01 / 07Evidence synthesis
SixSentences_ turns a research question into a review workspace where retrieval, screening decisions, full texts and the final evidence base remain connected.
Explore the workflowThe research workspace
Search and screen literature, collect interviews and surveys, analyse data, build figures and write the manuscript without separating the evidence from the decisions made around it.
01 / 07Evidence synthesis
SixSentences_ turns a research question into a review workspace where retrieval, screening decisions, full texts and the final evidence base remain connected.
Explore the workflow02 / 07Literature discovery
SixSentences_ combines scholarly metadata, the live web, known papers and uploaded sources in one literature search where every result keeps its origin and status.
Explore the workflow03 / 07Evidence-linked writing
The Manuscript Studio combines a structured writing project, multi-file LaTeX source, rendered PDF, bibliography and an agent that can work against the study record.
Explore the workflow04 / 07Qualitative research
SixSentences_ supports uploaded interview recordings and AI-led sessions, then keeps transcripts, codes, themes, memos and verified quotes in one study workspace.
Explore the workflow05 / 07Data Lab
The Data Lab combines versioned tabular data, reproducible analysis steps, charts and a conversational agent that can explain results without inventing values.
Explore the workflow06 / 07Visual Lab
The Visual Lab plans and renders scientific figures from a brief, then applies a review pass for hierarchy, labels and connections before the researcher approves the output.
Explore the workflow07 / 07Survey research
SixSentences_ combines conversational survey design with a structured questionnaire builder, participant access controls, response monitoring and research-data analysis.
Explore the workflowBack matterSources
Sources behind the feature previews: team-created demo data, cited papers and the open-source repository. Numbered markers across the site open their entries here.
Demo review, run fmvx3f8j2k
How reliable are large language models for systematic literature screening? 457 records identified, 37 duplicates removed, 420 screened, 384 excluded, 6 unsure, 30 included. SixSentences demo workspace.
Oami et al. 2025, Research Synthesis Methods
Takehiko Oami, Yohei Okada and Taka-aki Nakada: Optimal large language models to screen citations for systematic reviews. Research Synthesis Methods 16, 2025. © The Author(s), 2025, open access under CC BY 4.0. The quick answer cites its passage on page 7, shown with the app's highlight.
Demo study: How students use AI in everyday studying
Simulated AI-led interview with timestamps and a mock consent step. Two analysis quotes match the team-created demo transcript. No real participants were involved.
Survey vzvy62phzj: Study habits and AI tools
24 responses to four questions, published into the Data Hub as a dataset. Demo data created by our team, with no real respondents.
Evidence table, run xpb4qhfv3z
30 included studies x 5 fields, 150 cells: 133 values with a supporting quote, 119 of those located in the source, 17 cells not reported.
Sanghera et al. 2025, Journal of the American Medical Informatics Association
High-performance automated abstract screening with large language model ensembles.
Demo manuscript, AI contribution log
6 requests, 5 proposed edits, 4 applied: 1,901 characters added and 1,745 removed, written into the disclosure paragraph.
SixSentences community edition
The complete community application stack under Apache 2.0.
The research workspace