AI Solutions

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.

Our AI Capabilities

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

Sentiment Analysis

Entity Extraction

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 languagebased 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 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. 

Use Cases

→  Fraud Detection

→  Investment Opportunities

→  Product Analysis

→  Contract Analysis

→  Content Personalization

→  Medical Record Monitoring

Document Process Automation

Text Categorization & Summation

Object Recognition & Tracking

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

→  Invoice Processing

→  Contract Management

→  Loan Processing

→  HR Onboarding

→  Regulatory Compliance

→  Claims Processing

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

→  Product Categorization

→  Topic Modeling

→  Content Recommendations

→  Chatbot Training

→  Document Clustering

→  Keyword Extraction

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

→  Surveillance and Security

→  Inventory Management & Logistics

→  Augmented Reality & Gaming

→  Marketing & Advertising

→  Fraud Detection

→  Asset Management

Smart Machines & Virtual Applications

Facial Recognition

Sustainability Solutions

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

→  Home Devices

→  Smart Cars

→  Health & Medical Devices

→  Industrial Robots

→  Energy Management Systems

→  Personalize Marketing Systems

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

→  Surveillance and Security

→  Identity Verification

→  Biometric Payment Systems

→  Gaming & Entertainment

→  Healthcare

→  Customer Service

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

→  Diversity & Inclusion

→  Fair Labor & Wages

→  Resource Allocation

→  Employee Well-Being

→  Carbon Footprint Reduction

→  Energy Efficiency

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:  

  • Invoice Processing 
  • Contract Management 
  • Loan Processing 
  • HR Onboarding 
  • Regulatory Compliance 
  • Claims Processing 

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:  

  • Product Categorization 
  • Topic Modeling 
  • Content Recommendations 
  • Chatbot Training 
  • Document Clustering 
  • Keyword Extraction 

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:  

  • Surveillance and Security 
  • Inventory Management & Logistics 
  • Augmented Reality & Gaming 
  • Marketing & Advertising 
  • Fraud Detection 
  • Asset Management 

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:  

  • Surveillance and Security 
  • Identity Verification 
  • Biometric Payment Systems 
  • Gaming & Entertainment 
  • Healthcare 
  • Customer Service 

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:  

  • Home Devices 
  • Smart Cars 
  • Health & Medical Devices 
  • Industrial Robots 
  • Energy Management Systems 
  • Personalize Marketing Systems 

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:  

  • Diversity & Inclusion 
  • Fair Labor & Wages 
  • Health & Medical Devices 
  • Industrial Robots 
  • Energy Management Systems 
  • Energy Efficiency

Our Clients

Case Studies in AI

Discover how we’ve helped clients improve workflows and gain a competitive edge. 

Tell Us A Business Challenge.

We’ll show you how AI can solve it. 

Game Changers in AI

The pace of innovation in AI is rapidly accelerating. Catch up on what’s percolating in the industry.

01

How AI is Transforming Education

Understanding the nuances between data science, big data, and AI is vital to understanding how they work together and how they can help businesses in various ways.

01

Generative AI – All You Need to Know

The potential of generative AI to transform the way we create and consume content is undeniable.

01

AI’s Role in Reducing Inequalities

AI has the power to serve greater purposes for the benefit of society and our world and can play a leading role in ensuring everyone is given fair and equal opportunities.

01

The Role of Artificial Intelligence in Automating Business Processes

With the advent of AI, BPA has become more advanced and intelligent, enabling organizations to automate even complex tasks that were previously difficult to automate.

01

How the Retail Industry Uses Predictive Analytics

By using predictive analytics to plan promotions and pricing, retailers can make more informed decisions that ultimately result in increased sales and profits.

01

AI’s Significance in Diversifying Business Strategy for Digital Transformation: An Exploration

Learn why AI is a critical component of digital transformation strategies.

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