How Analog AI works

Analog AI combines two powerful AI disciplines:

• Machine Learning, mainly Large Language Models (LLMs) and other advanced Natural Language Processing (NLP) technologies, and
• Symbolic AI, for deep reasoning and meaning understanding.

This unique combination enables Analog AI to truly understand the intent behind every interaction, perform advanced logical reasoning, and output answers with human-like emotional expression.
As of March 2025, Analog AI’s brain consists of over 400 specialized modules.
Each module focuses on key aspects of:

• Logical reasoning
• Emotional intelligence
• Memory and long-term learning

These modules interact dynamically, mimicking how human cognitive processes intertwine — enabling agents to respond naturally, with appropriate emotions, based on context.
We also use Reinforcement Learning from Human Feedback (RLHF), allowing Analog AI’s agents to:

• Recognize different authorities
• Learn and adapt through ongoing real-world interactions