FigureTwo builds web-native scientific figures that are data-connected, accessible and FAIR-compliant rather than static images. Authors upload a dataset and build interactive charts (scatter, regression, etc.); readers can explore individual data points, jump between the chart and the underlying rows, switch to accessibility-friendly colour schemes, and use screen readers on hover. Published figures get a DOI and are archived in Portico. A new AI feature matches the style of any figure a user points it at — applying those styles to the user's own data without the AI ever touching the underlying data — returning an editable FigureTwo chart, not a static PNG.
Benefits & outcomes
Interactive, inspectable figures let reviewers, readers and policymakers explore and validate the underlying data, aiding trust and reproducibility.
Built-in alt-text recommendations, accessible colour schemes and screen-reader support.
AI style-matching lowers the barrier to well-designed figures without replacing the researcher's understanding of their own data.
Notes & quotes
Founder Jeff Lang (25+ years in scholarly publishing: ACS, ProQuest, RefWorks). Winner, Best New Product at the 2025 Charleston Conference Premiers and a 2025 Digital Science Catalyst Grant. AI style-matching feature demoed at PurePub.ai's "Doing things differently" panel (20 May 2026), launching ~SSP 2026. Lang's framing: support researchers' understanding, don't replace it — "there's a difference between using tools to support the creativity of a person, as opposed to replacing all of those things."
Publisher / company: FigureTwo (Jeff Lang)
Date of mention: 20/05/2026
Source: https://www.figuretwo.com/