Today, Arabic.AI and HeyBreez are jointly announcing a multi-year strategic partnership focused on delivering enterprise-grade voice AI — with Arabic at the foundation — to customers in the GCC and across the wider MENA region. The work starts now: customer deployments are already live in banking, public services, and hospital networks.
Why this matters now
For years, Arabic speakers calling into enterprise systems have worked around the technology rather than with it. The underlying issue was rarely the language itself — the foundations of most voice stacks were built and tuned for English-first markets, which left Arabic as an afterthought in every layer from speech recognition to conversation state. This partnership is a deliberate attempt to rebuild the foundation rather than keep patching over it.
The gap has consequences well beyond awkward phone calls. Banks lose retention. Health systems under-serve non-English speakers. Government portals force citizens into workflows that don't match how they actually communicate. Closing the gap requires both halves of the problem solved together: a native-language model that works in every dialect, and an operational platform that can run it reliably under real production load.
Infrastructure meets language intelligence
HeyBreez contributes the operational platform. Their stack handles the concrete plumbing — low-latency real-time streaming, voice-activity detection tuned to conversational rhythms, multi-agent orchestration for complex flows, and direct telephony integration with regional carriers. For enterprises, it removes the six-month engineering lift of assembling these components piece by piece.
Arabic.AI brings the linguistic layer. The Pronoia model family covers Modern Standard Arabic alongside Gulf, Levantine, Egyptian, and Maghrebi dialect variants, and handles the code-switching patterns — Arabic to English, English to Arabic, often mixed within a single sentence — that define how Gulf professionals actually speak. Beyond raw linguistic coverage, the models are trained on context specific to the region: formal banking vocabulary, medical terminology, legal register, public-service phrasing.
The partnership aligns the two layers into a single deployment path. What was a ten-vendor integration becomes one contract and one SLA.
“People keep treating Arabic as a translation layer. It isn't — it's a language spoken by four hundred million people, with dialects that carry their own identity, their own context, their own assumptions. When we founded Arabic.AI, the whole point was that Arabic users shouldn't have to contort themselves to fit technology that wasn't built for them. With HeyBreez, that work now runs at operational scale.”
Built for what the market actually needs
Four hundred million Arabic speakers have been served by voice AI designed elsewhere. The pace at which GCC governments are rolling out AI-driven citizen services is accelerating, and regional enterprises are under pressure to automate high-volume contact-center work. The market demand was established years ago. The supply side is only now catching up.
The joint Voice Agentic Platform — Arabic.AI's language capabilities running on HeyBreez's orchestration — gives organizations a production-ready path for voice AI across call centers, kiosks, IVR replacements, and embedded assistants. Early production deployments cover institutions across banking, healthcare, and public services, with measured call volumes running inbound support, outbound outreach, and fraud-prevention flows entirely in Arabic with seamless Arabic–English code-switching.
Use cases currently live in production include:
- Contact-center automation for retail banking, handling balance inquiries, card-dispute intake, and transaction confirmations.
- Patient-facing triage for hospital networks, triaging incoming calls by symptom severity and routing to the correct clinical team.
- Conversational account servicing for telecom operators, handling bill queries, package upgrades, and network troubleshooting.
- Citizen-facing service delivery for public-sector agencies, answering tier-one questions and handling appointment scheduling.
“Every generation of communication technology has eventually consolidated into infrastructure — and that's the layer the durable platforms get built on. HeyBreez is designed to be that layer for voice AI. When Arabic.AI runs natively on it, Arabic voice becomes something enterprises can deploy with the same operational confidence as any mature piece of infrastructure.”
What comes next
As regional Arabic AI reaches its inflection point, Arabic.AI and HeyBreez are treating this partnership as the foundational step rather than the destination. The 2026–2027 roadmap adds three things: expanded dialect depth particularly in Levantine and Maghrebi variants, a sovereign deployment option for regulated industries and government tenants, and deeper agentic capabilities so voice systems can initiate complex multi-step actions rather than just respond to queries.
Additional partnership announcements — including vertical integrators for healthcare and banking — are expected through the next two quarters.
Contact
- Arabic.AI partnershipspartnerships@arabic.ai
- HeyBreez enquirieshello@heybreez.ai
About Arabic.AI (formerly Tarjama)
Arabic.AI is the region's first Arabic-native AI ecosystem, built for enterprises and governments across the GCC and wider MENA. Powered by LLM-X, its proprietary Arabic-first language model, Arabic.AI delivers a family of Arabic AI models, an enterprise agentic platform, and a growing library of specialised agents covering legal, compliance, operations, and healthcare workloads. Headquartered in the UAE with local operations across the GCC, and trusted by 700+ leading enterprises across the region.
About HeyBreez
HeyBreez is the operational layer for voice AI — a real-time infrastructure stack built for production-grade voice deployment across telephony and digital channels, with no engineering overhead required from customer teams. HeyBreez customers run voice systems across contact centers, kiosks, and embedded applications in finance, healthcare, and public services.