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What is SWEAR?

SWEAR operates as a platform dedicated to securing and authenticating audio and video content in real-time from the moment of capture. It creates a distinct "Digital DNA" for each frame, pixel, and audio segment during the recording, with the associated metadata safely recorded on a separate, unchangeable blockchain ledger, allowing any modifications to be easily detected later on. Users can verify the footage's authenticity by contrasting its current state with the original verified version, thus providing immediate evidence of its legitimacy when necessary. This platform is meticulously designed to safeguard sensitive uses, including legal documentation, surveillance operations, public safety initiatives, and corporate protection, which helps maintain a trustworthy chain of custody while retaining media integrity, whether being transmitted or stored. Furthermore, SWEAR’s security system integrates effortlessly with a variety of recording devices and cameras, and it includes a mobile application for greater convenience. The technology also delivers extensive metadata tracking, which covers aspects such as frame rate, resolution, and even detailed pixel information, assuring strong, immutable provenance and security protocols throughout the media's lifecycle. By adopting this comprehensive strategy, the platform not only bolsters confidence in the authenticity of media but also equips users with the tools necessary to leverage this technology in numerous critical situations. As a result, SWEAR stands out in the realm of media security and authenticity, paving the way for enhanced accountability in digital content management.

What is Chainparency?

The adoption of blockchain technology, particularly through asset tokenization, holds the promise of generating immense value while delivering unmatched transparency across diverse fields such as international trade, finance, and logistics. By creating blockchain-based tokens, we can develop digital equivalents for both physical and non-physical assets that exist in the real world. Moreover, the connection of these tokens to digital wallets ensures that any transaction or change in ownership is easily verifiable, permanently documented, and auditable in real-time via a cryptographically secure and decentralized public ledger. Every transaction is carefully recorded on an immutable blockchain ledger, which guarantees that both processing and documentation take place instantaneously. This innovation positions blockchain as the ultimate source of truth for all parties involved. Transactions validated by blockchain technology not only possess cryptographic security but are also irreversible, resulting in data that is both precise and trustworthy. Additionally, blockchain-enabled wallets bolster security through multi-factor authentication and offer secure digital methods for performing transactions. Ultimately, embracing blockchain could radically change our understanding and management of ownership and value in an increasingly digital economy. As more sectors realize the benefits of this technology, its widespread adoption could lead to a paradigm shift in how assets are valued and exchanged globally.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
iPhone

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

SWEAR

Company Location

United States

Company Website

swear.com

Company Facts

Organization Name

Chainparency

Company Location

United States

Company Website

chainparency.com/asset-tokenization

Categories and Features

Deepfake Detection

Not specified

Categories and Features

Asset Tokenization

Not specified

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