Image

Recognition

Social media is powered by content, especially images, and our technologies build an ecosystem around clients that allows our software to understand their environment by recognizing objects, logos and other features found in images. The same approach applies to video recognition by parsing frames.

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Natural

Language

Processing

By training machine learning models to understand the linguistics around clients – their company name, products, customers, etc. – we use natural language processing to form context and meaning, and ultimately eliminate false positives that skew insights.

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Sentiment

Analysis

Extracting emotions from social media content is no easy task, however natural language processing allows us to build a better understanding of what’s being said and whether it’s positive, negative or neutral.

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Deep

Learning

As a way to recreate how we believe the human brain functions, we use deep learning to build ecosystems around clients that recognize all aspects of their environment – sights, sounds, and more.

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