Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Capifiq helps employers conduct secure online interviews in a purpose-built interview environment. The interview runs on Capifiq, where live video, collaborative tools, Capifiq ID verification, captions, and reviewable session evidence support the hiring team. Instead of depending only on a catalog of familiar tool names, Capifiq uses physics-based analysis of covered system and environment activity. This helps surface integrity-relevant activity connected with hidden AI assistance, remote access, virtualized environments, display changes, and other supported scenarios. Media-authenticity signals are presented separately for human review rather than treated as automatic accusations. Capifiq is built for human-led interviewing across roles: the hiring team evaluates the candidate and makes the decision, with no automated candidate scoring, ranking, or employment recommendation.

Description

An accessible platform that incorporates cutting-edge methods for detecting deepfakes is available for use. Users can upload a single video file from their computer at a time. Deepfakes, which are AI-generated fabricated media, can create misleading representations of individuals and their actions, posing significant risks when misused. The DeepFake-o-meter, created by the UB Media Forensics Lab, is an open-source tool designed to identify deepfake technologies created by third parties. It offers a user-friendly service that allows for the analysis of deepfake content using various advanced detection techniques, ensuring that results are delivered securely and privately. Additionally, it features an API framework that enables developers to integrate their deepfake detection algorithms and execute them on a remote server. Furthermore, it serves as a valuable resource for researchers in digital media forensics, providing a platform for assessing and benchmarking the effectiveness of different detection algorithms against one another. This multifaceted approach ultimately enhances the fight against the misuse of deepfake technology.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Google Calendar Yes 

Integrations

Google Calendar No 

Pricing Details

Contact Capifiq for current interview-credit pricing. Qualified hiring teams may receive a scoped pilot after a technical demo.
Free Trial Yes 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

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

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 No 

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Capifiq

Country

United States

Website

capifiq.ai

Vendor Details

Company Name

UB Media Forensics Lab

Founded

2020

Country

United States

Website

zinc.cse.buffalo.edu/ubmdfl/deep-o-meter/

Product Features

Video Interviewing

Archiving No 
Candidate Portal No 
Feedback Management No 
Invitations No 
One-on-One Interviews No 
Panel Interviews No 
Practice Sessions No 
Question Bank No 
Recording No 
Scoring No 
Virtual / Pre-Recorded Interviews No 

Product Features

Alternatives

Alternatives