NoBroker's ConvoZen.AI has entered West Asia with the launch of Alif and Rawi, two proprietary speech models purpose-built for the Arabic language as it is actually spoken. According to reports from Business Standard, these models are designed for multilingual, multi-dialect enterprise voice interactions across the MENA region. The expansion comes months after ConvoZen launched its conversational AI stack in India with frontier speech models Akshara and Ragini.
Alif is ConvoZen.AI's bilingual Arabic-English speech-to-text model, engineered to transcribe the messy, multi-dialect, code-switched reality of everyday Middle East and North Africa (MENA) conversations. As reported by Business Standard, Rawi is a native Arabic code-switching text-to-speech model, addressing the speaking side of the same problem. Both models are designed to handle the natural rhythm, intonation and multi-dialect flexibility that real-world business-to-consumer (B2C) and enterprise voice interactions demand.
According to Business Standard, Akhil Gupta, co-founder and chief technology officer of NoBroker, explained that every market they've entered has taught them the same lesson: people don't speak in the clean, formal register that most voice AI is trained on. They mix languages mid-sentence, carry regional accents, and expect a system that keeps up. Alif and Rawi aren't an adaptation of an existing model for a new market. They're built from the ground up for the way Arabic is actually spoken.
As reported by Business Standard, the two models are now deployed across more than 40 enterprises in nine Indian languages, including HDFC Bank, Tata AIG, Cars24, Apollo and Maruti Suzuki. Ragini, which works across six languages, is tailored for banking, financial services and insurance (BFSI), automotive, healthcare, direct-to-consumer (D2C) and edtech deployments. The Indian deployment demonstrates the scalability and effectiveness of NoBroker's conversational AI platform across diverse enterprise applications.
