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Advanced AI Software powered by
computer vision and deep learning
for real-time face analysis

  • Analyze faces in images, videos, and real-life environments
  • Plug and play solutions
  • Most Affordable

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Who are we?

Sightcorp is an AI spin-off from the University of Amsterdam. We develop patented proprietary AI Software solutions. Through computer vision and deep learning, we can analyze faces in images, videos, and in real-life environments.

Trusted by Leading Companies

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What can you do with our AI Software

Our advanced AI Software solutions empower industries like retail and digital signage with real-time actionable insights that help maximize ROI. Through computer vision and deep learning, our technology can analyze faces in images, videos, and in real-life environments.

Demographic Analysis

Measure your customers’ age, gender and ethnicity (the ethnicity feature is not available in the EU.) in real-world scenarios. Adjust ads and campaigns based on their profile.

Emotion Recognition

Understand how your customers feel. Detect and measure facial expressions like happiness, surprise, sadness, disgust, anger, and fear.

Attention Analysis

Understand what motivates your customers and what grabs their attention, by analyzing head movements, eye location and attention time.

Clothing Colors

Spot the three most dominant clothing colors. Target content and make product recommendations based on your customers’ liking.

Mood Detection

Leverage customers’ mood behavior data to optimize experiences and campaigns. The mood detection can distinguish between neutral and happy mood.

Cross-platform

Build smart human and emotion-aware products and apps, using any of your favorite desktop and mobile environments.

Testimonial

We are using and heavily promoting Sightcorp’s Toolkit because of its stability, accuracy and very easy installation and hardware configuration. The real-time aggregated data is immediately accessible through Crowdstats, which enables us to scale with ease.

─ S. Ahmedov, CEO OmniChannel

In the Media

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