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DeepMedia

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About

DeepMedia is a foundational AI platform designed for digital safety and content integrity. It provides a suite of forensic tools aimed at identifying, analyzing, and tracing digital content—specifically focusing on the challenges posed by generative AI and synthetic media. The platform addresses the "math of moderation" problem, where the volume of content far exceeds human review capacity. By using machine learning to automate the detection of manipulated or AI-generated media, it allows organizations to maintain trust and security across massive datasets and real-time streams. The platform architecture consists of three core APIs: Prism, Vera, and Guardian. Prism acts as the System of Record, providing asynchronous forensic analysis, regulatory logging, and data sanitation for multi-format content ingestion. Vera is the Real-Time Shield, offering synchronous detection with sub-200ms latency, making it suitable for live streaming and interactive GenAI applications. Guardian serves as Active Defense, leveraging external threat intelligence and reinforcement learning from human feedback (RLHF) loops to proactively search for threats across the open web. A standout feature of DeepMedia is its Policy Intelligence system, which transforms complex media into a "genome" hash that is 10,000x smaller than the original file while retaining full signal fidelity. This allows for highly efficient data compression and queryable logging. The system is built to shift organizations from a Human-in-the-Loop model to a Human-at-the-Helm approach. This strategy automates approximately 80% of moderation volume, enabling human experts to focus their judgment on complex edge cases and high-level policy governance rather than repetitive manual reviews. DeepMedia is primarily designed for high-stakes environments, including government agencies, large-scale enterprises, and social media platforms that need to manage digital risks at a global scale. Unlike traditional moderation tools that rely on keyword filtering or basic metadata, DeepMedia uses deep forensic signals to detect sophisticated synthetic alterations in video, audio, text, and images. Its ability to provide explainable policy decisions in real-time makes it a robust solution for compliance with emerging digital safety regulations and internal corporate standards.

Pros & Cons

Achieves 10,000x data compression while maintaining 100% signal fidelity.

Provides ultra-low latency detection under 200ms for real-time applications.

Offers comprehensive coverage across the content lifecycle with three distinct APIs.

Automates up to 80% of moderation volume to reduce human burnout.

Supports multi-format analysis including video, audio, text, and images.

No self-service pricing available; requires a demo or consultation.

Focused primarily on enterprise and government-scale needs rather than individual creators.

Use Cases

Government security agencies can use forensic signals to identify and trace state-sponsored deepfakes and disinformation campaigns at scale.

Social media platforms can integrate the Vera API to detect synthetic media in live streams with sub-200ms latency.

Enterprise compliance officers can utilize the Prism system for regulatory logging and data sanitation across large internal media repositories.

Threat intelligence teams can deploy Guardian to proactively search for external brand threats across the open web using inverse search.

Platform
Web
Task
deepfake detection

Features

genome hashing technology

explainable policy decisions

sub-200ms inference latency

10,000x data compression

multi-format content ingestion

guardian active defense

vera real-time shield

prism asynchronous analysis

FAQs

What types of content can DeepMedia analyze?

DeepMedia is designed as a multi-format ingestion system capable of processing video, audio, text, and images. It uses a foundational AI platform to identify forensic signals across these various media types to detect synthetic or manipulated content.

How fast is the real-time detection for live streams?

The Vera API provides synchronous detection with less than 200ms of latency. This makes it suitable for high-speed environments like live video streaming and real-time generative AI interactions.

How does the platform handle large volumes of data?

The system uses a proprietary technology that transforms media into a genome hash, achieving a 10,000x data compression ratio. This allows for massive scaling while maintaining 100% signal fidelity for forensic analysis.

Can DeepMedia help with regulatory compliance?

Yes, the Prism component provides asynchronous forensic analysis and regulatory logging to help organizations meet legal standards. It moves platforms from reactive moderation to proactive policy alignment through data-driven insights.

Pricing Plans

Enterprise
Unknown Price

Prism forensic analysis

Vera real-time detection

Guardian threat intelligence

10,000x data compression

Sub-200ms latency

Multi-format ingestion

Explainable decisions

Regulatory logging

External threat intelligence

Data sanitation

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