LONDON: Hyperfusion, a UAE-based artificial intelligence cloud provider, and AI-driven speech and translation tech company CAMB.AI announced Tuesday a partnership to offer locally hosted, real-time voice AI and agent services for organizations across the Middle East and North Africa.
The move is the industry’s latest effort to enhance technological sovereignty in the region.
The two companies said the platform brings together CAMB.AI’s speech-to-speech, text-to-speech, and live translation capabilities, now running on Hyperfusion’s GPU cloud in the UAE.
The system supports over 100 languages, including Arabic dialects, and is designed to help businesses and media companies deploy voice agents and broadcast-grade translation tools with low-latency and regional compliance.
Executives said the new partnership allows data and workloads to remain in-country, addressing privacy and regulatory concerns.
Quentin Reyes, CEO of Hyperfusion, said the initiative aims to elevate AI offerings in the region, saying enterprises in the Gulf Cooperation Council region “don’t just want AI — they want trusted, sovereign AI that can power real products.
“With CAMB.AI, we’re giving builders in the region a voice and agent layer that is multilingual, low-latency, and compliant — so they can launch at scale, here.”
Building on CAMB.AI’s MARS7 text-to-speech model, the agent infrastructure offers features like barge-in, multilingual turn-taking, and support for conversational enterprise workflows.
The platform can be used for tasks ranging from customer service agents and field-ops assistants to media streaming and live commentary.
Organizations can access application programming interfaces for real-time workflows, voice controls, and deployment modes ranging from single-tenant to on-prem edge solutions. Monitoring tools provide analytics on latency and usage.
CAMB.AI recently partnered with Arab News to make the newspaper’s content accessible in over 50 languages.
CTO Akshat Prakash said the integration is intended to help regional developers and companies reduce language barriers while maintaining control over data and performance.
