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Reality Defender

Reality Defender provides multimodal deepfake detection solutions to secure enterprise and government communication channels against AI-generated impersonations. Their platform utilizes an ensemble of AI models to detect manipulated media across audio, image, and video formats in real time. The company offers APIs and SDKs for automated alerts and flexible deployment across various tech stacks to prevent fraud and protect brand integrity.

East New York, United StatesFounded 2021575K+ followers
Updated 20 months ago

Funding

$48.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

+8
Funding rounds are not available yet.

Founders

Product

Problem

The proliferation of hyper-realistic, AI-generated content, including deepfakes, voice clones, and manipulated media, presents a significant threat to enterprises, governments, and platforms. This technology is increasingly used for fraud, disinformation campaigns, and other malicious activities, making it difficult to distinguish between authentic and synthetic content. The increasing sophistication and accessibility of AI tools exacerbate these risks across various modalities.

Solution

Reality Defender offers a multi-model, multimodal deepfake detection platform designed to identify AI-generated content across audio, video, images, and text. The platform employs advanced algorithms to analyze content and provide probabilistic assessments of authenticity, without relying on watermarks or prior authentication. This enables organizations to detect and mitigate risks associated with manipulated media at scale, protecting against fraud, disinformation, and other AI-driven threats. The technology integrates into existing workflows, providing essential tools for content moderation, KYC processes, and securing communications.

Target Audience

The primary customers are enterprises, governments, and platforms across various industries, including media, finance, and government, seeking to protect against deepfakes and synthetic media.

Features

  • Multi-model analysis: Concurrently detects AI generation and manipulation across audio, video, images, and text.
  • Probabilistic results: Provides authenticity assessments without requiring watermarks or prior authentication.
  • Scalable detection: Designed for high-volume content analysis to identify AI-generated threats at scale.
  • Integration capabilities: Seamlessly integrates with existing workflows for content moderation, KYC, and security processes.
  • Support for multiple modalities: Detects synthetic images, voice clones, video manipulation, and AI-generated text.
This profile is AI-generated and may contain inaccuracies.