Emotion recognition start-up Entropik raises funds from angel investors

With the funding, Entropik wants to ramp up its research and development efforts and get more customers on board


Entropik says its technology, for which it has filed patents in India and the US, will help app makers understand their users’ emotional states and make the user experience better, resulting in increase in app usage and retention.
Entropik says its technology, for which it has filed patents in India and the US, will help app makers understand their users’ emotional states and make the user experience better, resulting in increase in app usage and retention.

Bengaluru-based Entropik Technology Pvt. Ltd has raised $200,000 in seed funding from angel investors Dileep Bhatt, president of downstream operations, JSW Steel Ltd, and Milind Chaudhary, director, Sea Global Services Pvt. Ltd.

Entropik makes software that helps app developers track the emotions and context of their users on the basis of data from their smartphone or wearable’s accelerometer and pressure sensors.

With the funding, the barely one-year-old firm wants to ramp up its research and development efforts and get more customers on board.

Entropik says its technology, for which it has filed patents in India and the US, will help app makers understand their users’ emotional states and make the user experience better, resulting in increase in app usage and retention.

Companies can integrate Entropik’s software development kit in their apps, after which the firm provides analytics, recommendations, and user profiles, based on how and when end users interact with apps. The company currently makes this for Android and iOS operating systems.

Entropik worked on Chromo, the product which enables this, for eight months. It calculates emotions based on metrics such as swipe speed, the delay between swipes, and swipe pressure. It will also provide data like a user’s posture (if they are lying down and holding their phone up, or browsing while walking), and where the user is. Based on internal tests, the accuracy of their predictions is 80%, the firm claimed.

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