What is a pre-built AI model?

Pre-built AI models are models we have already created to solve common business problems. For example, we have models to predict equipment failure, recommend products, moderate content, and more. You can license our existing models instead of building from scratch.

Agentic AI refers to advanced systems that can sense changes in their environment, analyze options, and take actions to achieve set goals with minimal human input. The AI makes day-to-day decisions to optimize processes.

Can you deliver pre-built AI models for my specific business use cases?

Yes! While we offer many ready-made models, we also build fully custom AI tailored to unique industry or company needs. Our data scientists craft solutions for your specific use cases, data, and technical environments using proven techniques.

How much does it cost to launch an AI model like DeepSeek?

The staggering price tags linked to renowned models often deter newcomers. However, DeepSeek proved that innovation can override sheer scale.

AI Emotion Recognition Solutions

Launch AI-enabled emotion recognition platforms without worrying about development and training with Cubix’s pre-built AI solutions for detecting facial expressions, tone, and sentiment.

AI-Powered Emotion Recognition

Enhance engagement and decision-making with AI-powered emotion recognition. Our advanced system accurately detects emotions in real time for diverse applications.

Our Emotion Recognition Services

Emotion recognition helps understand customer sentiments, enhance user experiences, and improve decision-making.

Detects Emotions

Using facial analysis through images and live video to detect emotions such as happiness, anger, sadness, and surprise.

Analyse Emotion

Detects emotional changes from voice or intonation in speech with AI to determine customer mood when interacting.

Sentiment Analysis

Helps derive the emotions and feelings of customers to track how customers feel about their services.

Multimodal Recognition

A multi-source approach that integrates vision, audio, and text data to understand and develop the emotional profile.

Emotions Monitoring

Emotion tracking across all touchpoints is developed, responding to immediate decision-making.

Emotion Personalization

Adapts according to emotion data and alters content accordingly, improving engagement and personalizing interactions.

Start your AI journey and unlock new possibilities! Get Price

Advanced AI Emotion Solutions

AI recognition develops processes according to business needs, allowing businesses to harness the power of emotional AI.

Machine Learning

Emotion AI is trained on historical data and fed with a variety of emotional databases for robust performance.

Deep Learning

Neural networks analyze data to better understand human emotion for higher accuracy in identifying subtle expressions.

Reinforcement Learning

Emotion models use feedback-driven reinforced learning for optimal recognition across different environments and demographics.

Natural Language Processing

NLP follows the emotional tone and sentiment of conversations, resulting in a more natural, human-like exchange.

Computer Vision

Computer vision accurately detects facial landmarks and micro-expressions, which are categorized into specific emotional states.

AI Emotion Recognition Applications

Developing custom models for emotion recognition based on a specific domain, environment, and the users to target.

Customer Insights

Capturing customer emotions during service interactions can allow for response tailoring, improved satisfaction, and greater retention.

Healthcare & Mental Wellness

Monitoring patient moods and signs of stress, anxiety, or depression can take place in traditional one-on-one settings.

Engagement Tracking

Gauging engagement through facial expressions and responses, hence giving real-time feedback and adapting the learning experience.

Media Feedback

Assess emotional indicators for visual and auditory content and gaming, aiding studios and marketers in content optimization.

Emotion AI Across Industries

Emotion AI services have changed how organizations view people by turning emotion into actionable data.

Image for Healthcare — Customer Service

Adapts tone and replies to the caller depending on their sentiment.

Image for Education — Marketing & Advertising

Measure emotional response to optimize messaging and creative direction.

Image for Fitness — Education

Analyzes student emotions to improve instructions, thus improving virtual learning.

Image for Transportation — Gaming

Respond to feedback in real time to create adaptive gaming environments.

Frequently Asked Questions

What is emotion recognition used to do?

Emotion recognition enables identifying and processing human emotions in a way that will promote user experience, personalize services, create a better sense of safety, and maintain mental well-being across different industries.

What is wrong with emotion recognition?

The drawbacks are the issue of privacy, cultural prejudices, emotion misinterpretation, and lack of performance in dim lighting or a loud setting. It is important to ensure safe data persistence and ethical usage.

Which are the methods of emotion identification?

Their most typical methods are facial expressions, voice tone, natural language processing (NLP), physiological signals (e.g., heart rate), and multi-modal learning, which is learning using various data.

What is the usual technology that is applied to recognize the emotions?

Computer vision, machine and deep learning, NLP, and audio signal processing-based technologies are broadly applicable in identifying and extracting emotional states rendered by images, speech and text.

What tech stack do you use to build custom AI models?

We utilize programming languages like Python and tools like TensorFlow, PyTorch, Keras, Pandas, NumPy, SciPy, and sci-kit-learn to develop robust AI models.

AI Emotion Recognition Solutions

AI-Powered Emotion Recognition