Skillfully
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.
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Innoslate
SPEC Innovations’ leading model-based systems engineering solution is designed to help your team minimize time-to-market, reduce costs, and mitigate risks, even with the most complex systems. Available as both a cloud-based and on-premise application, it offers an intuitive graphical user interface accessible through any modern web browser.
Innoslate's comprehensive lifecycle capabilities include:
• Requirements Management
• Document Management
• System Modeling
• Discrete Event Simulation
• Monte Carlo Simulation
• DoDAF Models and Views
• Database Management
• Test Management with detailed reports, status updates, results, and more
• Real-Time Collaboration
And much more.
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Altair Activate
Altair Activate is utilized to model and simulate a diverse array of products as interconnected systems, facilitating the discovery of improved designs at an accelerated pace. As products across various sectors grow more intricate, electrified, intelligent, and interconnected, the need for advanced simulation tools becomes paramount. By leveraging multi-disciplinary system-level simulation capabilities, designers can develop sophisticated mechatronic systems more holistically, fostering enhanced collaboration and streamlined workflows among product development teams. Altair Activate effectively eliminates barriers between various subsystems, including mechanical, electrical, control, and electronic components, as well as software and hardware-in-the-loop interactions, alongside data analytics. Utilizing 1D modeling and simulation for thermal-fluid system dynamics allows for nearly equivalent accuracy to traditional 3D CFD methods, while significantly reducing timeframes, thereby promoting extensive design exploration and performance optimization more efficiently. This innovative approach not only speeds up the design process but also empowers teams to create more integrated and efficient product solutions.
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RoSi
RoSi serves as a comprehensive digital twin simulation platform that streamlines the creation, training, and evaluation of robotic and automation frameworks, employing both Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL) simulations to produce synthetic datasets. This platform is suitable for both traditional and AI-enhanced technologies and is available as a SaaS or on-premise software solution. Among its standout features are its ability to support various robots and systems, deliver realistic real-time simulations, provide exceptional performance with cloud scalability, adhere to open and interoperable standards (ROS 2, O3DE), and integrate AI for synthetic data generation and embodied AI applications. Specifically tailored for the mining sector, RoSi for Mining addresses the requirements of contemporary mining operations, utilized by mining firms, technology providers, and OEMs within the industry. By leveraging cutting-edge digital twin simulation technologies and a flexible architecture, RoSi enables the efficient development, validation, and testing of mining systems with unparalleled precision and effectiveness. Additionally, its robust capabilities foster innovation and operational excellence among users in the dynamic landscape of mining.
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