Collect the rows
Import a spreadsheet, or connect directly to Google Sheets, a SQL database, or an API. Solvestat keeps the original source close by.
Solvestat is a statistics platform built on WebAssembly. Clean your data, run the right test, visualize the result, and share a polished report, with your team working alongside you the whole way.
Each stage carries its assumptions and inputs forward, so nothing gets lost moving from raw data to a finished result.
Import a spreadsheet, or connect directly to Google Sheets, a SQL database, or an API. Solvestat keeps the original source close by.
Move from descriptive statistics to comparisons, with outliers and inconsistent formats flagged before you run anything.
Charts build as the analysis settles, and template reports turn common analyses into presentation-ready output automatically.
Export to PDF, HTML, or PowerPoint, or share a link directly, with a full version history of who changed what.
The latest updates from the Solvestat team.
Comment directly on a chart, tag a teammate, or hand off a fully versioned dataset. Flag an outlier, get a reply in minutes, and mark it resolved without leaving the workspace. Everyone works from the same numbers, the same charts, and the same history, so nothing about the analysis gets lost between people.
From cleaning raw data to explaining a finished result, every stage lives in the same connected workspace.
Smart cleanup suggestions catch outliers and inconsistent formats automatically, in plain language you can act on immediately.
Chain cleaning, transformation, analysis, and reporting into one repeatable workflow, with every assumption visible.
Template reports and industry-specific starting points turn a finished analysis into something anyone can act on.
A complete overview of our platform's capabilities, from the tools available today to what's on the horizon.
Summarize any dataset with means, medians, variance, and distribution shape in a single pass.
Distribution tests run automatically to confirm a test's assumptions hold before you rely on the result.
Measure the strength and direction of relationships between variables.
Compare means between two groups with the right variant chosen for your data.
Compare means across three or more groups in one analysis.
Run distribution-free alternatives when your data does not meet parametric assumptions.
Test relationships between categorical variables.
Model relationships between variables and predict categorical or continuous outcomes.
Generate the plots that matter for your analysis, built directly from your results.
Every relevant test reports an effect size alongside its significance, with no extra setup.
Measure the internal consistency of a scale or questionnaire.
Extend group comparisons to control for covariates or handle multiple outcomes at once.
Go beyond a single reliability coefficient with a fuller set of reliability measures.
Work out the sample size a study needs, or the power a completed study achieved.
Get robust confidence intervals through resampling, without relying on distributional assumptions.
Evaluate how well a classifier separates outcomes across every threshold.
Quantify how closely raters or methods agree with each other.
Dig deeper into model fit with diagnostics that go beyond the basics.
Start working with trends, seasonality, and autocorrelation in sequential data.
Handle grouped or repeated-measures data with both fixed and random effects.
Model time-to-event data, including censored observations.
Uncover the latent structure behind a set of observed variables.
Reduce dimensionality while preserving as much variance as possible.
Group observations by similarity without predefined labels.
Model complex relationships between observed and latent variables together.
Test whether a variable explains or changes the relationship between two others.
Model outcomes that don't fit standard linear assumptions, with the right link function for your data.
Bring prior knowledge into your analysis and reason in terms of probability distributions.
Combine results across studies into a single, weighted estimate.
Reach for the less common multivariate techniques when a standard test isn't enough.
Outcome-driven tests built for business questions, with the statistics handled behind the scenes.
Send results as a PDF, or share a link directly from the workspace with graphs and collaboration built in.
Connect directly to Google Sheets and keep your analysis in sync with the source.
Organize your datasets, analyses, and reports together under one project.
Chain cleaning, transformation, analysis, and reporting into one repeatable pipeline.
Solvestat flags outliers and inconsistent formats automatically and proposes fixes in plain language.
Start from templates built for marketing, sales, HR, finance, and more.
Get notified the moment a key metric moves, before you go looking for it.
Set shortcuts for the tasks you run most and move through the workspace faster.
Add teammates, form groups or organizations, and share access with a single toggle.
Explains your data, suggests which tests apply, and runs its reasoning through our Rust backend for higher accuracy.
Run computationally intensive analysis on Solvestat's infrastructure for more reliable, larger processing.
Configure recurring reports with your own APIs and databases.
Learn the workspace and the statistics behind it with guides built into the product.
Personalize the look of your workspace.
Use Solvestat in your own language, with more languages added over time.
Join the waiting list for features before they roll out more broadly.
Bring in data from formats beyond CSV.
Message teammates without leaving the workspace.
Explore the workspace with ready-made datasets before bringing in your own.
Take Solvestat with you outside the browser.
Full control over every test, assumption, and parameter, for people who want to drive the analysis themselves.
Purely outcome-driven. Solvestat recommends the analysis, runs it, and explains the result in plain terms.
We are rolling out access in waves. Join now and we will email you when your spot opens up.
Can we flag this outlier?
EA