Products

Impulse is a powerful tool for engineers who need to analyze pressure surges—commonly known as water hammer—in pumping systems. Designed for practical, everyday engineering needs, Impulse helps users predict transient pressures, identify potential issues, and optimize system performance before construction or operation begins. By proactively modeling surge effects, engineers can detect issues early in the design process, avoiding costly retrofits or failures, and achieving long-term cost savi

Converge Bio is a pioneering company that integrates Generative AI with biological data to revolutionize drug discovery and development. By leveraging Large Language Models (LLMs) trained on the unique syntax of biological systems, Converge enables biotech and pharmaceutical companies to predict biological outcomes, gain deeper insights, and generate novel molecular candidates. This approach enhances the understanding of complex molecular interactions, signaling pathways, and disease mechanisms,

C3 AI Smart Lending is an advanced artificial intelligence application designed to transform the credit origination and risk management processes for financial institutions. By leveraging interpretable, auditable, and traceable AI models, it provides a comprehensive view of a bank's data to assess approval likelihood and predict potential financial distress. This enables institutions to accelerate decision-making, reduce manual review costs, and ensure consistency across risk teams. Key Featur

KRAFT Software is a leading global information technology and consulting services company. KRAFT helps companies with their digital transformation with the help of Software AG’s Digital Business Platform. Kraft finds an opportunity to their client for bringing them on new ‘digital’ journeys, promote unique value propositions, and create new business opportunities. Kraft helps enterprises to integrate, connect and manage as well as analyze data and predict future events based on Artificial Intell

Manage Comics is Subscription Software for Comic Stores. Subscriptions are at the heart of every comic shop’s business model. They guarantee return trips from your customers, and it makes it easier for you to predict what you need, and when you need it. The problem is subscriptions are hard to manage. Your customers want to know what they are getting, and when they are getting it. They want to be able to order new things, and they want to see what they have waiting for them. If you give them c

Mphasis time series ticket forecasting helps businesses predict the number of tickets of a specific type based on historic data. This will help businesses assess the level of automation as well as human intervention required to resolve the issues and plan accordingly. It uses ensemble ML algorithms with automatic model selection algorithms. This solution provides consistent and better results due to its ensemble learning approach. This solution performs automated model selection to apply the rig

Hippoc is a cutting-edge technology that provides a solution to the challenges faced by marketers in traditional advertising testing. Their web-based app leverages AI and neuroscience to predict the cognitive impact of an advertisement before it is launched online. This allows marketers to instantly validate the effectiveness of their ads, saving time and reducing ad budget wasted on poor ads. The company's innovative approach has made it a popular choice among a wide range of marketing professi

MINEDW is a three-dimensional (3D), finite-element, groundwater flow program that was developed specifically for mining applications. MINEDW is used worldwide to design dewatering or depressurization systems, predict local and regional environmental impacts of mine dewatering, assist in the design of water-supply systems, simulate the infilling of a “pit lake” after mining ceases, and estimate pore-pressure distributions within highwalls for geotechnical design purposes. Its user friendly graphi

The Behavioral Data Platform by Synerise is an advanced solution designed to centralize and analyze customer data from various channels, including mobile, web, and physical stores. By integrating first-party data with third-party sources, it creates comprehensive 360-degree customer profiles. This real-time data processing enables businesses to understand customer behaviors, predict future actions, and deliver personalized experiences at scale. The platform's AI-driven segmentation and analytics

Baselayer's Business Identity Solutions offer a comprehensive platform designed to streamline the Know Your Business (KYB) process for financial institutions, lenders, and payment companies. By leveraging proprietary Graph AI technology, Baselayer enables real-time verification of business entities, significantly reducing the time and effort traditionally required for business onboarding and compliance checks. This solution addresses the growing challenges of fraud detection and regulatory compl

Sensi.AI is an innovative AI-driven platform designed to enhance the quality of home care for seniors by providing continuous, real-time monitoring and analysis of their well-being. Utilizing advanced audio technology, Sensi.AI offers a comprehensive understanding of a senior's physical, emotional, and cognitive needs, enabling caregivers to detect, predict, and prevent potential health issues before they escalate. This proactive approach ensures that seniors can age safely in the comfort of the

A high frequency of issues can generate an overwhelming number of tickets and incorrect delegation to teams to handle them. This leads to a spike in MTTR (mean time taken to resolve) and a dip in FCR (First Call Resolution). The solution mitigates these issues by training a multi-factor ML model that considers factors like ticket impact, urgency, priority, issue description and other features to predict the most relevant group to resolve a ticket. A pool of models is run through data to select t

A high frequency of issues can generate an overwhelming number of help desk tickets and incorrect delegation to teams to handle them. This leads to a spike in MTTR (mean time taken to resolve) and a dip in FCR (First Call Resolution). The solution mitigates these issues by training a multi-factor ML model that considers factors like ticket impact, urgency, priority, issue description and other features to predict the most relevant group to resolve a ticket. A pool of models is run through data t

A high frequency of issues can generate an overwhelming number of service desk tickets and incorrect delegation to teams to handle them. This leads to a spike in MTTR (mean time taken to resolve) and a dip in FCR (First Call Resolution). The solution mitigates these issues by training a multi-factor ML model that considers factors like ticket impact, urgency, priority, issue description and other features to predict the most relevant group to resolve a ticket. A pool of models is run through dat

Retail Sales Forecasting generates 30 months of forward forecast of retail sales using historical data. This solution helps retailers to predict future sales and thereby optimize their inventory, logistics, warehouse management, production planning, personnel allocation, etc. It uses ensemble ML algorithms with automatic model selection algorithms. This solution provides consistent and better results due to its ensemble learning approach. This solution performs automated model selection to apply

A high frequency of issues can generate an overwhelming number of customer complaint tickets and incorrect delegation to teams to handle them. This leads to a spike in MTTR (mean time taken to resolve) and a dip in FCR (First Call Resolution). The solution mitigates these issues by training a multi-factor ML model that considers factors like ticket impact, urgency, priority, issue description and other features to predict the most relevant group to resolve a ticket. A pool of models is run throu

A high frequency of issues can generate an overwhelming number of application tickets and incorrect delegation to teams to handle them. This leads to a spike in MTTR (mean time taken to resolve) and a dip in FCR (First Call Resolution). The solution mitigates these issues by training a multi-factor ML model that considers factors like ticket impact, urgency, priority, issue description and other features to predict the most relevant group to resolve a ticket. A pool of models is run through data

We specialize in developing intelligent software that can curb financial crime and predict bankruptcy. Because we want to contribute to a world of less fraud, deception and money laundering. We started Creditro because we saw a credit rating market that had not kept pace with developments. We saw several bankruptcies happen, without credit rating agencies having responded in time. And in particular, we criminals got more resources available, which made them harder to find. We would do some

Digital Agriculture Services provides rural data and analytics services to better predict and manage agriculture investment and commerce. Only the DAS Rural Intelligence Platform™ offers complete coverage of Australian rural property, with scientifically supported, ground-truthed data and insights. The company was established in partnership with CSIRO, Australia’s national science and research agency, in 2017, with a mission to deliver reliable rural intelligence. The company is applying mac

Klear is a Capital Intelligence platform that helps companies manage and optimize working capital across the cash conversion cycle. It connects operational and financial data—orders, receivables, payables, and cash—into a single system that generates a live capital plan, giving real-time visibility into where capital is and where it’s going. With Klear, teams can predict liquidity, identify constraints early, and take action directly within the platform—turning day-to-day operations into a str