Industry-leading
performance
Validated industry-leading accuracy of 91% for images.
Multi-modal
approach
Confidence in authenticity of images, audio, and text.
Seamless integration
Integration with existing workflows via API or portal.
Enterprise security
Compliance with SOC 2 Type 2 and HIPAA.
Framework
At the core of our platform lies a sophisticated blend of open-source technologies and proprietary models, designed to provide the most accurate and reliable detection capabilities. By leveraging the best of both worlds, we deliver unmatched flexibility and innovation.
Key features
[-]- Open-Source advantages:
Harnessing the transparency, scalability, and collaboration of open-source frameworks.
- Proprietary models:
Tailored, cutting-edge solutions developed in-house to address unique and complex challenges in fraud detection.
GenAI models
Our platform employs a multi-modal ML approach, integrating data from various formats and sources to provide comprehensive analysis and detection.
How it works
[-]-
Combines insights from images, audio, video, and text to uncover inconsistencies and fraudulent activity.
- Unified analysis:
Detects and connects patterns across multiple media types for a deeper understanding of authenticity.
Metadata analysis
Our detection process starts at the most fundamental level—individual pixels. By dissecting media at its core, we ensure unparalleled accuracy in identifying manipulation.
Technologies we use:
[-]- Pixel manipulation analysis:
Pinpoints inconsistencies in images and videos, such as edits, cloning, or tampering.
- File metadata examination:
Extracts and evaluates file details like timestamps, compression, and other embedded data to assess authenticity.
- C2PA standards:
Ensures compliance with Coalition for Content Provenance and Authenticity (C2PA) guidelines to verify content provenance.
