Introduction

At MirageTech, we are building a Web3-native solution to one of the most urgent challenges of the AI age: distinguishing synthetic content from authentic digital media across text, images, and video by developing our proprietary deepfake detection AI models. As generative AI and deepfakes continue to rise, public trust in digital content is rapidly deteriorating. According to a 2024 Adobe study, approximately 84-88% of people are concerned that online content can be manipulated to spread misinformation, while an equally high percentage believe that having tools to verify content trustworthiness is essential.

To address this, we’ve developed an integrated suite of products designed to restore confidence in digital authenticity:

• Mira – A real-time AI agent for deepfake detection on social media and digital platforms. Mira monitors and flags manipulated images, videos, and audio in users’ feeds in real time.

• VeriFi – An on-chain credibility scoring system that evaluates content consistency and source reputation. These scores are recorded on a public blockchain to ensure transparency and portability.

• OASIS – A community-driven prediction market where users can wager on the authenticity of content. This crowdsourced validation mechanism not only verifies content but also generates high-quality labeled data to continuously improve our AI detection models.

❌ The Problem

The line between real and synthetic is vanishing. With the explosion of generative AI:

• Deepfake scams have increased by 900% in 2024 alone

• Political misinformation is spreading unchecked through manipulated media

• Financial fraud is being perpetrated via synthetic IDs and voice clones

• Social trust in digital content is eroding rapidly

• Platforms lack standardized tools for real-time, verifiable content checking

This creates a massive risk not only for individuals and communities but also for businesses, governments, and creators.

✅ Our Solution

Mirage builds the global truth protocol — a system to analyze, verify, and log digital content authenticity at scale.

• Real-time deepfake detection for text, image, video, and voice

• Layered AI models trained on millions of real/fake samples

• Metadata forensics to examine compression artifacts and EXIF

• Immutable on-chain proof leveraging blockchain

• Social agent bots to bring verification to everyday users

• Community-powered prediction markets to gamify and crowdsource judgment

• Authenticity & Credibility scores for users and creators, building trust from the ground up