Top Emotion AI Companies to Watch out for in 2023

With technology advancing at a rapid pace, companies are now able to understand and predict human behavior like never before. By analyzing facial expressions and micro-expressions, AI startups are able to study patterns and determine underlying behavior traits.

But what does this mean for businesses and individuals? From hiring talent to advertising and marketing, the possibilities are endless. However, it’s important to remember that with this power comes great responsibility.

As we look toward 2023, let’s take a closer look at the top companies leading the way in Emotion AI and the impact they’re having on the world.

Thelightbulb.ai

Thelightbulb.ai a video-first full-stack emotion aware SaaS company. They specialize in delivering actionable insights that drive strategic decision-making and foster meaningful connections between brands and consumers.

Their core expertise lies in utilizing Visual Ai (facial coding, & eye-tracking) and Conversational Ai (speech transcription, text sentiment & audio tonality analysis) to measure emotion engagement of the consumers.

Their technology focuses on the intricate analysis of human emotions through diverse modalities, such as facial expressions, vocal intonations, sentiment analysis and eye tracking. The company’s technologies leverage sophisticated algorithms and machine learning models to discern and interpret different emotional state exhibited by individuals.

These capabilities find applications across various industries, ranging from market research, advertising, finance and insurance, mental wellbeing aiming to create more intuitive and emotionally responsive interfaces.

The key feature of this platform is that it is browser-based, which means it can be integrated with any system through in-built APIs and SDKs without the need for any additional VC tools.

2 key tools offered by thelightbulb.ai are:

a) Insights Pro Quant:- Analyses different types of UI/UX testing, Content testing — ad testing, Promos, Episode. Conduct surveys, polls, and experiments with advanced targeting and data analysis.

b) Insights Pro Qual:- This involves focused group discussions and direct interviews which is analysed by their strong CI Team with ex members of Kantar and Hansa.

The company commands a strong clientele of Merrill Research, Nielsen, Kantar, Godrej, VIVO, NielsenIQ and more.

Realeyes

Realeyes is an Emotion AI company that was founded at Oxford University in 2007. They specialize in measuring human attention and emotions in response to advertising, with the goal of driving optimal creative performance and media efficiency.

Their emotion recognition technology is used by businesses to improve their marketing messages and advertising targets. The company offers a platform for businesses to access this technology and use it to gain insights into consumer behavior and emotional responses to various stimuli.

By using the Realeyes platform, businesses can test the emotion of sample audiences and get insight into their specific campaigns, advertisements, or products.

Features:

1. The responses of the sample audience to some specific content are pooled and displayed using an attention curve.
2. Metrics show the rise and fall of the attention of audiences that help marketers understand what’s influencing the effectiveness of their creative.
3. Provides emotional heatmaps.

Pricing:

1. Basic ($249/ month): For a short test and 20 own participants are allowed in one month
2. Core ($600/ month): For regular tests and 300 own participants are allowed in one month
3. Pro (based on volume): For higher volume tests and more than 300 own participants are allowed in one month

Affectiva

Founded in 2009, Affectiva is an emotion AI company that uses technology to detect facial expressions, reactions, and emotions to help brands improve their marketing messages and advertising targets.

The company uses optical sensors such as webcams or smartphone cameras to identify human faces in real time and then applies computer vision algorithms to identify key features on the face.

These features are analyzed by deep learning algorithms to classify facial expressions, which are then mapped back to emotions.

Features:

1. Affectiva uses computer vision and deep learning algorithms to analyze facial expressions and classify them into emotional categories.
2. Detects emotions in real time, allowing businesses to gain insights into customer sentiment.
3. Analyze physiological signals to provide a more comprehensive understanding of emotions.

Pricing:

Revealed when buying a subscription.

Entropik Technologies

Entropik Technologies is a Bengaluru-based startup that specializes in Emotion AI. The company assists brands in measuring the cognitive and emotional response of consumers towards the content or product experiences by using AI technologies that understand human emotion through facial expressions, eye movement, voice tonality, and brainwaves in a fast and scalable manner.

Entropik Tech gives quick access to metrics that quantify human emotions and transform them into useful data for making future decisions. Additionally, the platform is designed to optimize these experiences to resonate emotionally with the consumer.

Features:

1. Eye-tracking and facial coding technologies to monitor customers’ subconscious behavior.
2. Pre-built templates to create campaigns.
3. Database of more than 60 million online respondents that are freely available on the platform.

Pricing:

Revealed when buying a subscription.

Emotibot

Founded in 2015, Emotibot is an emotion AI startup that specializes in creating voice triple human-computer interaction technology. Emotibot seeks to create an artificial intelligence (AI) companion that can read, see, listen, remember, self-learn, and interpret the user’s emotions.

Emotibot’s AI bots provide consumers with over 30 services and features, including vacation planning, hotel reservations, and more. The platform facilitates instant access to mobile devices, websites, apps, and technological devices with the goal of intimately connecting users with the rest of the world.

Features:

1. Emotibot offers speech recognition and real-time audio stream-to-text conversion, supporting multiple languages
2. Offers speech full-duplex, an intelligent interrupt feature that can recognize the user’s interrupt behavior during the voice interaction.
3. Supports four emotions from the standpoint of voiceprint characteristics and semantic understanding.

Pricing:

Revealed when buying a subscription.

Receptiviti

Receptiviti is an emotional AI company that specializes in using natural language processing, social psychology, and artificial intelligence to uncover insights about people.

Their technology platform can be used to analyze various forms of communication such as social media, news, job applications, essays, surveys, and voice and text-based communications to gain an understanding of the emotions, personality, psychological state, motivations, and drives of the people behind the language.

Receptiviti’s focus is on being socially responsible and their customers include some of the world’s largest financial institutions, and global technology, marketing, and consulting organizations.

Features:

1. Advanced Natural Language Processing (NLP) techniques to extract insights from text-based communications
2. Receptiviti incorporates principles of social psychology to understand how people think, feel and behave
3. Develop predictive models that can inform decisions and optimize interpersonal interactions.

Pricing:

1. Web API Startup ($500/ month): 250k words per month
2. Web API Enterprise (contact for pricing): 10,000k words per month
3. Container API (contact for pricing): Unlimited words per month

Conclusion

In conclusion, the prospects for emotion AI as a technology are very promising. Be it conversational AI or Visual AI, the technology has a strong potential to boost the sales as well as consumer research.

Top emotion AI companies listed above in the article are leading the technology at the forefront, the field of emotion AI is rapidly growing, and businesses and industries are beginning to adopt this technology to improve customer service, marketing, healthcare, education, and many other areas in 2023.