Yepic AI

Yepic AI creates human-AI interfaces that use real-time avatars to manage complex interactions. The platform is designed for regulated enterprises, providing private, secure AI systems that are grounded in specific organizational data. Unlike traditional AI interfaces, Yepic AI focuses on creating emotive encounters by perceiving not just the words spoken, but also the voice, language, expression, and context of the user.

The system operates by reading a user's emotional state and intent. For example, if a user is concerned about a service disruption, the avatar can adapt by softening its tone, reducing its pace, and providing a bilingual response. This adaptive capability allows the interface to change based on the person's emotional state, rather than remaining static.

Deployment is flexible, supporting both cloud and on-premise private instances. The platform functions as an interface layer for complex enterprise systems, allowing operators to receive human-like answers without having to navigate multiple databases or complex operational manuals themselves. Use cases include command centers, in-car assistance, and public service stations.

Best for

• Regulated enterprises needing secure, private AI solutions.
• Frontline services requiring adaptive, human-like customer interactions (e.g., rail, transit).
• Operations centers that need complex data summarized into simple, contextual answers.
• Implementing AI in environments where emotional intelligence is critical to the user experience.
• Organizations requiring on-premise deployment for data sovereignty.

Frequently asked questions

How quickly does the avatar respond?

The system aims for a human response time of approximately 1 second.

Can the system be deployed on-premise?

Yes, the platform supports deployment in both cloud and on-premise private instances.

What kind of data does the AI use?

The AI is grounded in the enterprise's first-party data and connects interactions to approved knowledge and intent.

Does the avatar only respond to spoken words?

The system perceives voice, language, expression, and context, not just the literal words.

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