Companies of all shapes and sizes are unlocking the power of AI to improve operations, boost productivity, create efficiencies, reduce costs, and optimize revenue. With Quantilus by your side, you’ll be able to take full advantage of these benefits – gaining a competitive edge.
Quantilus leverages big data and AI to create tailor-made models that solve real-world business challenges. Our custom engineering services with over 200 big data and AI experts can take proprietary and open-source models to fit any business scenario without sacrificing scalability or performance.
Conversational AI is designed to participate in conversations with humans. These models are trained on large datasets of human-human conversations and generate human-like text or speech in response to the input it receives.
Sentiment analysis uses algorithms to process large amounts of text or spoken language–based data with the purpose of identifying the attitudes or emotions behind them. The goal of sentiment analysis is to assign a positive or negative sentiment.
Entity extraction is a process used to automatically extract specific data and information from text with great accuracy and speed. The extracted information is then organized and labeled to be easily searched and analyzed.
Document process automation is technology that automates the capture, extraction and processing of documents within an organization. It helps businesses streamline their document processes, saving time and money by reducing or eliminating manual data entry, enabling faster decision-making, improving accuracy of data and providing better control over document flow.
Text categorization involves classifying text into predefined categories based on its content while text summarization reduces a long piece of text to its most important information in a concise form.
Object recognition and tracking technology involves the use of algorithms and computer vision to identify and track objects in real-time, by analyzing images or videos. Once an object has been identified, the algorithm tracks it as it moves through the frame of the camera or image.
Smart machines and virtual applications complement each other and work together to deliver better results. Smart machines refer to devices that are capable of collecting, processing, and analyzing vast amounts of data to perform various functions and tasks. Virtual applications often times are the software programs that provide smart machines with access to powerful computing resources and data, allowing them to perform more complex tasks and make more accurate decisions, thus enabling the machine to learn and improve performance.
Facial recognition technology is a specific type of object recognition technology that focuses on identifying and verifying individuals based on their facial features. The technology is capable of analyzing 2D and 3D data points to match a facial feature or movement to a person.
Whether you’re a company seeking ESG measures or one building tools to help others support their sustainable development goals, AI will play a role in your roadmap. By analyzing large amounts of data, AI can identify patterns and trends that can inform decision-making, optimize resources, reduce waste, and create more sustainable practices.
Conversational AI is designed to participate in conversations with humans. These models are trained on large datasets of human-human conversations and generate human-like text or speech in response to the input it receives.
Use Cases:
• Education & Training
• Customer service
• Virtual Assistants
• Language Translation
• Lead Generation & Sales
• Health & Wellness
Sentiment analysis uses algorithms to process large amounts of text or spoken language-based data with the purpose of identifying the attitudes or emotions behind them. The goal of sentiment analysis is to assign a positive or negative sentiment.
Use Cases:
• Customer Satisfaction
• Social Monitoring
• Market Research
• Financial Analysis
• Political Strategies
• Self-Improvement
Entity extraction is a process used to extract specific data and information from text automatically with great accuracy and speed. The extracted information is then organized and labeled to be easily searched and analyzed.
Use Cases:
• Fraud Detection
• Investment Opportunities
• Product Analysis
• Contract Analysis
• Content Personalization
• Medical Record Monitoring
Document process automation is technology that automates the capture, extraction and processing of documents within an organization. It helps businesses streamline their document processes, saving time and money by reducing or eliminating manual data entry, enabling faster decision-making, improving accuracy of data and providing better control over document flow.
Use Cases:
Text categorization involves classifying text into predefined categories based on its content while text summarization reduces a long piece of text to its most important information in a concise form.
Use Cases:
Object recognition and tracking technology involves the use of algorithms and computer vision to identify and track objects in real-time, by analyzing images or videos. Once an object has been identified, the algorithm tracks it as it moves through the frame of the camera or image.
Use Cases:
Facial recognition technology is a specific type of object recognition technology that focuses on identifying and verifying individuals based on their facial features. The technology is capable of analyzing 2D and 3D data points to match a facial feature or movement to a person.
Use Cases:
Smart machines and virtual applications complement each other and work together to deliver better results. Smart machines refer to devices that are capable of collecting, processing and analyzing vast amounts of data to perform various functions and tasks. Virtual applications often times are the software programs that provide smart machines with access to powerful computing resources and data, allowing them to perform more complex tasks and make more accurate decisions, thus enabling the machine to learn and improve performance.
Use Cases:
Whether you’re a company seeking ESG measures or one building tools to help others support their sustainable development goals, AI will play a role in your roadmap. By analyzing large amounts of data, AI can identify patterns and trends that can inform decision-making, optimize resources, reduce waste, and create more sustainable practices.
Use Cases:
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