WELCOME - WELCOME - WELCOME

Modular
Software Solutions
for Seamless
Data Analytix

MODULES - MODULES - MODULES

filengineer

Say goodbye to getting lost in complex project directories for importing files. Generate Pandas code for importing as many files as necessary ...

datarchitect

View all your datasets in one neat interface. Run your code in the console and see the results immediately

View all your datasets in one neat interface. Run your code in the console and see the results immediately

graphessor

Modularity means flexibility!

"Every analytics project is unique. That’s why we offer a modular approach, allowing you to select only the tools you need, exactly when you need them. This way you to customize your data analytics toolkit for ultimate flexibility and efficiency."

USE CASES - USE CASES - USE CASES

1

Abby is a data analyst in a large consulting firm. As part of her day-to-day tasks, she needs to pull datasets from different folders that are a part of a complex project structure. In order to save time, Abby uses Filengineer for generating code for file import, leaving her more time and energy for other, more important tasks.

2

As member of a data team, one of Jamie's task is to inspect datasets from various stakeholders before they are added to the analysis pipeline. The datasets are normally very big and Jamie only needs to preview a few rows. Jamie uses Filengineer to quickly generate code for importing files, modifies it slightly and runs in Datarchitect, where he can easily preview each dataset.

3

Charlie Kim, a data scientist, ensures the quality of predictive modeling workflows by inspecting and validating code. Using Datarchitect, Charlie runs code in a controlled environment, where all variables—datasets, preprocessing steps, model parameters, and evaluation metrics—are detected and displayed in dropdowns for quick review. This streamlined process helps Charlie efficiently identify errors, provide feedback, and maintain high-quality models.