
RunMyJobs by Redwood stands out as the only one that is SAP Endorsed and included in the SAP with RISE reference architecture. As the leading SAP-certified SaaS workload automation platform, enabling organizations to seamlessly automate their entire IT processes and integrate complex workflows across any application, system, or environment without restrictions while ensuring high availability as they grow.
Recognized as the top choice for SAP customers, it offers effortless integration with S/4HANA, BTP, RISE, ECC, and additional platforms, all while preserving a clean core architecture.
Teams are empowered through a user-friendly low-code editor and an extensive library of templates, facilitating smooth integration with both current and emerging technology stacks. Users can monitor their processes in real-time, benefiting from predictive SLA management and receiving timely notifications via email or SMS regarding any performance issues or delays that may arise.
The Redwood team is committed to providing round-the-clock global support with industry-leading SLAs and rapid response times of just 15 minutes, alongside a well-established migration strategy that guarantees uninterrupted operations, including team training and on-demand learning resources to ensure success. Furthermore, Redwood's dedication to customer satisfaction ensures that businesses can focus on innovation while relying on robust support and automation solutions.
Learn more

Azore is a software tool designed for computational fluid dynamics (CFD) that focuses on the analysis of fluid movement and thermal transfers. By utilizing CFD, engineers and scientists can numerically tackle a diverse array of problems related to fluid mechanics, thermal dynamics, and chemical interactions through computer simulations. Azore excels in modeling a variety of fluid dynamics scenarios, encompassing air, liquids, gases, and flows containing particles. Its applications are vast, including the modeling of liquid flow through piping systems and assessing water velocity profiles around submerged objects. Furthermore, Azore is adept at simulating the behavior of gases and air, allowing for the exploration of ambient air velocity patterns as they navigate around structures, as well as examining flow dynamics, heat transfer, and mechanical systems within enclosed spaces. This robust CFD software can effectively model nearly any incompressible fluid flow scenario, addressing challenges associated with conjugate heat transfer, species transport, and both steady-state and transient flow conditions. With such capabilities, Azore serves as an invaluable asset for professionals in various engineering and scientific fields requiring precise fluid dynamics simulations.
Learn more
PFC (Particle Flow Code)
PFC, which stands for Particle Flow Code, is a flexible distinct-element modeling tool available in both two-dimensional and three-dimensional formats, referred to as PFC2D and PFC3D, respectively. This innovative framework is designed to simulate synthetic granular and solid materials by modeling them as collections of rigid particles of different sizes and shapes, which can encompass disks, spheres, and a variety of polyhedra. Its architecture provides an efficient and versatile method for replicating the dynamics, interactions, fragmentation, flow, deformation, and failure of particle systems, proving useful in sectors such as geomechanics, mining, civil engineering, materials processing, and industrial design. Importantly, PFC is particularly effective in situations where material behavior is influenced by particle-level interactions, including contact mechanics, bonding, friction, rearrangement, fracture, and flow, instead of depending on a continuous material mesh. Users can create models of bonded materials, such as rock, concrete, or cemented soil, alongside unbound granular materials like sand, gravel, ballast, ore, powders, and small grains. This wide-ranging functionality renders PFC an essential tool for both researchers and engineers who are engaged with complex material behaviors, facilitating a deeper understanding of the intricate mechanics at play. Furthermore, the ability to customize and adapt models to specific research needs enhances its significance in various scientific and engineering applications.
Learn more
Ansys Rocky
Ansys Rocky is a high-performance particle simulation platform that applies the discrete element method to model the behavior of granular materials, powders, fibers, and other particulate systems. Developed for engineering and industrial applications, the software enables users to study particle interactions with exceptional detail and realism. Ansys Rocky supports realistic particle geometries, including non-spherical shapes, flexible and rigid fibers, 2D shells, and custom particle structures that closely represent real-world materials. Its multi-GPU solver architecture significantly accelerates simulation performance, making it possible to analyze large particle populations and highly complex systems efficiently. The platform includes advanced physical modeling capabilities such as wear prediction, breakage analysis, cohesion modeling, particle collision behavior, and material degradation studies. Engineers can integrate Rocky with computational fluid dynamics and finite element analysis tools to create multiphysics simulations that account for fluid flow, structural interactions, and particle dynamics simultaneously. The software also supports multibody dynamics, 3D scan imports, automated workflows, and customizable simulation scripting. Industries such as mining, pharmaceuticals, food processing, manufacturing, agriculture, chemicals, and consumer products use Ansys Rocky to improve equipment design and optimize operational processes. By reducing dependence on physical testing, organizations can evaluate design alternatives more quickly and lower development costs. Recent enhancements include engineering copilot functionality, expanded multiphysics coupling, improved GPU performance, and advanced automation features that further increase simulation efficiency.
Learn more