AI does the busywork. You do the research.
R runs the statistics and draws the figures. AI supports the analysis and the first draft. You focus on the question and what the results mean.
Just open a CSV — your data never leaves the browser.
A demo of the RINKO.ai workspace, cycling through loading a CSV, running a Kaplan-Meier analysis, exporting a forest plot and drafting the manuscript. All values shown are fictional demo data.The problem RINKO.ai solves
You copy a number out of your stats software into a plotting tool. You read it off the figure and type it into the manuscript again. Every time, you stop to check whether you got it wrong somewhere. RINKO.ai removes that retyping.
From analysis to figures and drafts — inside the browser.
Your data never leaves the browser. R (webR) does the statistics in the browser and AI helps with analysis setup and manuscript drafts. Each 15-second demo is a straight recording of the real screens.
From analysis to manuscript, with AI alongside.
Analysis → figures → manuscript as one flow for clinical research. Open a CSV, describe the analysis in plain words, and go from confounder adjustment to publication figures and a Methods / Results draft — all in the browser. Patient data never leaves it.
- 01Data
- 02AI setup
- 03Analyze
- 04Adjust
- 05Figures
- 06AI draft
- 07Evolving
- 01Survival & competing risk
Survival curves, submission quality.
Kaplan-Meier curves, cumulative incidence for competing risks, and multi-panel figures. Pick the columns and draw — the risk table comes with it.
- Kaplan-Meier — risk table, log-rank test, HR with 95% CI inside the figure
- Competing risks as cumulative incidence (CIF) with Gray's test
- Compose multi-panel figures (A / B / C / D) on one canvas with Figure Composer
- PNG 300 DPI is free; 600 DPI, TIFF, PDF and SVG are Pro
Loading and computation waits are shortened. On a real machine they take a few seconds to a dozen.
- 02Regression & adjustment
Confounder adjustment, in-browser R.
Multivariable Cox, Fine-Gray and logistic models as forest plots and tables, with propensity-score adjustment on the same screen.
- Univariable screening → multivariable model → forest plot in one pass
- HR, 95% CI and P at a glance; paste straight into Excel or Word
- Propensity scores — IPTW, matching or PS covariate; balance checked with SMD and a Love plot
- Warns on the spot about misleading results such as AUC < 0.5 or an unreached median
Loading and computation waits are shortened. On a real machine they take a few seconds to a dozen.
- 03AI draft
From setup to a verified draft, with AI.
Describe the analysis you want and AI sets up the columns; then it drafts Methods and Results from your figures. AI never invents a number.
- “Compare recurrence-free survival between two arms and add a 60-month estimate” — say it, and it is set up
- Draft Methods / Results from your figures and keep them in Core Draft
- Every number in the draft is checked against your results and the count of verified figures is shown
- Pro only, credit-based — pay for what you use
Loading and computation waits are shortened. On a real machine they take a few seconds to a dozen.
How we keep it trustworthy
Build submission-ready figures yourself
R runs inside your browser, so you can analyse without writing code (the R code that ran can be viewed and copied). Raw data, including patient information, never leaves your device. Build KM curves, forest plots, subgroup analyses, charts, Table 1 and flow charts, then export them (PNG free; SVG, PDF, TIFF and 600 DPI on Pro).
The numbers are never invented
Methods and Results drafts are written straight from your analysis. The AI reads the hazard ratios, p-values and confidence intervals you produced. It never guesses a number. A full submission package (title page through cover letter) can be generated to match your target journal's guidelines.
Pricing
Start free. No credit card required.
Free
- 10 credits/month = 5 figure exports
- KM curves, forest plots, Table 1
- Flow diagrams (CONSORT/STROBE)
- 87 pictograms (SVG/PNG) — unlimited, no sign-in
- AI drafting is not included
Pro
or $19/mo
- 500 credits/month = about 2 full drafts
- AI-generated Methods, Results & full submission drafts
- Vector & high-DPI export (SVG / PDF / TIFF, 600 DPI)
- AI analysis setup (auto column mapping)
A figure export costs 2 credits. An AI-drafted section costs 20–50.
Updates
New Subgroup and Charts pages, and a more rigorous treatment of competing risks and weighted analyses. Subgroup re-fits the treatment effect within each stratum (continuous variables split at the median) under Cox, Fine-Gray or logistic models and draws one forest plot (P for interaction by likelihood-ratio test, off by default). Charts gives grouped, stacked, 100 % stacked and year-by-year trend plots with chi-square / Fisher chosen automatically. Both inherit the adjusted cohort and can be dropped into Figure Composer panels. Fine-Gray now takes IPTW / overlap weights (robust variance) and can add bootstrap 95 % CIs for the sHRs (with progress and stop). A 0/1/2 competing-event column is refused under plain KM or Cox with guidance, and switching to CIF / Fine-Gray swaps the event column automatically. Also: Japanese labels in KM figures, Table 1 continuous variables as mean (SD) / median [IQR] / automatic by normality, E-values for unmeasured confounding in Cox, a copyable view of the R code that ran, and a component table for composite endpoints (MACE).
A set of features to cut the busywork: the data profile after import sets column roles and the target journal once, and KM, Cox, Table 1 and adjustment all use them (analysis plan, stored in the browser). "Build submission set" on the progress board runs Table 1, KM and Cox automatically and saves the .rko files; "Health" lists events, EPV, proportional hazards, VIF and matching rate. Propensity-score matching now runs on MatchIt (nearest / optimal / full, caliper, exact), and the matched cohort is shared by Table 1 and Cox (pair-clustered robust variance). Also: a variable dictionary, an analysis log, flow-diagram counts from data, a submission export preset, Core Draft batch generation and a ⌘K command palette.
87 clinical research pictograms are now available: line art of organs, procedures, treatments and study designs, exported as SVG or PNG in any colour (five palettes plus custom) and stroke width. Free, unlimited, no sign-in — with copy-as-image for PowerPoint and bulk ZIP download. Open it from "Pictograms" on the home page or the app toolbar.
A broad usability pass. Exports are now uniform across every page (PNG 300 DPI free; 600 DPI, TIFF, PDF and SVG on Pro), figure and Excel text stays English even on the Japanese UI, Cox / Table 1 column widths and forest-plot markers were tuned, and a crash on the diagnostics page for lower-is-positive markers was fixed. Remaining untranslated Japanese UI strings were completed and light-theme contrast was rechecked.
Visual Abstract gains journal-submission templates (four layouts: two-arm comparison, three-column, quadrant, and a portrait layout for social media). Paste the title and abstract and the AI drafts the content, copying numbers only from the abstract or your .rko results. A pictogram is picked for each arm automatically, and PowerPoint exports are editable shapes. Journal-specified layouts are added on request.
Every analysis page now has "✨ Set up with AI": describe the analysis and the time, event, group and confounder columns are assigned for you (KM, Cox, Table 1, change analysis, propensity adjustment). A free local auto-detect handles the common case; the AI steps in only for complex requests.
Double-click any text in your figures to edit it in place. Flow diagrams: every box, title and footnote updates live as you type. KM curves: rewrite group and axis labels right on the plot and redraw in one click — fixing raw "0/1" legends takes seconds. The KM grouping column can now be changed on the page too.
New: AI English labels for Table 1 (Pro). Japanese variable names and category codes (e.g. 性別 １：男性 ２：女性) convert to publication-style English (Sex / Male / Female) in one click, applied to every export (Word, Excel, .rko) — and you can switch back anytime. Complete Draft now picks the manuscript language automatically from the target journal's guidelines.
The diagnostic-accuracy suite (ROC, marker comparison, kappa, calibration, Bland-Altman/ICC) now exports publication-ready copies, .rko files and SVG. Detection-limit values (e.g. "<2.0") are now handled consistently across all pages and disclosed automatically in the Table 1 footnote.
Added the AI assist: type what you want to do and it suggests the right feature, opening the screen with columns pre-assigned (catalog search is free; AI suggestions are Pro). Also added design checks (in-browser detection of immortal time bias and more), automatic detection and exclusion of identifier columns, a full "what is sent to AI" preview, and a data-handling page with an ethics-review template.
Table 1 is now study-design aware: RCT and matched designs show an SMD column instead of p-values (with a CONSORT 2010-compliant footnote), and a missing-data column can be added. Cox regression gained model diagnostics (C-index, AIC, EPV warning, proportional-hazards test, overall p for factors) and a pre-specified covariate mode.
Major Adjust expansion: 1:k and with-replacement matching, weight trimming, PS-quintile stratification, PS-as-covariate, variance ratios and PS overlap, weighted logistic (OR), and sensitivity analyses (trimming sensitivity, Rosenbaum bounds, negative controls).
Added Adjust (confounding adjustment): propensity-score IPTW, ATT, overlap weights and 1:1 matching, balance diagnostics (love plot, adjusted Table 1), adjusted KM / CIF curves and E-values — all in in-browser R.
Added Complete Draft, with submission guidelines for 39 journals preset.
Added the STROBE check (beta). The AI reviews whether your manuscript follows the guideline.
Added Flow Chart. Build diagrams that follow CONSORT and STROBE.
RINKO.ai is now generally available. Statistical analysis through manuscript drafting in a single tool.
Write your next paper with RINKO.ai.
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AI output is a draft. Always review it yourself before submission.