Emotional AI and Analytics: how to choose the best vendor?

So you heard about user research and believe there is more to achieving product market fit than just A/B testing everything you can get your hands on?

Should you create your own lab? Use several APIs instead? Should you go open source or prefer to work with an agency?


No worries - we got you covered. 

As emotional AI space is getting heated - there are more and more high quality competitors entering the space, making us work harder and faster towards our vision of a multipurpose Paas for multimodal affective computing.

Things to keep in mind: Emotional AI and Affective computing are still in the early days and there is no one size fits all 

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As noted in the recent Gartner report - Emotional AI is still in its infancy. There is a lot to be done, both in terms of accuracy, privacy, ethical concerns - but also in terms of making the technology commercially available. 

What works perfectly in a lab, might not be the best and most viable solution for testing an ecommerce app in the wild. 

A database of best and most popular vendors + where does Tacit fit in?

The best way to analyse Emotional AI vendors is by:

  1. Types and number of data modes they use in their analysis (unimodal vs multimodal, physical vs physiological etc) 

  2. Specialized use cases: e.g. automotive, healthcare, user research, call center etc.


That is why we created a detailed Airtable with all relevant vendors listed and analysed based on the above mentioned criteria hence you may select the most optimal option: 

andrea Sagud