Academic and research
White-box analytics for research and teaching.
Analytics for academic research on a standard machine, with models you can examine and explain. TIMi covers all or part of the licence cost for eligible institutions.
Free if you are eligible
TIMi covers all or part of the licence cost for academic institutions, subject to eligibility criteria.
White-box by design
Every variable explained, every weight documented, so results can be examined and defended.
Runs on a standard machine
From a simple laptop to a private cloud. Billions of rows on a single standard server.
Our approach
Analytics for academic research, built to be examined.
Open to your own R, Python and JavaScript scripts, documented action by action, and built so that every analysis can be examined.
Anatella | Data prep engine
Connect to research data
Databases, text files, including compressed ones, and statistical files such as SAS, SPSS and Stata.
Script in your language
R, Python, JavaScript and C/C++ scripts run inside the same visual workflow.
Statistical tests built in
Tests such as the Student T-test are ready-to-use actions, with their output explained in the guide.
Modeler / Predictive Engine
Automatic variable selection
Thousands of candidate variables reduced to the ones that actually predict the outcome.
Algorithms competing mathematically
Several models benchmarked against each other, the best retained on statistical merit.
Rerun with consistent results
Seed parameters, on algorithms such as K-Means, let you run the same analysis again and get consistent results.
DOCUMENTATION
Learn it with the reference guide.
Every action is documented, with worked examples on public datasets.
Action by action
Each action comes with its parameters, a short description and an example of use.
Worked examples
Walkthroughs on public datasets, such as census income, with the conclusions explained.
Try it on your own data
Download the free trial and follow the guides with your own dataset.
Problems solved
What research teams fix with TIMi.
Results nobody can explain
A black-box model is hard to defend in a thesis, a publication or a classroom.
Datasets too big for the usual tools
Tools slow down or crash as datasets grow to millions or billions of rows.
Licence costs outside the budget
Commercial software fees are hard to fit into a research grant. Eligible institutions have all or part of the cost covered.
Tools students cannot look inside
Teaching analytics is easier when every step of a model can be opened and examined.
FAQ
Common questions.
Is TIMi free for universities and researchers?
TIMi covers all or part of the licence cost for eligible academic institutions. Check your eligibility by answering a few questions.
Can I use R or Python with TIMi?
Yes. Anatella supports R, Python, JavaScript and C/C++ scripting inside its visual workflows.
Can results be explained in a thesis or a publication?
Modeler is white-box: every variable is explained and every weight documented, which makes a model easier to examine and defend.
How large a dataset can TIMi handle on one machine?
TIMi processes billions of rows on a single standard server, with no cluster.
Can I rerun an analysis and get the same result?
Algorithms such as K-Means accept a seed parameter, so the same analysis can be run again with consistent results.
Does TIMi have university case studies?
We do not publish an academic case study yet. The documentation includes worked examples on public datasets, such as census income.
CHECK YOUR ELIGIBILITY
See if your institution qualifies.
Answer a few questions to find out if TIMi covers all or part of your licence cost, or start a free trial on your own data.
