Narrow on purpose
We are not trying to beat giant translation suites at documents, cameras, and every enterprise workflow on day one. We are starting with plain text and APIs because code-mixed text is the painful wedge.
Multilingual people switch languages because it is faster, warmer, funnier, and more precise. Mixingo exists for that reality: Hinglish messages, Spanglish chats, Taglish comments, Singlish phrasing, Arabizi spelling, and every local mix that sounds natural to the people using it.
We are not trying to beat giant translation suites at documents, cameras, and every enterprise workflow on day one. We are starting with plain text and APIs because code-mixed text is the painful wedge.
Generic tools often push messy input into clean formal output. Mixingo is built to preserve intent, slang, relationship, and local phrasing when that is what makes the message understandable.
Consumer translation is often free. The business is the API: products that need to understand real user text in support, chat, communities, marketplaces, and AI workflows.
Mixingo is pre-launch. The promise must be earned through benchmarks, public examples, disclosed misses, and feedback from multilingual users who know when a line sounds wrong.
Code-mixing is not only an India problem. The pattern appears anywhere multilingual people live online: English with Hindi, Spanish, Filipino, Arabic, Malay, Tamil, French, German, and more.
A translation can be technically correct and still useless. The product standard is simple: would a real person understand the meaning without cringing?
The product gets better when real multilingual users stress-test it.
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