DeepBrain AI released real-time interactive AI avatars on its AI STUDIOS enterprise platform on April 29, delivering digital humans that hold live customer conversations with natural lip-sync, multilingual support across 150+ languages, and inference running entirely on-device. The company has passed 100 on-device AI agent deployments across banking, retail, healthcare, and public services worldwide.

On-Device Inference Architecture

The core differentiator is where the compute runs. AI STUDIOS executes avatar inference directly on the deployment device, whether that is a bank lobby kiosk, retail floor signage, hospital tablet, or mobile device for frontline staff. Listening, reasoning, and response generation stay local. According to Winger Daily’s report, this keeps conversations close to real time even on unstable networks, reduces cloud dependency, and keeps sensitive interaction data inside the device perimeter.

The system is model-agnostic. It connects to commercial AI services, open-source models, or a company’s in-house LLM. Enterprises upload manuals, policy guides, and compliance materials so the avatar speaks with domain-specific precision without retraining the underlying model. Secure links to CRM and ticketing systems carry conversations through to backend operations.

Enterprise Deployments

DeepBrain AI named specific deployment categories: AI banking kiosks in bank lobbies, retail AI signage on store floors, healthcare AI tablets in hospitals and public-service centers, and mobile AI assistants for frontline staff. Named customers include Shinhan Bank and Samsung Securities in the financial sector, with ongoing partnerships with SAP and public institutions including the Korea Deposit Insurance Corporation and Kyung Hee Cyber University.

“Real-time AI avatar agents are a practical solution that helps enterprises deliver more natural, efficient customer experiences across every touchpoint where they meet their customers,” said Sae-Young Jang, CEO of DeepBrain AI, in a statement reported by Winger Daily.

The Interface Shift

The launch represents a specific bet on embodied AI as the next customer interaction layer. Where chatbots reduced support costs but lost the human connection, and voice agents added tone but lacked visual presence, avatar agents combine visual, vocal, and conversational elements. The 100+ deployment figure suggests enterprise buyers are already past the pilot phase for this category, particularly in settings where a visible, responsive presence changes conversion or satisfaction metrics: bank branches, retail floors, hospital check-ins, and government service windows.

The open question is whether on-device inference can sustain the quality and latency users expect as avatar complexity and conversation depth increase, and whether the model-agnostic architecture creates enough switching flexibility to prevent vendor lock-in as the market matures.