AI Avatar (Web)

Delivers an experience on the web that feels just like "talking with a person."
A next-generation interface that "sees, listens, and speaks."
A 2D, 3D, or live-action AI avatar that combines facial expressions, voice, and gestures. Ideal for scenarios that call for genuine conversation, such as customer service, education, and exhibitions.

Key features

On the web, the avatar holds natural conversations using voice and facial expressions.

Emotional expression
Renders facial expressions and gestures in real time, synchronized with TTS-generated speech.
Visual recognition
Uses a multimodal LLM to process video and image input from the user and respond with awareness of context.
Flexible avatars
Choose 2D, 3D, or live-action avatars to match your brand identity.
Integration with standard websites
Can be embedded seamlessly into your existing site.

Adapting responses to the user's understanding and interest

Scores the user's level of understanding, interest, and emotional state in real time to dynamically optimize responses.

  • Facial expression scoringAnalyzes the user's facial expressions via camera and converts them into scores (level of understanding, level of interest, emotional positivity).
  • Automatic dialogue stage detectionAnalyzes the conversational flow and automatically determines the dialogue stage (opening, needs assessment, closing, etc.).
  • Response adjustmentOptimizes prompts based on the scores to adjust the output of the LLM (large language model).

One platform, multiple conversation channels

The conventional approach (siloed systems)
Separate development and maintenance are required for each channel. Different responses across channels confuse users. Knowledge bases and business logic end up implemented redundantly. Improvements on one channel don't carry over to the others.
The TIGEREYE AGENT approach (integrated architecture)
One platform centrally manages every channel. Responses are unified across all channels, built on the same knowledge and logic. A common knowledge base and business logic are shared across all channels. Improvements from any channel are reflected across every conversation.

Flexibility in choosing an LLM

You can choose not only internet-connected, API-based LLMs, but also local LLMs and fine-tuned in-house models.
Because you can pick the best configuration for your security requirements, network setup, response speed, and more, it can be deployed across a wide range of industries and environments.

Scenarios (stages)

Conversation scenarios such as sales pitches, explanations of important matters, and interviews can be configured step by step, from opening to closing.

  1. OpeningGreeting and sparking interest
  2. Needs assessmentListening to the customer
  3. Product proposalExplaining the benefits
  4. Handling questionsResolving concerns
  5. Purchase proposalEncouraging a decision
  6. ClosingThanking the customer and laying the groundwork for next time

The conversation is optimized in real time by analyzing user reactions.

Industries and use cases

AI avatars aren't limited to corporate PR. They can be used in many industries, for reception, customer service, recruiting, education, call centers, and more.

Start by telling us about the challenges you want to solve with AI

Toward workplaces where AI is simply part of everyday work.

Discuss Your Challenges