What is Datun.ai?
Transform inconsistent spreadsheets into standardized data automatically. Every vendor, partner, or system sends data differently: “Name” vs. “client_name” vs. “Nome.” Traditional tools break when faced with typos, can’t handle multiple languages, and require constant manual updates. • Automatically detect the right templates • Map fields with 98% accuracy across 50+ languages • Process 100,000+ rows per second with confidence scores • Deliver clean data via RESTful API or CSV/JSON export
Problem
Users struggle to clean and standardize inconsistent spreadsheet data from vendors, partners, or systems manually, which leads to typos, inability to handle multiple languages, and constant manual updates.
Solution
An AI-powered data cleaning tool that automatically detects templates, maps fields with 98% accuracy across 50+ languages, and processes 100,000+ rows per second, delivering standardized data via API or CSV/JSON exports.
Customers
Data analysts, business operations managers, and IT teams in enterprises dealing with multi-source data inconsistencies.
Unique Features
Multilingual field mapping (50+ languages), real-time processing at scale (100k+/sec rows), confidence scoring for data accuracy, and RESTful API integration.
User Comments
Eliminates manual data cleaning labor
Handles multilingual datasets seamlessly
Integrates smoothly with existing workflows
Improves data processing speed significantly
Reduces errors in standardized outputs
Traction
Claims 98% field-mapping accuracy, supports 50+ languages, processes 100,000+ rows/sec. Traction metrics like revenue or user count unspecified in provided data.
Market Size
The global data preparation tools market was valued at $7.8 billion in 2022, projected to reach $12.3 billion by 2027 (Statista).
