InEight
InEight offers integrated project controls software built for capital construction. The modular platform is integrated to support flexible implementation and is architected for scalability. Purpose-built applications manage all project phases, from accurate pre-planning to predictable execution and completion. By connecting cost, schedule, contracts, and project information in one platform, teams gain real-time visibility and advanced analytics to make smarter decisions. Trusted by 850+ companies and used to manage over $1 trillion in projects worldwide, InEight supports industries including infrastructure, transportation, mining, water, power and renewables, nuclear, oil, gas, and chemical. With InEight, teams can improve project delivery, modernize operations, standardize best practices, manage budgets and forecasts, control scope changes, enhance collaboration, and gain the clarity to keep even the most complex capital projects on track.
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Interfacing Integrated Management System (IMS)
Interfacing’s Integrated Management System (IMS) is an AI-powered platform that unifies BPM, QMS, Document Control, and GRC into one platform. Organizations use IMS to model and automate processes, control documents, manage risks, and maintain regulatory compliance with full traceability and audit readiness.
Built for highly regulated sectors such as aerospace, life sciences, finance, and government, IMS provides real-time visibility, automated workflows, and AI-driven insights that improve quality and reduce operational risk. The platform is ISO 27001 certified and fully validated for 21 CFR Part 11, making it suitable for mission-critical environments requiring strong governance, security, and control. IMS also includes low-code automation, process mining, audit management, training tracking, CAPA workflows, and dashboards to help teams streamline operations and continuously improve. AI strengthens governance, improves accuracy, and reinforces regulatory control.
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RapidProM
Today's Information Systems (ISs) record huge amounts of data about the business processes they support. These data can be used for process mining. This way we can analyze the operational processes within an organization based on facts rather than fiction. Examples of these processes are the handling of a loan application within a bank or the treatment of a patient within a hospital. Currently, process mining is gaining more and more attention both in industry and practice. As such, the number of process mining tools is steadily increasing. However, none of these tools allow for composing and executing analysis workflows consisting of multiple process mining algorithms. As a result, the analyst needs to perform repetitive process mining tasks manually and scientic process experiments are extremely labor intensive. To this end, we have connected RapidMiner, which allows for the definition and execution of analysis workflows, with the process mining framework ProM 6.
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