5 Top Emerging Affective Computing Startups

We analyzed 127 affective computing solutions enabling industry 4.0 applications.​ Emotiva, Tawny, Dream Face, Emaww & Behavioural Signals develop 5 top solutions to watch out for. Learn more in our Global Startup Heat Map!

Our Innovation Analysts recently looked into emerging technologies and up-and-coming startups working on solutions for industry 4.0. As there is a large number of startups working on a wide variety of solutions, we decided to share our insights with you. This time, we are taking a look at 5 promising affective computing startups.

Heat Map: 5 Top Affective Computing Startups

Using our StartUs Insights Platform, covering 1.116.000+ startups & emerging companies, we looked at innovation in the field of advanced computing in industry 4.0. For this research, we identified 127 relevant solutions and picked 5 to showcase below. These companies were chosen based on a data-driven startup scouting approach, taking into account factors such as location, founding year, and technology among others. Depending on your specific criteria, the top picks might look entirely different.

The Global Startup Heat Map below highlights 5 startups & emerging companies developing affective computing solutions. Moreover, the Heat Map reveals regions that observe a high startup activity and illustrates the geographic distribution of all 127 companies we analyzed for this specific topic.


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Which startups develop the other 122 solutions?


EMOTIVA – Market Research

Most companies want to know which factors affect their customers while purchasing or shopping. Affective computing assists companies in generating data about their solutions, which leads to effective product development and rolling out targetted marketing strategies. Startups work on affective computing solutions where they investigate responses of consumers towards certain packaging, color, and design, among other parameters.

Italian startup EMOTIVA offers a proprietary technology product, Emotional Conversion Optimization (ECO). This product is based on the integration of affective computing and artificial intelligence (AI) algorithms. With ECO, companies are able to better target their customer base. Moreover, client responses are recorded in the context of various parameters including the amount of time spent on looking at ads, videos, and pictures.

TAWNY – Automotive

Sudden changes in the behavior and mood of drivers operating vehicles often lead to accidents that put passengers as well as vehicles at risk. Startups develop solutions that detect potential threats in driver behaviors by analyzing facial expressions and responses towards other vehicles or objects on the road.

German startup TAWNY provides a Software-as-a-Service (SaaS) platform, built upon affective computing and artificial intelligence. The platform detects anomalies in the behavior of the driver and vehicle passengers, as well as alerts the authorities and the vehicle owner about any potential threats. Moreover, the authorities get involved to take preventive measures rather than to react to accidents.

Dream Face Technologies – Health Diagnosis

The use of AI in healthcare faces a challenge when it comes to detecting signs of critical illnesses by analyzing the emotions and facial expressions of a patient. Nowadays, startups build AI assistants that are based on affective computing technologies. These virtual assistants cater to patients with speech difficulties and the elderly, who experience difficulties in expressing their problems verbally.

The US-based company Dream Face Technologies develops an affective computing-enhanced and AI-mediated robot, Ryan. The robot focuses on assisting elderly people suffering from dementia by acting as a companion to the patients to slow down the process of dementia and is capable of recognizing emotions and facial expressions. As a result, this allows Ryan to send alerts to the family and doctors in case of an emergency.

Emaww – Affective Computing-Based eCommerce Analytics

Websites help companies in terms of data collection for analyzing the user rationale involved in eCommerce. Analytics and affective computing algorithms provide scope for improving customer churn and sales. As a result, startups develop emotion analytics to understand the tones and emotions of users to improve eCommerce customer service.

Canadian startup Emaww develops AI-based algorithms for understanding the emotions of website users. With the help of emotion AI, the solution predicts users’ emotions such as interest, dislike, scurry, and awe. The startup offers easy integration of customizable codes into websites. Emaww is also able to achieve higher rates of accuracy and helps organizations understand their customers better.

Behavioral Signals – Intent Analytics

Nowadays, even machines are capable of understanding user behaviors and adapting to different emotional responses. Affective computing helps machines and systems mimic human emotions based on user inputs to aid in improving the overall customer experience. As a result, emerging companies develop AI algorithms to help machines understand and predict human behavior.

The US-based startup Behavioral Signals provides intent analytics solutions for customer support services. With the help of voice recognition, emotion AI algorithms, and meta datasets, the startup analyzes the tone of a person. This helps organizations to predict and understand tele-caller complaints and improves reputation management.

What About The Other 122 Solutions?

While we believe data is key to creating insights it can be easy to be overwhelmed by it. Our ambition is to create a comprehensive overview and provide actionable innovation intelligence so you can achieve your goals faster. The 5 affective computing solutions showcased above are promising examples out of 127 we analyzed for this article. To identify the most relevant solutions based on your specific criteria, get in touch.

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