AI-driven solutions have transformed customer service, allowing AI agents to manage routine tasks with efficiency. However, creating interactions that feel genuinely human remains a challenge. By combining voice AI with emotional intelligence through Valence, AI agents can bridge this gap. With the ability to detect and respond to emotional cues, these enhanced AI agents bring a more connected and human experience to automated customer service.

Voice AI equipped with emotion detection is reshaping the sales landscape by helping teams understand customer emotions in real time. By analyzing vocal patterns, emotion AI enables sales representatives to adjust their communication style to match a prospect’s emotional state, fostering interactions that feel personal, relevant, and impactful.

Voice AI is reshaping the contact center landscape by automating routine tasks, providing real-time transcription, and streamlining interactions, all of which allow agents to focus on delivering high-quality, meaningful customer experiences.

Quick Service Restaurants (QSRs) have evolved their drive-thru operations from basic order-taking hubs to sophisticated channels for shaping customer experience. As customer expectations grow, drive-thrus are no longer just about speed; they’re about quality and personalization. The integration of voice AI with emotion recognition is a powerful innovation, enabling QSRs to deliver interactions that are fast, empathetic, and attuned to customers' emotional states, setting a new standard for customer satisfaction.

In sales, connecting with customers on an emotional level is crucial. It’s not just about closing deals; it’s about understanding the person behind the purchase. Emotional intelligence is the ability to recognize, understand, and manage emotions—both your own and those of others. In the context of sales, this means being attuned to the emotional states and needs of potential customers, which can significantly impact the success of any interaction.

In today’s fast-paced business environment, optimizing communication and sales processes is essential. To do this, businesses increasingly rely on advanced forms of intelligence that provide deeper insights into customer interactions and revenue generation.

In today's digital landscape, voice agents are becoming integral to customer service and user interactions across various platforms. To make these interactions more meaningful and empathetic, integrating emotion AI can significantly enhance the capability of voice agents. This guide will walk you through understanding and implementing emotion AI to create voice agents that can recognize and respond to human emotions.

In today’s rapidly evolving business landscape, contact centers and enterprise sales teams are turning to advanced technologies to enhance communication and emotional intelligence. By leveraging Valence AI, businesses can harness the power of voice AI to dramatically improve customer understanding.

It’s important to keep up with the quickly changing voice technology landscape. Here are the top ten terms to know.

In today's digital era, generative AI is revolutionizing customer engagement by enabling rapid resolution and highly personalized interactions. This advanced technology empowers businesses to swiftly decode complex data, crafting real-time, contextually relevant experiences across all customer touchpoints. By forging personalized, one-to-one connections, generative AI is driving significant investments and fostering innovation within the AI landscape, setting new benchmarks for exceptional customer experiences.

In the evolving landscape of artificial intelligence (AI), the ability to recognize and understand human emotions has emerged as a critical frontier. Emotion classification, the process of identifying and categorizing human emotions, plays a pivotal role in applications ranging from customer intelligence to accessibility to mental health support.

Emotions are difficult to understand, even for humans. Because of this, building AI systems to accurately identify emotions is also a hard problem to solve. Many things can factor into how someone reads another person’s emotions: tonality, facial expression, context, words said, nonverbal cues, etc.

Data is king. At Valence Vibrations, we follow the view of Andrew Ng’s data-centric AI in building robust systems based off a strong data engineering foundation.

Tonal analysis in machine learning has emerged as an essential tool for extracting valuable insights from vast amounts of audio and text data.

Affective computing is a multidisciplinary field that merges computer science, psychology, and neuroscience which has emerged as a groundbreaking area of research with the potential to revolutionize the way we interact with technology.

Coined by Dr. Milton, the double empathy problem challenges us to rethink the dynamics of communication and understanding across neurotypes. By exploring the double empathy problem, we can work towards fostering more inclusive and empathetic communication in our increasingly neurodiverse world.

Sensory substitution and augmentation have emerged as innovative approaches to enhance human perception and interaction with the world. By providing alternative means of accessing and processing information, these technologies can compensate for sensory impairments, enrich experiences, and offer new possibilities for communication and exploration. In this post, we will delve into the history and science behind sensory substitution and augmentation, with a special focus on haptic technology.

Neurodiversity, a term first coined in the late 1990s by sociologist Judy Singer, has become a transformative way to understand and appreciate the wide range of neurological differences among people. This concept acknowledges the inherent value in diverse neurological conditions such as autism, ADHD, dyslexia, and alexithymia, among others. By recognizing neurodiversity as an asset, we can foster a more inclusive society that celebrates the unique strengths and talents of neurodivergent individuals.

Alexithymia is a condition characterized by difficulty in identifying, describing, and understanding one's own emotions and those of others. This can significantly impact social interactions, emotional regulation, and overall quality of life. While alexithymia can affect anyone, it is more commonly found in autistic people and those with ADHD.