Skillfully transforms the hiring process through AI-powered simulations of skills that show you how candidates perform in real life before you hire them. Our platform helps companies to cut through AI-generated CVs and rehearsed interview by validating real abilities in action. Companies like Bloomberg and McKinsey, who use dynamic job specific simulations and skill assessments to reduce screening time by half while improving hiring quality, have seen their screening times cut by 50%.
Key Features:
Job simulations that simulate real-life situations
AI-powered skill verification across technical and soft skills
Automated screening to identify top performers early
Seamless ATS Integration
Performance-based Interview Guides
Candidate insights and analytics
Bias-free, objective evaluation process
Results include 74% lower hiring cost, 50% faster hiring process and 10x improvement of candidate conversion rates.
Learn more
Azore is software for computational fluid dynamics. It analyzes fluid flow and heat transfers. CFD allows engineers and scientists to analyze a wide range of fluid mechanics problems, thermal and chemical problems numerically using a computer. Azore can simulate a wide range of fluid dynamics situations, including air, liquids, gases, and particulate-laden flow. Azore is commonly used to model the flow of liquids through a piping or evaluate water velocity profiles around submerged items. Azore can also analyze the flow of gases or air, such as simulating ambient air velocity profiles as they pass around buildings, or investigating the flow, heat transfer, and mechanical equipment inside a room. Azore CFD is able to simulate virtually any incompressible fluid flow model. This includes problems involving conjugate heat transfer, species transport, and steady-state or transient fluid flows.
Learn more
MFiX
MFiX, which stands for Multiphase Flow with Interphase eXchanges, serves as an open-source solver designed for multiphase flow and is recognized as NETL’s primary suite of computational fluid dynamics tools for simulating reacting multiphase flows. It has established itself as a benchmark for the comparison, implementation, and assessment of constitutive models in multiphase flow scenarios and has been utilized across a wide variety of multiphase flow devices and industrial applications. Offering various modeling techniques, MFiX includes the Two-Fluid Model, Discrete Element Model, Coarse-Grained Particle DEM, Superquadric Particle DEM, Glued-Sphere Particle DEM, Particle-in-Cell model, hybrid approaches, and a dedicated single-phase solver tailored for granular flows. These advanced models enable the simulation of numerous systems such as gasifiers, circulating fluidized bed combustors, fluidized beds, fluid catalytic crackers, and chemical looping combustion systems, addressing complex interactions involving hydrodynamics, heat transfer, species transport, and various chemical reactions. As a result, MFiX contributes significantly to the understanding and optimization of these intricate processes in both research and industrial settings.
Learn more
XPS (eXtended Particle Simulations)
XPS, short for eXtended Particle Simulations, represents an advanced Discrete Element Method simulation tool crafted by RCPE and made available worldwide by InSilicoTrials, specifically tailored for high-precision particle-based process simulations. This software is particularly focused on the pharmaceutical sector, enabling accurate forecasting of powder and granular material behavior, which aids teams in gaining insights, enhancing predictions, and managing pharmaceutical unit operations more effectively. Utilizing sophisticated contact models, XPS characterizes the flow dynamics of granular materials and employs highly parallel algorithms that are fine-tuned for contemporary GPUs, thereby expediting simulations involving as many as 100 million particles. By providing unparalleled detail in process configuration assessments, XPS empowers pharmaceutical engineers to navigate decision-making spaces virtually, significantly curtail the need for expensive and lengthy physical experiments, and bolster data-driven approaches to process development. As a result, this innovative software not only streamlines operations but also fosters a deeper understanding of material behaviors within pharmaceutical manufacturing environments.
Learn more
