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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 Microblink?

Microblink is a pioneering AI-powered identity verification and fraud prevention platform redefining how businesses establish trust in the digital era. Its Adaptive Identity Platform unites ID verification, biometrics, AML compliance, liveness and deepfake detection, and payment card capture into a cohesive ecosystem that evolves with every interaction. Built on proprietary AI infrastructure, not third-party models, Microblink continuously learns from over 65 million monthly verifications across 160+ countries, ensuring exceptional precision and adaptability. The platform’s dynamic machine learning engine anticipates and mitigates emerging fraud patterns, maintaining resilience against synthetic and deepfake-based identity attacks. Its ultra-fast verification process (<3 seconds) and 40% higher capture success rates enable smooth onboarding and secure authentication across industries. Microblink’s flexible integration architecture supports APIs, SDKs, and hosted UIs, providing scalability for financial services, telecom, healthcare, and digital marketplaces. Customers can deploy on-device for maximum privacy or leverage cloud endpoints for global coverage. The platform’s adaptive UX ensures accessibility and minimal friction, boosting conversion rates and user satisfaction. Recognized for innovation and data ethics, Microblink empowers enterprises to meet the dual demands of AI agility and regulatory compliance.

Media

Media

Integrations Supported

Integrations Supported

Neofin

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

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

Microblink

Date Founded

2013

Company Location

United States

Company Website

microblink.com

Categories and Features

Deepfake Detection

Not specified

Categories and Features

Age Verification

Not specified

AML

Not specified

Deepfake Detection

Not specified

Document Scanner

Not specified

Identity Verification

Not specified

KYA (Know Your Agent)

Not specified

KYC

Not specified

Liveness Detection

Not specified

OCR

Not specified

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