About us
Built for the languages the other tools ignore
Most AI assistants are built in English, tested in English, and optimized for English. If you write in Urdu, Hindi, or Arabic, you get back a translation — not a real answer. Rafaygen exists because that's not good enough.
Why we built this
There are over 200 million Urdu speakers worldwide. Over 600 million Hindi speakers. Over 300 million Arabic speakers. Together that's more than a billion people who use AI tools designed around a language that isn't theirs.
Rafaygen detects the language of your input — including Roman Urdu, which no standard tool handles well — and responds in the same language. It doesn't translate your Urdu question into English, think in English, then translate the answer back. It stays in your language throughout.
What Rafaygen does
There are four things Rafaygen does, and we built each one to be the best version of itself:
- Deep thinking. For complex questions, Rafaygen reasons step by step before answering. You see the thinking chain — it's not hidden. If the reasoning is wrong, you'll know why.
- Live web research with sources. When you ask about something current, Rafaygen searches the live web and shows you exactly where each fact came from. Every source is a clickable link.
- Coding and problem-solving. Writes and explains code in any language. Handles full-stack TypeScript, Python, SQL, shell, and more. You can run JavaScript directly in the browser.
- Natural multilingual conversation. Picks up any language, responds in kind. Handles code-switching — mixing languages mid-sentence — the way real people actually write.
How the technology works
Rafaygen runs on Groq's inference infrastructure — currently the fastest AI inference platform available. Response streaming starts in under 500ms in most cases. The server auto-routes each message to the best model based on what you're asking, so you never have to choose between "fast" and "smart."
The language detection is server-side, script-aware, and vocabulary-weighted. Unicode ranges catch Urdu and Hindi scripts immediately. Roman Urdu detection looks at vocabulary — words like "kya," "hai," "karo," "bohat," and hundreds of others signal that the writer is using Urdu phonetics in Latin characters.
Privacy and your data
Guest sessions store nothing beyond the current browser tab. When you create an account, your conversations are stored in your own Firebase Realtime Database bucket — scoped to your account, not accessible to other users or to us in plaintext. You can delete your data at any time. See the privacy policy for full details.