Products

PVSOL is a dynamic simulation software designed for the planning, design, and optimization of photovoltaic (PV) systems. It caters to a wide range of projects, from small residential installations to large commercial and utility-scale systems. The software enables users to model various PV configurations, including grid-connected and off-grid systems, with or without battery storage and electric vehicle integration. By providing detailed performance analyses and financial assessments, PVSOL assi

Kumo.AI is a SaaS platform that empowers organizations to build and deploy advanced predictive AI models directly from their relational data. By leveraging state-of-the-art Graph Neural Networks , Kumo.AI eliminates the need for manual feature engineering, enabling users to generate accurate predictions efficiently. The platform is designed to be accessible to both technical and non-technical users, facilitating the development of AI models without extensive machine learning expertise. Key Fea

Transforming apparel & footwear shopping through data

Predict 1D and 2D NMR spectra from structures

Bitcoin Predictor is an advanced dashboard designed to assist day traders in navigating the volatile Bitcoin market. Developed through a collaboration between UC Berkeley students and AnChain.AI, this tool integrates real-time Bitcoin exchange rate predictions, day-trading signal gauges, and Twitter sentiment analysis to empower users in making informed investment decisions while minimizing risks. Key Features and Functionality: - Real-Time Exchange Rate Prediction: Utilizes a Long Short-Term

Bloomberg Law is a comprehensive, subscription-based legal research and workflow platform that integrates primary and secondary legal content, proprietary news, analytics, and practical guidance into a unified system. Launched in 2009 by Bloomberg L.P., it combines real-time legal intelligence with Bloomberg's extensive financial and business data resources, serving attorneys, law students, and other legal professionals. Key Features and Functionality: - AI-Powered Tools: Utilizes artificial i

Shipium's Machine Learning (ML platform revolutionizes supply chain operations by providing real-time predictions of shipping speed, cost, and accuracy. By integrating advanced ML models, Shipium enables businesses to optimize fulfillment processes, enhance delivery precision, and reduce operational expenses. This technology empowers operators to make informed decisions, ensuring efficient and reliable shipping performance. Key Features and Functionality: - Dynamic Time-in-Transit Modeling: Pr

Jetlore is the first CRM solution for B2C enterprises, enabled by a powerful Artificial Intelligence.

Damaged Shipment Prediction analyzes images of shipment packages and predicts with whether they are damaged or not.

AI-Stock-Predictions.com is an advanced investment tool that leverages artificial intelligence to provide accurate and timely forecasts for a wide array of financial assets, including stocks, funds, bonds, indices, cryptocurrencies, metals, oil, and currencies. Designed to assist both novice and experienced investors, the platform offers daily, weekly, and monthly predictions across major stock markets in the USA, Russia, China, and Hong Kong. By analyzing vast amounts of data, including histori

Commodities Artificial Intelligence. We empower our customers to turn the threat of price volatility into an opportunity. Improve outcomes for your business with impartial raw materials price predictions extracted from all of the data that matters. Import our data into SAP Analytics Cloud.

The Freight Cost Prediction solution is designed to help businesses in the transportation and logistics sector accurately forecast shipping expenses. By leveraging machine learning models, this tool analyzes various factors such as shipment mode, weight, and delivery timelines to provide precise cost estimations. This enables companies to optimize their logistics operations, manage budgets effectively, and enhance overall supply chain efficiency. Key Features and Functionality: - Data Integrat

Fleksy is a world-class virtual keyboard for iOS and Android. Serving millions of users around the globe every second of every day, Fleksy holds the Guinness Book of World Records as the fastest keyboard in the world and is the best option when privacy matters. Unlike most other keyboards, Fleksy’s AI algorithm is crazy small at just 2-4MB we are able to localize it on your device, ensuring that your typing data is never sent to the cloud or stored anywhere. The Fleksy SDK is our Software Deve

Effective scheduling for hospital admission is a major challenge as there is uncertainty in patient’s length of stay and large errors in estimations can lead to capacity pressures. To tackle this, Virtusa-GCTS has developed a Deep Learning based solution which will accurately predict how long a newly admitted patient will stay in the hospital. The model uses cutting edge regression algorithms. This model not only helps Hospitals to plan and deploy their resources effectively but also helps insur

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.

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 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 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 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.

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.