Artificial Intelligence & Machine Learning Services | AI/ML

AI/ML Services

Drive your business agility and productivity with Artificial Intelligence and Machine Learning services. Our Cognitive Computing team applies in-depth AI/ML expertise to help you leverage the full value of intelligent automation technologies.

We Help You
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Reduce Costs

Cut down maintenance costs with an automated and flexible system configuration by classifying inquiries, detecting urgency, and resolving issues.

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Simplify Maintenance

We help you delegate routine maintenance aspects to AI/ML solutions by digitizing equipment and automating quality control. 

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Accelerate Business

Infopulse experts can accelerate your operational processes by identifying profitable customers and understanding the reasons for their loyalty.

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Amplify Accuracy

Achieve the highest level of data accuracy with advanced AI/ML technologies for improved decision-making.

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Unlock New Opportunities

Create competitive advantages for your business and meet the rising customer demands with intelligent technology adoption.

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Improve Reliability

Eliminate potential risks, errors, and fraudulent behavior with Infopulse Artificial Intelligence and Machine Learning development services.

Our Solutions

Anomaly Detection

A customizable AI/ML-driven solution to ensure precision in identifying abnormal performance, energy consumption, or equipment failures on industrial sites.

  • Seamless integration with the existing IT infrastructure, including ERP systems
  • Custom audit scenarios
  • Real-time data analytics and processes automation
Link to solutions/anomaly-detection
Customer Support Chatbot

Infopulse сhatbot is designed to enhance support functions by helping users navigate a website, product, or system.

  • Multilingual support and contextual conversations
  • Seamless integration with your website and messaging platforms
  • Accurate analytics to optimize chatbot performance 
Link to solutions/customer-support-chatbot
Mask-Wearing Detection

Streamline and automate the monitoring of personal protective equipment usage. We help detect whether organizations’ visitors conform to the safety rules with intelligent detection algorithms eliminating the need for continuous personal control.

  • Highly accurate mask detection at a minimum scanning frequency of 2 frames per second
  • Face recognition feature capability for premises with regular visitors
  • Instant notifications to preferred communication channels, e.g., Microsoft Teams, emails, messengers
Link to solutions/mask-wearing-detection

What We Do

 Computer Vision
  • People counting
  • People tracking and re-identification
  • Age & gender detection
  • Facial recognition
  • Objects detection
  • Objects movement tracking
  • Objects classification
  • Optical character recognition (OCR)
  • Visual defects detection
  • Items/goods on shelf recognition
NLP (Natural Language Processing)
  • Virtual assistants
  • Documents classification
  • Support tickets and emails classification
  • Items matching
  • Cognitive search
  • Textual information clustering
  • Compliance assistance
  • Security log analysis
Prediction and Advanced Analytics
  • Churn prediction
  • Recommender systems
  • Anomaly detection
  • Customer segmentation
  • Maintenance prediction
  • Advanced quality analytics
  • Behavioral analytics
  • Fraud detection

Our Approach

Understanding Your Business
  • Exploring business needs and challenges
  • Collecting stakeholder requirements
  • Defining the scope of work
Data Acquisition & Analysis
  • Selecting data source: on-premises or cloud
  • Building data pipelines
  • Choosing an environment for data acquisition
  • Data wrangling and exploratory data analysis
Creating a Machine-Learning Model
  • Feature engineering: creating data features from the raw data
  • Model training: choosing the most suitable model
  • Model evaluation: assessing the machine learning model efficiency
Model Deployment
  • Scoring: applying the trained model to a new dataset
  • Performance: measuring the model performance
  • Monitoring: tracking the performance of ML models in production
  • Post-project support


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Azure Machine Learning
and many others



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