‑readable connection to the source datasets, tables, and files. The system stores metadata, units, and labels in structured formats, enabling AI tools and databases to interpret the figures automatically. Users can control data sharing to comply with privacy or licensing constraints, and the platform generates persistent identifiers, DOIs, and licensing information to make figures findable, interoperable, and reusable. Export options follow open standards, and built‑in citation features allow figures to be published directly into the scholarly record. An interactive canvas editor provides code‑free customization of chart types, layouts, and styling, supporting both free and professional plans with private sharing and higher storage limits.
Target Audience
Primary users are individual researchers and research groups who need to create, share, and publish data‑driven figures for journals, repositories, and collaborative projects.
Features
- Direct linkage of figures to original datasets, tables, and files with no broken references
- Machine‑readable storage of metadata, units, and labels for AI compatibility and large‑scale analysis
- Persistent identifiers, DOIs, and licensing metadata to ensure findability and citation
- Flexible sharing controls allowing private collaboration and compliance with sensitive data policies
- Open‑standard export formats suitable for journal submission and downstream reuse
- Interactive, code‑free canvas editor for customizing chart configurations and layouts
- Free tier with basic functionality and Professional tier offering higher file limits, private sharing, and DOI publishing