Building Multi-Language Support for 500 Million Users
The engineering challenges of supporting 12 Indian languages and how we solved them with innovative NLP techniques.
Varun Sharma
Founder
India's Language Diversity
India has 22 official languages and hundreds of dialects. When we set out to build Agent Rush, we knew English-only support wouldn't cut it. Over 90% of India's internet users prefer content in their native language.
The Technical Challenges
1. Script Diversity
Indian languages use multiple scripts—Devanagari, Tamil, Telugu, Bengali, and more. Each has unique characteristics:
2. Code-Mixing
Indians naturally mix languages. A single message might contain:
"Yaar, mera order kab aayega? Maine last week order kiya tha"
This Hindi-English mix is called "Hinglish" and it's incredibly common. Our models needed to understand it.
3. Transliteration
Many users type Indian languages using English characters:
Our Solution
Language Detection
We built a multi-stage detection system:
Custom Models
We fine-tuned language models specifically for:
Real-Time Translation
For agents that need to respond in different languages, we built a translation layer that preserves:
Results
Building for India taught us that language support isn't just translation—it's cultural understanding.
Varun Sharma
Founder
Building the future of customer support at Agent Rush. Passionate about AI, product design, and creating delightful user experiences.