AI Chatbot (Web)

Smart, accurate support for your customer touchpoints on the web.
A high-performance chatbot that can be easily embedded into a website or internal system.
It uses RAG to draw on your company's own FAQs and manuals, providing instant, accurate answers. Scenarios can be designed in a GUI, and workflows can be automated without code.

Key features

The chatbot automates FAQ responses and guidance on your services through text.

Knowledge integration
Instant, accurate answer generation using FAQ documents and knowledge bases.
Customizable UI
Seamless integration into your website with brand-specific design.
Real-time system integration
Real-time connectivity with CRM systems, reservation systems, and databases.
Analytics and learning
Continuously improves from conversation logs and user satisfaction data.

Benefits of the TIGEREYE AGENT integrated approach

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

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

Scenarios (stages)

Specific conversation scenarios (sales pitches, explanations of important matters, interviews, etc.) can be configured step by step, from opening to closing.
Example: Sales support

  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

Related products and ways to work with us

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

Toward workplaces where AI is simply part of everyday work.

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