On June 22, 2026, Jeen Talk-the AI communication layer from Enterprise AI Operating System Jeen-announced a partnership with Deepdub to bring the latter's Emotive Text-to-Speech (eTTS™) technology into its contact center platform. The integration gives customer support teams AI voice agents that handle interactions 35% faster than the average human representative, across more than 100 languages and dialects, with a response time of roughly 200 milliseconds. The agents work across phone, chat, email, and WhatsApp, and automatically transcribe and analyze conversations with over 90% accuracy.
Emotive voice technology at contact center scale
Deepdub's eTTS™ technology, a form of advanced Text-To-Speech, is designed to preserve the full emotional depth of human speech-tone, pitch, pace, and intended emotion. It has been benchmarked as a top-tier model for expressivity among real-time TTS engines, delivering natural voice interactions at ~125ms latency. The company's voice solutions are already used by major Hollywood studios and global media companies; more information is available at deepdub.ai.
Ofir Krakowski, CEO & Co-Founder of Deepdub, said: "Jeen Talk's AI agents are handling millions of calls a month, and every one of those interactions is now powered by Deepdub's eTTS™ technology. What that means in practice is customer-facing AI that doesn't just respond accurately - it communicates with the emotional nuance and cultural integrity that builds real trust. That's what we've delivered for the world's leading studios, and it's what we're now bringing to enterprise at scale."
Deploying AI agents with enterprise controls
Jeen Talk's platform lets organizations build, deploy, monitor, and optimize AI voice agents that automate customer-facing interactions and assist human representatives with real-time AI prompts. Conversations are transcribed and analyzed to capture intent, generate summaries, detect sentiment, and flag compliance issues. The system converts unstructured call data into structured intelligence that can feed into broader workflows.
Dor Levy, Head of Jeen Talk & Voice AI, said: "This partnership delivers emotionally expressive, multilingual interactions to facilitate authentic experiences as customer interactions scale. Enterprises must be equipped to autonomously manage conversations in production environments, so we are building, deploying, monitoring, and optimizing enterprise-grade AI voice agents that automate customer-facing interactions and empower human representatives with real-time AI assistance. Ultimately, our vision is to enable end-to-end autonomous business processes without compromising on security. Regardless of where an organisation is in its AI adoption journey, we ensure enterprise-ready governance and compliance through flexible deployment options including on-prem for sensitive data."
The platform offers several capabilities aimed at contact center operations:
- Rapid Onboarding: Setup is 65% faster, allowing teams to go from concept to a live agent in under 10 minutes. Answer accuracy reaches 95% and quality assurance review time drops by over 90%.
- Flexible Deployment: Works on SaaS, private cloud, or fully on-premises-including air-gapped for highly sensitive environments. The LLM-agnostic design avoids vendor lock-in.
- End-to-End Operational Delivery: AI agents connect to enterprise systems, workflows, and internal processes through the broader Jeen platform, unifying insights in a single dashboard.
- Security and Compliance: SOC2 and ISO-ready with customer-controlled data residency, helping enterprises scale agents from pilot to production.
Why this matters for customer support professionals
Contact centers handle millions of interactions daily, and the combination of speed, language coverage, and emotional accuracy can directly reduce average handle time while improving customer satisfaction. The built-in analytics turn every call into a source of structured feedback, helping supervisors spot trends and coaching opportunities without manual review. For customer support teams adopting AI for Customer Support, the ability to run emotionally aware voice agents on-premises while maintaining data sovereignty addresses a longstanding barrier to AI adoption in regulated industries.
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