Technologies

AI model architecture for accurate customer service.

EVADO combines specialized AI models so text, images, audio, knowledge and complex decisions work together in a seamless support process.

AI Model Architecture

Advanced AI models working together.

EVADO combines large language, vision, speech-to-text, text-to-speech, embedding and reasoning models to process support inquiries accurately and deliver high-quality results.

Large Language Models

  • Write natural responses
  • Understand requests and intent
  • Guide customers reliably through support processes
  • Respond in the right tone

Vision & Embedding Models

  • Analyze screenshots and product images
  • Understand visual customer questions
  • Find relevant knowledge base content
  • Connect questions with internal knowledge

Speech-to-Text & Text-to-Speech

  • Convert voice messages into text
  • Process voice messages like standard chats
  • Generate natural-sounding voice responses
  • Enable voice interactions on WhatsApp

Reasoning Models

  • Assess complex cases
  • Identify uncertainty in an inquiry
  • Trigger ticket creation automatically
  • Pass full context to your team

RAG Architecture

Answers grounded in your latest business knowledge.

EVADO uses retrieval-augmented generation so the AI goes beyond generic answers. It finds and evaluates relevant content in your knowledge base, then incorporates it into the response in a controlled way.

Answers with internal context Fewer hallucinations through source matching Update content without retraining the model
01

Understand the Inquiry

Text, audio or images are analyzed and converted into a precise search query for the knowledge base.

02

Retrieve Knowledge

Embedding models find relevant content from FAQs, PDFs, product data, processes and service policies.

03

Generate the Response

The language model writes a natural response based on the retrieved content and customer context.

04

Check Reliability

Reasoning models assess uncertainty and automatically escalate complex cases as tickets.