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Research & Investors


We put extensive research and development into our AI from the start and strive to provide our customers with cutting edge technology that will put them ahead of their competitors.


MoodMe owns proprietary data bases and uses public data sets to apply semi – supervised data quality improvement. These data sets are annotated with those face characteristics of interest: landmarks, emotions (7 base emotions plus subtle emotions and micro expressions as of 2020), gender, age, ethnicity as well as recognition/identification and detection of face attributes (beard, mustache, hat, eyewear).

We optimize Neural Networks and applies the most recent compression techniques such as pruning. MoodMe combines the best proprietary neural networks with open frameworks like TensorFlow.

Invest Horizon 2021 Pitch

Patents & Research

Academic partnerships with Université de Mons & Texas A&M University College Station, TX, enable MoodMe to stay ahead of the curve with the most advanced research topics in AI. Read the Press Release of Texas A&M Engineering.

MoodMe started protecting its Intellectual Property before it shipped its first product: MoodMe priority dates on our patents is February 2012.

As of 2021, US PTO has issued 2 Patents – US 10,347,028 (2019) & 9,870,636 (2018) – covering AI, AR, emotion detection, eCommerce & Advertising scenarios. 4 additional patents are pending covering AR filters adaptive to the emotions.