How AI Cuts Hours of Manual Work?

Studies find that data analysts spend up to 80% of their time cleaning data before they can even begin analysis. Messy, incomplete, and inconsistent data slow down workflows, introduce errors and often lead to poor model performance. Despite its critical role, data cleaning remains a tedious and repetitive process.

What if a tool could automate it?

Introducing AutoClean AI, an intelligent data cleaning tool that not only automates data cleaning but also provides stunning visualisations for exploring variable distributions and relationships. With this tool, what once took hours of manual effort can now be done in minutes, allowing data analysts and scientists to focus on more difficult tasks like model building and insights generation.

A smarter way to preporcess data

AutoClean AI is designed to eliminate the inefficiencies of manual preprocessing. Its key features include:

01
Smart data type recognition
Automatically detects and corrects data types to ensure numerical values aren’t mistakenly stored as text and vice versa.
data-type-recognition
number-extraction
02
Intelligent
number extraction
Extracts numeric values from messy text columns.
03
Year extraction
Extract year from date columns.
year-extraction
auto-visualisations
04
Auto-generated visualisations
Instantly creates the most suitable charts for your data.
05
Intelligent text correction
AutoClean AI features an advanced text correction mechanism that automatically fixes inconsistencies in categorical data using Fuzzy Matching. It can recognize and corrects similar but inconsistent text entries.
text-correction
standardized formatting
06
Standardized formatting
Removes excess spaces, corrects typos, and ensures consistency.
07
Missing value handling
  • πŸ“Œ > 50% missing values β†’ Removed
  • πŸ“Œ Numerical data:
    • Normally distributed β†’ Filled with mean
    • Highly skewed β†’ Filled with median
  • πŸ“Œ Categorical data: Filled with "Unknown"
missing-value
formatting
08
Outlier Detection
AutoClean AI employs Isolation Forest, an unsupervised Machine Learning algorithm specifically designed for highly accurate and efficient outlier detection.