An AI startup building a foundational Large Language Model (LLM) tailored for Indian languages needed massive amounts of high-quality, conversational, and formal Hindi text data that wasn't available in open-source datasets.

The Challenge

Identifying and extracting clean Hindi text from 120+ diverse sources (news, forums, government domains, literature) while stripping out boilerplate HTML, ads, and mixed English text.

Our Solution

We engineered a highly distributed, focused crawler that traversed designated domains, utilized machine learning to identify the main article content (readability extraction), and used language-detection libraries to filter out non-Hindi sentences.

The Results

847 Million clean Hindi tokens delivered

18% benchmark improvement for their proprietary LLM

Completed the entire extraction in just 14 days

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