What it takes to build an assistant that understands how people actually talk, in any language.
Most voice assistants are built English-first. Yet people everywhere speak many languages, and often switch between them inside a single sentence. An assistant has to handle that naturally.
While building Arantika we focus on a few principles:
- Multilingual understanding. Arantika is designed to understand and reply in languages from around the world, and to follow mixed-language commands like “bedroom ki light on karo”.
- A natural voice. Clear, natural speech in the listener's own language makes responses easier to follow, especially for elders.
- Local-first privacy. Processing at home keeps conversations off third-party servers.
- Open integrations. The assistant should control devices and software already in the home rather than locking users into one brand.
These lessons apply to any business adding voice to its product, and our AI team brings them to client projects too.
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