Oracle Real-Time Decisions
Oracle Real-Time Decisions (RTD) combines both rules and predictive analytics to power adaptive solutions for real-time enterprise decision management. It enables real-time intelligence to be instilled into any type of business process or customer interaction while it happens. A high-performance transactional server delivers real-time decisions and recommendations. This server automatically renders decisions within a business process and reveals insights, creating actionable intelligence from data flowing through the process in real-time. Closed-loop decisions enable the business community to implement closed-loop business logic. Analytical decisions enable business communities to implement rules-based or predictive-based decisions that leverage existing analytical assets. Self-adjusting processes enable the business community to implement processes that automatically adjust based on feedback and overtime.
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Reins
Reins is a global mobility payments and orchestration platform powering end-to-end payment programs across fuel, EV charging, parking, and tolls.
We serve fuel retailers, fleet operators, mobility providers, and payment players through a single unified layer that supports both closed-loop and open-loop models.
Reins is also the gateway for banks, fintech, and digital payment providers entering the mobility space. We enable them to extend existing card programs into fully governed mobility and fleet solutions, connect to acceptance networks, and manage complex payment flows with real-time control, risk management, and full settlement visibility, without building mobility infrastructure from scratch.
Built on a three-layer architecture, Reins combines API-first infrastructure, advanced payment control, and commercial growth tools, including loyalty, pricing, segmentation, and partner management.
The result: faster scaling, better control, and turning payments into a growth engine.
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Leap Rail
Leap Rail provides a flexible platform for streamlining operating room management through artificial intelligence, workflow automation, and patient, physician, and staff engagement.
Operating rooms are dynamic and unpredictable and change is the only constant. Through artificial intelligence and predictive analytics, Leap Rail enables your OR management, physicians, surgical staff, and even external vendors to anticipate what is likely to happen and empowers them to make timely adjustments to deliver safer, better, and more cost-effective care.
Get a comprehensive 360-degree view of your OR in real-time and bring your organization into the next era of efficiency and patient care.
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COLUMBO
Closed-loop universal multivariable optimizer for Model Predictive Control (MPC) performance and Model Predictive Control (MPC) quality improvements. Use data in Excel files from DMC (Dynamic Matrix Control) from Aspen Tech, or from RMPCT (Robust Model Predictive Control Technology) from Honeywell, or Predict Pro from Emerson and use it to generate and improve correct models for the various MV-CV pairs. Amazing new optimization technology does not need step tests as required by Aspen tech, Honeywell, and others. It Works entirely in the time domain, is easy to use, compact, and practical. Model Predictive Controls (MPC) can have 10s or 100s of dynamic models. One or more could be wrong. Bad (wrong) Model Predictive Control (MPC) dynamic models produce a bias (model prediction error) between the predicted signal and the measured signal coming from the sensor. COLUMBO will help you to improve Model Predictive Control (MPC) models with either open-loop or completely closed-loop data.
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