Gulf Businesses Lose Millions to Language Barriers as New AI Platform Solves Arabic-English Code-Switching Problem
Kalimna AI achieves 95% accuracy on bilingual voice recognition for GCC business applications
RIYADH, RIYADH PROVINCE, SAUDI ARABIA, November 17, 2025 /EINPresswire.com/ -- Arabic-English code-switching during business calls continues to pose significant challenges for AI voice agents deployed across Gulf Cooperation Council countries, according to Kalimna AI, a UK-based Arabic voice AI platform.
The technical issue affects GCC voice AI implementations where customers frequently switch between Arabic and English within single conversations. Traditional Arabic speech recognition systems process each language independently, causing context loss during mid-conversation language transitions common in Gulf call center operations.
"A customer calling about hotel bookings might greet staff in Gulf Arabic, discuss room specifications in English, then negotiate pricing in Arabic again," said Ismail Ramadan, founder of Kalimna AI. "Most current Arabic voice AI systems treat this bilingual pattern as an error rather than normal speech behavior in Gulf markets."
Arabic Dialect Voice Recognition Technology
Kalimna's Arabic voice AI platform maintains conversational context across language switches by processing Arabic and English simultaneously. The system achieved 95% accuracy across six Gulf Arabic dialects in testing—including Qatari, Emirati, Saudi, Kuwaiti, Bahraini, and Omani variants—compared to industry-standard Arabic speech recognition accuracy rates of 60-70%.
The platform targets small and medium businesses through self-service deployment priced at $0.15 per conversation minute, eliminating upfront implementation costs typical of custom Gulf call center automation projects.
GCC Voice AI Market Context
Arabic represents approximately 460 million speakers globally but receives proportionally less AI development investment compared to other major language groups. Businesses across Qatar, UAE, Saudi Arabia, Kuwait, Bahrain, and Oman report difficulty sourcing AI voice agents capable of handling Arabic dialect voice recognition and Arabic-English code-switching patterns standard in regional business communications.
Kalimna AI reports serving over 100 businesses since launching earlier this year, with applications spanning medical appointment scheduling, customer support, and sales inquiries across GCC markets.
Platform Capabilities and Integration
The Arabic voice AI platform enables businesses to deploy voice agents through a no-code dashboard. Setup includes uploading business knowledge bases, configuring voice characteristics and Gulf Arabic dialect preferences, and integrating with existing phone systems.
The system connects with CRM platforms and calendar applications commonly used in Gulf call center automation workflows. Security features include end-to-end encryption and GDPR-compliant data handling protocols.
Ismail Ramadan founded Kalimna AI after operating a software development company for 12 years and identifying gaps in Arabic speech recognition capabilities among mainstream AI voice agent platforms. The company employs 25 people across the GCC region.
Availability
The platform is accessible to businesses at kalimna.ai
About Kalimna AI
Kalimna AI develops Arabic voice AI technology for businesses operating across Gulf Cooperation Council countries. The platform specializes in Arabic-English code-switching, Arabic dialect voice recognition, and Gulf call center automation for sectors including hospitality, healthcare, and financial services. Founded in 2025, the company is headquartered in the UK with regional operations throughout the GCC.
Media Contact:
Ismail Ramadan
Founder & CEO
Kalimna AI
ismail@kalimna.ai
Website: https://isiqat.com
Ismail Ramadan
Kalimna Labs
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