Ben Colman
Co-Founder/CEO
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.
- Artificial Intelligence
- Content & Publishing
- Cybersecurity
- Enterprise Software
- Software Only
Updated 23 months ago
Funding
Raised to date
$48.5MRaised 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.
+6Funding 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.