Audience

Researchers (academic and applied), UX and usability professionals, Neuromarketing specialists, Human-computer interaction (HCI) teams, Behavioral scientists, Product development teams, Market research agencies

About Cinematronic Biosignal Platform

Cinematronic’s Biosignal Platform is an all-in-one software solution for biometric and behavioral research. It enables webcam-based eye tracking and integrates physiological signals such as GSR and PPG. Designed for researchers, UX professionals, and neuromarketing teams, it offers synchronized multi-sensor recording, real-time signal visualization, built-in survey tools, and AI-assisted interpretation. The platform simplifies the study of attention, arousal, and user response across a variety of use cases—from usability testing and marketing evaluation to academic research. Tests can be set up and run with minimal effort through an intuitive interface, allowing users to collect and analyze complex biosignal data without coding. A free 30-day trial is available.

Pricing

Starting Price:
$170/month
Free Trial:
Free Trial available.

Integrations

No integrations listed.

Ratings/Reviews

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Company Information

Cinematronic ApS
Founded: 2021
Denmark
www.cinematronic.dk

Videos and Screen Captures

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Product Details

Platforms Supported
Windows
Training
Documentation
Live Online
Webinars
In Person
Videos
Support
Phone Support
Online

Cinematronic Biosignal Platform Frequently Asked Questions

Q: What kinds of users and organization types does Cinematronic Biosignal Platform work with?
Q: What languages does Cinematronic Biosignal Platform support in their product?
Q: What kind of support options does Cinematronic Biosignal Platform offer?
Q: What type of training does Cinematronic Biosignal Platform provide?
Q: Does Cinematronic Biosignal Platform offer a free trial?
Q: How much does Cinematronic Biosignal Platform cost?

Cinematronic Biosignal Platform Product Features

Emotion Recognition

Facial Emotions
Written Text Emotions
Speech Emotions
Video Emotions
Photo Emotions
Facial Expression Analysis
Machine Learning