AI Model

Overview

ZEAT's in-house AI model, trained with data collected from the platform, powers several advanced features. It includes a generative AI chatbot that serves as a learning tool for Web3 onboarding and provides gameplay guides, help, and troubleshooting. The AI model also drives the social algorithm for finding friends, clans, parties, matchmaking for battles, and game recommendations. Additionally, it includes an AI-powered game optimization tool to enhance the user experience.

Phase 1 Launch Generative AI Learning Tool

Generative AI chatbot for customer inquiries and learning how to use product - Web3 product learning tool for web2 user onboarding - Collect Web2 user painpoint data for AI training

Phase 2 Integrate game specific logic to generative AI

Generative AI chatbot can answer game specific questions for game onboarding - B2B solution for Game Developers - Collect game and gamer behavior data for AI training

Phase 3 Develop Predictive AI model using deep learning neural network

Train AI with gamer's raw social and game data (fully anonymized and unlabeled) - Explore predictive AI algorithm utility and implementation in game development