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Average Ratings 0 Ratings

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ease
features
design
support

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Description

DuckDuckGoose is an advanced deepfake detection platform designed to help organizations identify and prevent AI-generated or manipulated media from entering critical systems. The platform analyzes images, videos, audio recordings, and identity documents to detect signs of synthetic or altered content. It is built specifically for identity verification, compliance, fraud prevention, and digital risk management teams. DuckDuckGoose integrates easily into existing workflows through flexible APIs and SDKs that deliver near-instant detection results. The system provides explainable outputs, including visual traces and detailed logs that support compliance audits and forensic investigations. Its AI models are trained on diverse datasets to detect sophisticated deepfakes while maintaining extremely low false-positive rates. The platform supports multiple deployment environments, including cloud, on-premise, and hybrid infrastructures. DuckDuckGoose offers specialized tools such as Phocus for multimedia detection, Waver for audio deepfake analysis, and DeepDetector for image and video verification. These tools help organizations secure onboarding flows, prevent identity fraud, and detect manipulated media at scale. By combining high accuracy, fast detection speeds, and transparent reporting, DuckDuckGoose helps enterprises make reliable decisions in environments where digital authenticity is critical.

Description

Rubber Duck serves as a pre-submission app-review scanner that assists developers in preventing rejections from the Apple App Store by identifying typical problems prior to submission. By uploading their compiled applications, developers allow Rubber Duck to perform automated scans, followed by manual quality assurance, to test compatibility on actual devices, including older iPhone versions. The tool thoroughly checks in-app purchase flows, looks for any missing metadata or placeholder content, identifies crashes that occur either on launch or during normal operation, and confirms adherence to privacy policies and data collection regulations. After approximately four hours, users receive a comprehensive “Duck Report” that details all identified issues, complete with severity ratings and precise reproduction steps, which empowers them to rectify any problems before they send their app to Apple. Scanning is conducted within a secure, isolated environment; uploads are encrypted throughout their transfer and when stored; only the compiled binary undergoes analysis—never the source code; and builds are automatically removed after 30 days, or sooner if requested. This thorough approach ensures that developers can submit their apps with confidence, knowing they've addressed potential pitfalls in advance.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

App Store No 

Integrations

App Store Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$29 per month
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

DuckDuckGoose AI

Founded

2019

Country

Netherlands

Website

www.duckduckgoose.ai

Vendor Details

Company Name

Rubber Duck

Country

United States

Website

tryrubberduck.com

Product Features

Mobile App Testing

Functional Testing No 
Installation Testing No 
Interruption Testing No 
Memory Testing No 
Performance Testing No 
Usability Testing No 

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