Mira

Mira – Real-Time Deepfake Detection Agent

Mira is an AI agent that integrates with social media and messaging platforms to identify deepfakes or AI-generated manipulations in real time. It can scan images, videos, and audio streams on a user’s feed or an enterprise’s platform and instantly flag content that is potentially fake or manipulated. Mira’s analysis is continuous and context-aware, aiming to alert users (or moderators) of dubious content before it spreads.

Target Audience & Use Cases: Mira mostly targets the B2C segment: Everyday social media users, journalists, and content creators form a consumer segment for Mira via browser extensions or mobile apps. These users increasingly demand ways to verify content authenticity as they browse. In fact, 88% of U.S./U.K. consumers in a recent survey said they consider it essential to have tools that verify if online content is trustworthy. Mira’s real-time warnings can empower users to avoid sharing or believing fake media.

The need for Mira is evident by the surge in deepfake incidents and user concern. The number of deepfakes detected worldwide in 2023 was 10× higher than in 2022, and they are increasingly used in scams, impersonations, and misinformation. In one sector alone – cryptocurrency – 53% of firms have encountered deepfake video fraud targeting their business. Social networks and enterprises are actively seeking solutions: e.g. Microsoft’s Azure service introduced video authenticity tools, and startups like DuckDuckGoose offer browser extensions that “continuously check websites for photoshopped content”. This validates strong market demand for real-time deepfake detection. Mira’s competitive edge is its real-time, AI-driven approach focused on social media scale. It is designed for speed and scale, integrating with platforms to scan billions of user uploads. This meets users where they are (in their feeds) rather than requiring manual file uploads to a separate detector.

Mira’s Web3 infrastructure (MirageTech) means it could leverage blockchain for transparency, e.g. logging hashes of detected deepfakes to an immutable ledger for public accountability. This could differentiate it from pure AI solutions by providing verifiable audit trails (useful for researchers or as evidence to confront perpetrators). Mira fits a critical and growing need: preserving authenticity in daily digital interactions. Both ordinary users and large platforms show a willingness to adopt such tools to keep content streams credible and safe.