Two modules for working with data

From data to conclusions your analysis can support

Have a question about your data?
Choose files and start a conversation in TheIntegrity.
Want to test a hypothesis?
TheUnfold selects a supported test, checks its requirements and explains why it used that method.

Your data is protected in accordance with GDPR and is not used to train AI models.

75%

Progress

TheUnfold

Add data
Profile dataset
Research question
Analyse hypothesis
Result

Hypotheses

1 active

Reports

0 generated

TheUnfoldFlagship

Datasets

Add files to Storage and choose the data you want to work with

Number of datasets

1

datasets uploaded

Total Size

9.92 KB

storage used

Last uploaded

2 days

ago

rainfall_2025.xls

9.92 KB | Uploaded 2 days ago

Active

Do you have a question about your data or a hypothesis to test?

Use TheIntegrity to work with selected files or a completed result.
Use TheUnfold to test one hypothesis against a profiled dataset.

TheIntegrity

Questions about selected files

Start with the data you want to ask about

Choose one or more files from Storage and start an Explore conversation. Every conversation has a defined context from the first question.

TheUnfold

Flagship

Hypothesis testing, step by step

Start with a research question

Create a notebook for one hypothesis and work with one profiled dataset.

How it works

Use TheIntegrity to work with selected files or a completed result.
Use TheUnfold to test one hypothesis against a profiled dataset.

Test one hypothesis against a profiled dataset

1

Add and profile data

TheUnfold works with a profiled dataset attached to the project.

2

Define a research question

Create a notebook for the single hypothesis you want to test.

3

Run the analysis

TheUnfold selects a supported test for the question and data, then checks its requirements.

4

See what the analysis did

Alongside the result, review the test, recorded steps, available charts and explanation.

About Us

See what the result says — and how it was reached

A statistical result is more useful when you know whether the test suited the question and data.

Why we built DataMinder

We know this point from research: the data and question are ready, but choosing a test and interpreting the result still raises doubts.

That is why we are building DataMinder. TheIntegrity lets you ask questions about selected files. TheUnfold shows which test it ran and why.

We want to make the path from data to a conclusion easier to follow without hiding the context, test requirements or limits of the analysis.

Our vision

Make rigorous data analysis more accessible

Build statistical understanding instead of replacing research judgment

Help users understand methods as well as results

Create tools that fit the real way researchers work

What matters to us

Scientific Rigour

We do not simplify statistics at the expense of correctness. We show which test was run, what was checked and where the analysis stops.

Clarity

We explain analysis in plain language so users understand the result and how it was reached.

Responsible AI

AI supports planning and explanation. It does not replace expertise, judgement or researcher responsibility.

Researcher-Centred Design

We design DataMinder around the real needs of students, researchers, and research teams.

Meet the team

AL

Andżelika Lorenc

CEO

Researcher at Nicolaus Copernicus University in Toruń with more than 8 years of experience in statistics and data analysis. Leads product development and scientific direction.

NK

Nazar Kalinichenko

CTO

Full-Stack Engineer with more than 5 years of experience in web development. Leads platform architecture, cloud infrastructure, and product engineering.

SK

Serhii Krasnoiarskyi

TheUnfold AI Lead

Data Engineer and AI Solutions Builder with more than 5 years of experience designing scalable data pipelines and LLM-based analytics.

BO

Bohdan Oliinyk

TheIntegrity AI Lead

AI Engineer with more than 4 years of experience in artificial intelligence, specialising in neural networks, computer vision, and LLM-based agents.

JS

Jakub Szczepkowski, PhD

Marketing Strategy Manager

Brand and Product Strategist with more than 10 years of experience in positioning, product growth, and monetisation strategy.

MK

Maja Kaźmierkiewicz

Digital Marketing Manager

Digital Marketing Manager with more than 4 years of experience building brand visibility through social media and performance marketing.

Frequently asked questions

Answers about DataMinder, supported analyses and data protection.

Let’s talk about your data

Have a question about DataMinder, need technical support or want to discuss working with a university or research team? Send us a message.

Email

We usually reply to general enquiries within 24 hours.

New DataMinder resources and updates

Receive updates about new features, product testing and data analysis resources.

No spam. Unsubscribe at any time.