Products

Heimdal® is a leading cybersecurity provider offering a comprehensive suite of solutions designed to protect organizations from a wide range of digital threats. Established in 2014, Heimdal has developed an integrated platform that combines advanced threat prevention, detection, and response capabilities, ensuring robust security across endpoints, networks, and email systems. Their unified approach simplifies IT operations, enhances threat visibility, and provides real-time defense mechanisms ag

Tapjoy maximize the value of every user for freemium mobile app publishers with its Marketing Automation and Monetization Platform for mobile apps uses market leading data science, user segmentation and predictive analytics to drive deeper engagement and optimize revenue from every user.

AGi32 is first and foremost, a calculation tool for accurate photometric predictions: A technical tool that can compute illuminance in any situation, assist in luminaire placement and aiming, and validate adherence to any number of lighting criterion. However, there is so much more that can be done to enhance the understanding of photometric results. Visualization is extremely important to comprehend changes in luminance for different materials and surface properties and predict the effect of v

Freshmarketer is an AI-powered marketing automation platform designed to help businesses attract, nurture, and convert leads across multiple channels. By integrating email, SMS, WhatsApp, and social media, it enables marketers to engage customers on their preferred platforms, creating personalized experiences that drive higher engagement and conversions. With advanced automation and real-time analytics, Freshmarketer streamlines marketing efforts, allowing teams to focus on strategy and growth.

ConverSight is a Unified Decision Intelligence platform that empowers organizations to make data-driven decisions through its AI assistant, Athena. By integrating Business Intelligence (BI, augmented analytics, predictive analytics, and planning capabilities, ConverSight offers real-time, voice-activated reporting, customizable dashboards, and proactive insights. Its no-code, low-code approach ensures accessibility for users across various technical backgrounds, facilitating efficient data analy

Qymatix offers a predictive sales analytics solution for B2B sales. It is designed to help a sales team to sell more, find hidden opportunities and avoid customer churn.

Customer churn refers to the loss of existing clients or customers. This solution identifies E-commerce customers who are more likely to stop using the E-commerce app or the portal. During the training stage, the solution automatically conducts feature interaction on the training data and selects a subset of features based on feature importance. It then trains multiple models and identifies the best performing model. This model is then selected for prediction on new data.

Customer churn refers to the loss of existing clients or customers. This solution identifies newspaper customers who are more likely to discontinue their current subscription. During the training stage, the solution automatically conducts feature interaction on the training data and selects a subset of features based on feature importance. It then trains multiple models and identifies the best performing model. This model is then selected for prediction on new data.

Customer churn refers to the loss of existing clients or customers. This solution identifies broadband customers who are more likely to discontinue their current broadband service provider. During the training stage, the solution automatically conducts feature interaction on the training data and selects a subset of features based on feature importance. It then trains multiple models and identifies the best performing model. This model is then selected for prediction on new data

Customer churn refers to the loss of existing clients or customers. This solution identifies mobile network subscribers who are more likely to change their operator. During the training stage, the solution automatically conducts feature interaction on the training data and selects a subset of features based on feature importance. It then trains multiple models and identifies the best performing model. This model is then selected for prediction on new data.

Customer churn refers to the loss of existing clients or customers. This solution identifies bank customers who are more likely to close their account and leave the bank. During the training stage, the solution automatically conducts feature interaction on the training data and selects a subset of features based on feature importance. It then trains multiple models and identifies the best performing model. This model is then selected for prediction on new data.

This solution provides compositional analysis and predicts the number of incidents pertaining to each ticket group. The insights around incident distribution helps in proper capacity planning, resulting in efficient resource utilization.

Customer churn refers to the loss of existing clients or customers. This solution identifies insurance customers who are more likely to close/not renew their policies with the insurance provider. During the training stage, the solution automatically conducts feature interaction on the training data and selects a subset of features based on feature importance. It then trains multiple models and identifies the best performing model. This model is then selected for prediction on new data.

The AMI Disease State Predictor is a machine learning model designed to predict the likelihood of Acute Myocardial Infarction (AMI, commonly known as a heart attack. By analyzing patient data, this tool aims to assist healthcare professionals in identifying individuals at risk, enabling timely intervention and personalized treatment plans. Key Features and Functionality: - Predictive Analytics: Utilizes advanced machine learning algorithms to assess patient data and predict the probability of

The Asthma Disease State Predictor is a cloud-based predictive modeling system designed to enhance the early detection and management of asthma. By leveraging advanced machine learning algorithms and real-time data analysis, this tool aims to predict asthma exacerbations, thereby improving patient outcomes and reducing emergency interventions. Key Features and Functionality: - Predictive Modeling: Utilizes machine learning techniques to analyze patient data and predict potential asthma exacerb

The Leukemia Disease State Predictor is an advanced machine learning model designed to assist healthcare professionals in accurately diagnosing and classifying various subtypes of leukemia. By analyzing comprehensive genomic data, this tool enhances the precision and efficiency of leukemia diagnosis, facilitating timely and personalized treatment plans. Key Features and Functionality: - Multi-Class Classification: Utilizes sophisticated algorithms to differentiate between multiple leukemia sub

The Total Cost Predictive Model is a comprehensive solution designed to forecast and manage transportation expenses effectively. By integrating real-time data capture through AWS IoT Core and related services, it ensures seamless connectivity and data ingestion from various devices and sensors involved in logistics operations. This includes vehicle telemetry and environmental conditions, contributing to a rich dataset for model training. The implementation encompasses the complete deployment of

The Anemia Disease State Predictor is an advanced analytical tool designed to assist healthcare providers in identifying and managing anemia within patient populations. By leveraging comprehensive data analysis, this tool enables early detection of anemia, facilitating timely interventions and improved patient outcomes. Key Features and Functionality: - Comprehensive Data Integration: Aggregates and analyzes diverse patient data to identify patterns indicative of anemia. - Predictive Analytic

The Colorectal Cancer Disease Predictor is an advanced tool designed to assess an individual's risk of developing colorectal cancer. By analyzing various factors such as age, family history, lifestyle habits, and medical history, this predictor provides a personalized risk assessment, enabling early detection and proactive management strategies. Key Features and Functionality: - Comprehensive Risk Evaluation: Utilizes a wide range of data points, including demographic information, personal and

The MS Disease State Predictor is an advanced machine learning model designed to assist healthcare professionals in predicting the progression of multiple sclerosis in patients. By analyzing a comprehensive set of clinical and imaging data, this tool provides early and accurate assessments of disease severity, enabling timely therapeutic interventions to potentially slow or prevent further neurological deterioration. Key Features and Functionality: - Multimodal Data Analysis: Integrates variou