For researchers
Data analysis software for researchers, without the code.
Run the statistics your study needs on survey, clinical or experiment data. Ask in plain English, see the test, its inputs and its assumption checks behind each result, and keep the file on your own computer by default.
The Mac version is expected in late October 2026. Windows is available now.Free during early access, email sign-in. Mac expected in late October 2026.Free during early access for Windows 10 and 11. Mac expected in late October 2026.
Opens SPSS, Stata, SAS and Excel files. Analysis works offline once set up, with a licence check online at least every 14 days. Whether your data may be used with CLAIR is your institution's call.
Did follow-up scores differ between the treatment and control groups?
- Group sizes
- Treatment n = 64, control n = 61
- Evidence under the test's assumptions
- p = 0.013
- Effect size: how big the difference is
- Cohen's d = 0.45, small to medium
- 95% CI for d: 0.09 to 0.81
Assumptions checked
- Similar spread
- Enough rows per group
Example result card, not real data.
Who it is for
For people who have to analyze their own data.
Graduate students, research staff and faculty who need the right test, a clear result and a record of what they did, and who do not have a statistician down the hall.
Survey and Likert data
“Is satisfaction higher in the treatment group than in the control group?”
Open your Qualtrics or Excel export. Scale labels are kept, codes like -99 are flagged as missing, and you can check how well a set of items hangs together.
Thesis and dissertation analysis
“Does the effect of the program depend on prior experience?”
Run the comparisons your committee expects and get the numbers with an effect size, a plain-language summary and a Methods paragraph to adapt.
Clinical chart review
“Which factors are linked to readmission within 30 days?”
Work on a REDCap or hospital extract on your own computer, from group comparisons to logistic regression and time-to-event analysis. Use it to study past cohorts, not to decide care for individual patients.
Education research
“Do scores differ between classrooms once students are grouped by class?”
CLAIR notices when rows are not independent, such as students in classrooms, and can use a model that allows for the grouping.
Lab and experiment results
“Does the mean response differ across the four doses?”
Compare several groups, follow up with pairwise tests, and see when a rank-based test is the safer choice.
IRB-governed data
“How do I analyze this file without uploading it?”
By default everything runs on your own computer, so the file does not go to a cloud service unless you connect an outside AI service yourself. Whether you may use the data with CLAIR is for your institution to decide.
The right test
Statistics with the assumptions checked.
Choose what you want to compare and CLAIR runs a suitable test, checks its assumptions and tells you when they do not hold. A test weighs the evidence under those assumptions, and an effect size, where it applies, describes how big a difference is. A significant result is not proof of cause.
Analyses CLAIR can run
- T-tests
- ANOVA
- ANCOVA
- Repeated-measures ANOVA
- Chi-square
- Correlation
- Linear regression
- Logistic regression
- Mixed models
- Mediation and moderation
- Factor analysis
- Cronbach's alpha
- Kaplan-Meier and Cox
- Mann-Whitney and Kruskal-Wallis
- Power and sample size
Mean follow-up score by group
Example data. In CLAIR, click a mark to see the rows behind it.
Your data, your files
Open the files you already have.
Drop in an SPSS, Stata, SAS or Excel file and CLAIR works out the columns for you. Nothing to convert first.
Labels stay attached
Variable labels, value labels and declared missing-value codes come across from .sav, .dta and .sas7bdat files, so a 1 to 5 scale reads as its words.
Survey exports open correctly
Qualtrics exports have their extra header rows read as headers, not as respondents. REDCap exports and data dictionaries are understood too.
Clean with a record
CLAIR proposes fixes in plain sentences. You confirm them and every change is recorded. Many changes can be undone, but not every operation can, so keep your original file.
Results that show their work
A record you can hand to a reviewer.
Answers to questions about your data show the rows and the calculation. Statistical tests show the test, its inputs and its assumption checks. Predictions show which columns the model used and how accurate it was. Written summaries are written by the AI model and say so.
A Verified label means the number came from a calculation that actually ran on your data and passed CLAIR's automatic checks. That does not prove the question was understood the way you meant it, so the method and the query still deserve a look.
Results stay tied to the version of the data that produced them, and CLAIR writes a plain-language Methods paragraph from the steps you took. It is not a full record of your methods, so keep your own notes.
Methods
Values of -99 were treated as missing. The treatment and control groups were compared with a t-test, and its assumptions were checked.
Example. The paragraph only describes what was done in your session.
An honest answer
Is it an SPSS alternative?
If you would otherwise reach for SPSS, jamovi or JASP for the common analyses in a thesis or a study, such as comparing groups, correlation, regression, scale reliability, factor analysis and mediation, CLAIR can do that work. It is free during early access, so there is no licence to buy.
It is not a full replacement. CLAIR does not cover every procedure that SPSS, Stata or R offer, and it is not built for writing syntax or macros. If your method is unusual, or your committee expects a specific procedure, check the list of analyses above before you rely on it.
What CLAIR adds is plain English in place of menus, results that show their basis, and a file that stays on your computer by default. It does not replace a statistician. The AI can still be wrong, so review the method for anything that matters.
A boundary
For exploration and research, not for deciding about individuals.
CLAIR has not been validated for making decisions about individual people. Do not use its outputs, predictions or statistics to decide, rank or screen a specific person for clinical care, a student's admission or grading, hiring or pay, credit, insurance or housing, or benefits and law enforcement decisions. Analyzing outcomes across a past cohort is fine. See the Acceptable Use Policy.
Nothing is uploaded by default.
The analysis runs on your own computer and works offline once set up, with a licence check online at least every 14 days. CLAIR connects to a short published list of places for your licence, updates and model downloads, and does not send your data to them. If you connect an outside AI service yourself, your questions and the data needed to answer them go to that service.
Questions
Questions from researchers.
Is CLAIR an SPSS alternative?
For common analyses, it can be. Comparing groups, correlation, regression, scale reliability, factor analysis and mediation are covered, with no licence to buy while CLAIR is free during early access. It is not a full replacement for SPSS, Stata or R: it does not cover every procedure, and it is not built for writing syntax. Check that the methods you need are on the list above.
Can it open SPSS, Stata and SAS files?
Yes. It reads .sav, .dta, .sas7bdat and .xpt files, and keeps the variable labels, value labels and missing-value codes the file declares. It also opens Excel, CSV, Parquet, JSON, SQLite and R data files.
Can I analyze Qualtrics survey data without coding?
Yes. A Qualtrics export opens with its header rows read as headers, not as respondents. Ask a question in plain English, or choose a statistics test and let CLAIR check its assumptions and report an effect size.
Is my research data uploaded anywhere?
Not by default. The analysis happens on your computer, and CLAIR does not send your data to the places it connects to. It leaves only if you choose to send it: if you connect an outside AI service, CLAIR sends it your questions and the data needed to answer them, and anything you email us, such as a screenshot or diagnostics file, reaches us. Do not send us patient, student or other confidential data. Whether you may use CLAIR with a given dataset is a decision for your institution, your IRB or your data owner, and CLAIR does not claim approval or compliance for you.
Does it check statistical assumptions?
For the tests it runs, yes. Before it reports a result it checks the test's assumptions, and it tells you when they do not hold. A test weighs the evidence under those assumptions, and where it applies the result includes an effect size, which describes how big a difference is. A significant result is not proof of cause.
Can I use it for a thesis or dissertation?
CLAIR can run the analysis and write a plain-language Methods paragraph from the steps you took. You are still responsible for the question, the method and the interpretation, so check the approach with your advisor or a statistician.
Analyze your data. Keep it to yourself.
Download CLAIR, set it up once, then open your own file and ask your first question. Your file stays on your computer by default.
The Mac version is expected in late October 2026. Windows is available now.Free during early access, email sign-in. Mac expected in late October 2026.Free during early access for Windows 10 and 11. Mac expected in late October 2026.