InRule Technology
InRule Technology, Inc. is a software development company based in Chicago, Illinois, that specializes in business rules management systems (BRMS). Founded in 2002, InRule provides a comprehensive solution for authoring, managing, and executing business rules, enabling organizations to automate complex decision-making processes. Its flagship product, InRule, includes various components such as irAuthor for defining rules, irVerify for testing, and irSDK for integration with existing applications. The platform supports industries such as insurance, banking, healthcare, government, and manufacturing by allowing business users to independently manage decision logic through a low-code interface. InRule's advanced functionalities enhance operational efficiency and facilitate compliance with regulatory requirements, as businesses can swiftly adapt to changing data and market conditions. By streamlining processes like insurance claims and loan underwriting, InRule empowers organizations to make faster, more transparent decisions while reducing human error.
simMachines provides similarity-oriented solutions for Advanced Analytics. Their technology enables you to discover patterns and anomalies in structured and unstructured data. You can also perform real-time recommendations to make consistent decisions that harness the collective intelligence of all the experts in your organization. Finally, their algorithms allow you to predict the outcomes of future events and interactions.Their most important feature is that they focus on telling you the WHY of a prediction, this allows their algorithms to comply with the most stringent Artificial Intelligence auditing rules. simMachines specializes in bringing the power of Dynamic Predictive Segmentation (DPS) to the complex world of marketing technology. Today’s consumers expect marketers to personalize their messaging, content, and digital experiences, and to demonstrate relevance to their needs and interests. To do that efficiently, the marketer needs an in-depth understanding of what predictive factors drive consumer behavior. Machine learning can help, but most ML models are “black box.” simMachines takes a different approach, using their similarity-based methodology to explain the “WHY” behind every prediction in a fully transparent way. Imagine your marketing segmentation changing as often as your customers change their mind. With simMachines, more relevant, targeted, and predictive connections with customers are the result. simMachines’ product portfolio includes verifyAI, a software platform for use in developing and visualizing dynamic predictive segmentation, and personifyAI, a web-based subscription that uses location-based mobile signal data to build behaviorally-based segmentation. Similarity machines or simMachines provides the most comprehensive set of nearest neighbor-based clustering, discovery, prediction and regression algorithms.
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