Best Engineering Software in the Middle East - Page 90

SDC Verifier serves as a comprehensive software tool for structural design, finite element analysis (FEA), and compliance verification with relevant design codes and standards. It can function as a standalone application or as an add-on to platforms like Ansys Mechanical, Femap, and Simcenter 3D, enhancing their capabilities for engineers and designers.

Intel® SceneScape is a cutting-edge software platform that facilitates the creation of 4D digital replicas of real-world environments through the integration of data from a variety of sensors. This pioneering system enhances tracking functionalities beyond conventional vision-based AI, allowing for immediate monitoring, asset management, and informed decision-making. Featuring a user-friendly low-code interface and support for multiple sensor types, SceneScape simplifies the implementation of robust AI solutions across diverse sectors, including defense, transportation, healthcare, and retail. Its capabilities for near real-time tracking and analytics significantly boost operational efficiency and situational awareness, making it an invaluable tool for organizations aiming to optimize their processes. Furthermore, SceneScape's adaptability ensures that it can evolve with technological advancements, keeping users at the forefront of innovation.

Seqera is an innovative bioinformatics platform crafted by the team behind Nextflow, aimed at optimizing and improving the oversight of scientific data analysis workflows. It provides a robust array of tools, such as the Seqera Platform for managing scalable data pipelines, Seqera Pipelines that grant access to a handpicked selection of open-source workflows, Seqera Containers to facilitate container management, and Seqera Studios that create interactive environments for data analysis. The platform is designed to integrate smoothly with a variety of cloud and on-premises systems, promoting reproducibility and compliance within scientific research. Users can incorporate Seqera into their existing infrastructures, including major cloud services like AWS, GCP, and Azure, all without the need for mandatory migrations. This flexibility allows for total control over data residency while enabling global scalability, ensuring that security and performance are never compromised. Furthermore, Seqera empowers researchers to enhance their analytical capabilities while maintaining a seamless operational flow within their established systems.

The PeakAvenue Platform stands as an advanced, web-based Software as a Service (SaaS) system aimed at optimizing the entire product lifecycle with remarkable effectiveness. By merging features from e1ns, Quality Center, XERI, and Isograph into one cohesive platform, it empowers users to choose from various specialized applications and methodologies that suit their unique requirements. The platform streamlines the digital transformation of the product lifecycle, providing tools such as a communication hub, connectivity options, quality assurance loops, a structured Failure Mode and Effects Analysis (FMEA), processes for capturing lessons learned, and enhanced visibility into the supply chain. Utilizing cutting-edge web and cloud technologies, PeakAvenue simplifies the onboarding process for new employees through browser-based access, accommodates flexible scaling for personnel, methods, and applications, and offers reliable hosting for software updates and deployment. Furthermore, it maintains rigorous IT security measures and can incorporate artificial intelligence functionalities as needed, making it a versatile choice for organizations aiming to enhance their operational efficiency. This comprehensive approach not only streamlines workflows but also encourages continuous improvement across the product lifecycle.

Profluent's innovative platform transforms the field of protein design by seamlessly combining cutting-edge AI technology with its own experimental capabilities, allowing for the development of proteins that are either inspired by nature or entirely newly conceived. This comprehensive methodology provides precise, flexible, and scalable solutions to intricate biological problems, resulting in advancements that push the boundaries of protein functionality. Profluent's foundational models extend protein design beyond the constraints of traditional random approaches, enabling the simultaneous optimization of various characteristics, enhancing sequence diversity, and unlocking new functionalities. By venturing into unexplored protein territories, Profluent presents distinctive opportunities that surpass the limitations of natural or patented proteins, streamlining the process for partners to achieve commercial viability in a more cost-effective and accessible manner. Underpinning Profluent's capabilities is a strong dedication to scientific excellence, utilizing a wide range of datasets and advanced AI techniques to address complex challenges effectively. As a result, Profluent not only advances protein engineering but also sets a new standard in the industry, fostering innovative collaborations and breakthroughs.

SurgePV is a comprehensive solar design platform developed to streamline the way solar professionals design, manage, and sell projects. With AI-powered roof modeling, detailed shading analysis, and energy performance simulations, SurgePV enables users to create optimized solar designs in minutes, not hours. The platform integrates with multiple mapping providers and generates accurate Bills of Materials (BOM) and single-line diagrams (SLDs), reducing manual work. SurgePV's intuitive interface and real-time financial insights empower solar installers, engineers, and sales professionals to deliver faster proposals, better designs, and increased project profitability.

GENESYS is Zuken's innovative platform for model-based systems engineering that facilitates the effective management and communication of product information, allowing teams to concentrate on driving innovation. This platform encompasses the entire engineering workflow, from the initial concept phase through to verification and validation, all within a unified environment that captures essential product details at various levels, including high-level use cases, system context, system and subsystem definitions, and intricate design connections. By ensuring that every system design is coherent, consistent, and complete, GENESYS offers advanced authoring capabilities, featuring automatic diagram generation and rule-based formatting options. Additionally, it provides validation of logical consistency and behavior through the use of executable models, ensuring seamless integration with existing authoring tools. Based on the Comprehensive Systems Definition Language (CSDL) that adheres to the Systems Modeling Language (SysML) standard, GENESYS delivers a high degree of semantic precision, enhancing the quality of engineering outputs. Ultimately, this powerful tool not only streamlines the design process but also fosters collaboration among teams, leading to more innovative and efficient product development.

PyBullet is a versatile Python library designed for simulating physics, robotics, and deep reinforcement learning, and it is rooted in the Bullet Physics SDK. This module enables users to load articulated bodies from various formats such as URDF and SDF, while also offering capabilities like forward dynamics simulation, inverse dynamics computation, kinematics, collision detection, and ray intersection queries. In addition to its robust simulation features, PyBullet includes rendering options, such as a CPU renderer and OpenGL visualization, along with support for virtual reality headsets. It finds applications in numerous research initiatives, including Assistive Gym, which utilizes PyBullet to facilitate physical human-robot interactions and advance assistive robotics for collaborative and physically supportive tasks. Additionally, the Kubric project serves as an open-source Python framework that collaborates with PyBullet and Blender to create photorealistic scenes complete with detailed annotations, demonstrating its ability to scale to extensive projects that can be distributed across thousands of machines. This combination of functionalities makes PyBullet an essential tool for researchers and developers working in the fields of robotics and simulation.

MORAI presents an innovative digital twin simulation platform designed to expedite the development and evaluation of autonomous vehicles, urban air mobility solutions, and maritime autonomous surface vessels. This platform utilizes high-definition mapping and an advanced physics engine to seamlessly connect real-world applications with simulated testing environments, ensuring all critical components for validating autonomous systems are included, such as those for self-driving cars, drones, and unmanned marine vehicles. It features a comprehensive array of sensor models, which encompass cameras, LiDAR, GPS, radar, and Inertial Measurement Units (IMUs). Users have the capability to create intricate and varied testing scenarios derived from actual data, including those based on logs and edge cases. Furthermore, MORAI's cloud-based simulation framework enables safe, efficient, and scalable testing processes, allowing multiple simulations to operate simultaneously while assessing various scenarios in parallel. This robust infrastructure not only enhances the reliability of testing but also significantly reduces the time and costs associated with the development of autonomous technologies.

CarMaker serves as a dedicated simulation solution aimed at the creation and efficient evaluation of cars and light-duty vehicles throughout all phases of development, including MIL, SIL, HIL, and VIL. It provides a robust, real-time vehicle model that allows for the early construction of virtual prototypes during the development phase. Users have the flexibility to substitute any component with tailored models or hardware to meet specific needs. By integrating the virtual prototype with a dynamic driver model, a sophisticated traffic simulation, and an intricate road and environment setup, it enables automated, repeatable testing at any time. The user-friendly interface is designed for straightforward parameter adjustments. With the introduction of Movie NX, CarMaker offers a new visualization tool that produces photorealistic simulations of various scenarios. This feature includes realistic lighting and weather effects, allowing the virtual world to simulate real situations at any hour and in any season. Additionally, the built-in high dynamic range (HDR) camera models facilitate accurate testing of camera systems, enhancing the overall testing capabilities. The comprehensive nature of CarMaker makes it a valuable asset for vehicle development and testing.

TruckMaker is an advanced real-time simulation platform designed specifically for the needs of heavy-duty vehicle development and testing, encompassing trucks, construction machinery, buses, semi-trucks, and specialized vehicles. This solution facilitates precise modeling of real-world testing conditions in a virtual environment, thereby enhancing the efficiency of development workflows. By aligning with the automotive systems engineering methodology, TruckMaker allows for continuous development, calibration, testing, and validation of complete vehicle systems within realistic virtual scenarios through test driving simulations. It provides a powerful, real-time vehicle modeling capability that enables the creation of virtual prototypes at the initial phases of the development process. Additionally, users can customize their simulations by integrating their own components or hardware models, further tailoring the simulation experience to their specific requirements. This flexibility and realism make TruckMaker an invaluable tool in the heavy-duty vehicle industry.

MotorcycleMaker is a cutting-edge real-time simulation platform designed specifically for the intricate needs of developing and testing motorized two-wheel vehicles, including motorcycles, e-bikes, and scooters. This innovative tool facilitates precise modeling of real-life testing conditions within a virtual realm, thereby enhancing the efficiency of development workflows. By adhering to the principles of automotive systems engineering, MotorcycleMaker allows for virtual test driving that supports the comprehensive development, adjustment, assessment, and validation of complete systems in realistic environments. It provides a robust, real-time vehicle model that enables the creation of virtual prototypes from the early phases of the development cycle. Additionally, users can customize their experience by integrating their own models or hardware components into the simulation. This adaptability ensures that the platform meets a wide range of user needs, making it a versatile choice for developers in the industry.

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.

Kebotix is a pioneering technology platform focused on the development of new chemicals and materials, heralding a transformative era of rapid innovation through the integration of artificial intelligence and robotic automation. The company has introduced the world's first autonomous laboratory dedicated to materials discovery, driven by AI and robotics, which revolutionizes traditional research methods. By greatly enhancing the exploration, discovery, utilization, and production of novel molecules and materials, Kebotix aims to address some of the most pressing challenges faced globally. Collaborate with us to expedite the market introduction of your products while leveraging our cutting-edge material design technologies that are enabled by our self-driving lab. Kebotix propels your research and development efforts into the new digital frontier by offering tailored enterprise AI solutions specifically designed for materials discovery. With our automated learning system that improves with each cycle of predict-produce-prove, we empower you to deliver superior products to market more swiftly than ever before. This innovative approach not only saves time but also significantly enhances the efficiency of the research process.

Osium AI is an advanced software platform that harnesses artificial intelligence to assist industry leaders in speeding up the creation of sustainable, high-performance materials and chemicals. Utilizing an innovative technology founded on over ten years of expertise and numerous AI patents, Osium AI provides a comprehensive solution that addresses all phases of the materials and chemicals development process, including formulation, characterization, scale-up, and manufacturing. This platform empowers users to swiftly predict any material or chemical property within seconds, create optimal research and development experiment plans, and quickly analyze material characteristics and flaws. Additionally, it allows for the optimization of current processes, leading to reduced costs, improved material properties, and lower CO₂ emissions. With its adaptable software, Osium AI is equipped to support a wide range of R&D projects while accommodating the ever-changing demands of the industry. Overall, the platform stands out as a crucial tool for enhancing innovation in materials science.

BIOVIA Materials Studio serves as an all-encompassing platform for modeling and simulation, specifically tailored to assist researchers in the fields of materials science and chemistry in forecasting and comprehending how a material's atomic and molecular configurations correlate with its characteristics and functionalities. By adopting an "in silico first" strategy, researchers can enhance material performance in a budget-friendly virtual environment before moving to physical experimentation. This versatile software accommodates a diverse array of materials, such as catalysts, polymers, composites, metals, alloys, pharmaceuticals, and batteries. With capabilities that span quantum, atomistic, mesoscale, statistical, analytical, and crystallization simulations, it streamlines the development of innovative materials across multiple sectors. Additionally, its features promote rapid innovation, decrease research and development expenditures through virtual screening, and boost productivity by automating established practices within Pipeline Pilot, making it an indispensable tool for modern material research and development. This comprehensive functionality not only enhances research efficiency but also positions users at the forefront of material advancements.

BIOVIA ONE Lab serves as a robust laboratory informatics platform aimed at optimizing workflows, fostering collaboration, and expediting research efforts in diverse scientific fields. This solution offers a cohesive environment for the management of laboratory data and processes, allowing researchers to make informed decisions more swiftly. It is utilized by organizations in various sectors such as Life Sciences, Consumer Packaged Goods, and Energy & Materials, among others. ONE Lab is adaptable for use in Research, Development, and Quality Assurance/Quality Control, catering to the unique requirements of scientists within each discipline. It effectively oversees samples, experiments, data, inventory, and equipment, as well as workflows, by integrating seamlessly with a variety of laboratory instruments and software. By utilizing a singular data model across all functional areas, ONE Lab eliminates artificial barriers that typically exist between Electronic Lab Notebooks (ELN), Laboratory Information Management Systems (LIMS), Laboratory Execution Systems (LES), and inventory management. This cohesive integration promotes efficiency and enhances the overall productivity of laboratory operations. Ultimately, BIOVIA ONE Lab empowers scientists to focus on innovation and discovery without the hindrances of fragmented systems.

Thermo-Calc is an advanced thermodynamic modeling tool utilized by materials scientists and engineers to derive data on material properties, deepen their understanding of materials, clarify specific phenomena, and address targeted inquiries regarding certain materials and their processing techniques. This software comes equipped with a variety of standard calculators included in all licenses, such as the Equilibrium Calculator, Scheil Solidification Simulations, Property Model Calculator, General Model Library, Material to Material Calculator, Pourbaix Diagram Module, and the Data Optimization Module (PARROT). Additionally, users can enhance Thermo-Calc's capabilities with multiple Add-on Modules and access over 40 databases, all seamlessly integrated into a single platform, creating a cohesive working environment. The software allows for the calculation of the state of a specified thermodynamic system, yielding valuable insights into phase quantities and compositions, transformation temperatures, solubility thresholds, and the driving forces behind phase formation, among other important metrics. Furthermore, this powerful modeling tool facilitates innovative research and development in materials science by enabling users to simulate various scenarios and predict outcomes effectively.

Danomics is an innovative cloud-based platform tailored for subsurface interpretation, aiming to enhance the capabilities of geologists and engineers in analyzing geological formations. It provides sophisticated tools for mapping and characterizing reservoirs, alongside scalable cloud-supported log analysis and robust decline curve and type curve evaluations. The platform facilitates the importation of various data types like well headers, logs, tops, core data, and shapefiles in commonly used formats, enabling the creation of structure and isopach maps that adhere to geological principles while streamlining the process of identifying tops with assisted correlation. Furthermore, users can efficiently expand their interpretations across thousands of wells, personalize their analyses with spatial interpolation tools, and develop 3D models and visualizations of reservoir properties for enhanced understanding of production factors. Among its numerous features are workflows based on mineral inversion, automated data conditioning, machine learning-driven washout repair, and lithofacies and shear log modeling, all designed to optimize the analysis process. Overall, Danomics represents a significant advancement in subsurface interpretation technology, providing essential tools for modern geological exploration.

QSimulate presents an array of quantum simulation platforms that harness the principles of quantum mechanics to address intricate, large-scale challenges in life sciences and materials science. The QSP Life platform introduces innovative quantum-enhanced techniques for drug discovery and optimization, facilitating pioneering quantum simulations of ligand-protein interactions that are relevant throughout the entire computational drug discovery journey. Meanwhile, the QUELO platform enables hybrid quantum/classical free energy calculations, empowering users to conduct relative free energy assessments via the free energy perturbation (FEP) method. Furthermore, QSimulate's advancements enable significant progress in quantum mechanics/molecular mechanics (QM/MM) simulations tailored for extensive protein modeling. In the realm of materials science, the QSP Materials platform opens up quantum mechanical simulations to a broader audience, allowing experimentalists to streamline complex workflows without requiring specialized expertise, ultimately fostering greater innovation in the field. This democratization of technology marks a pivotal shift in how researchers can approach and solve scientific problems.

The CrowdChem Data Platform serves as an innovative knowledge hub tailored for the chemistry sector, utilizing data gathered through independent means. This platform empowers users to efficiently choose raw materials and identify potential customers via its advanced data analysis capabilities and text mining techniques. For instance, it facilitates the exploration of novel raw material combinations, enhances the precision of chemical product usage research, and generates lists of prospective customers for various companies. Users benefit from the ability to navigate a vast repository of information sourced from patents, academic papers, catalogs, and news articles, thus streamlining the process of data retrieval. By leveraging machine learning and natural language processing technologies, the platform allows for seamless raw material selection and customer identification, while also supporting competitive analysis and additional functionalities. Ultimately, this integration of cutting-edge technology enhances overall efficiency and decision-making in the chemistry domain.

Atinary's Self-Driving Labs (SDLabs) platform offers a no-code solution for AI and machine learning, aimed at transforming research and development workflows by allowing conventional laboratories to move from hands-on experiments to fully autonomous experimentation. This platform enhances the design and refinement of experiments through a comprehensive closed-loop system that incorporates AI-generated hypotheses, forecasts, and decisions. Among its notable features are multi-objective optimization, efficient database management, streamlined workflow orchestration, and real-time data analysis. Users have the capability to set experimental parameters with specific constraints, enabling machine learning algorithms to determine the next steps in the process, conduct experiments either manually or with robotic aid, analyze outcomes, and update models with the latest data, thus expediting the pursuit of improved, cost-effective, and environmentally friendly products. Additionally, Atinary offers proprietary algorithms, including Emmental for tackling non-linear constrained optimization, SeMOpt for implementing transfer learning in Bayesian optimization, and Falcon, which collectively enhance the platform's functionality and effectiveness. By leveraging these advanced tools, researchers can achieve greater efficiency and innovation in their experimental processes.

AQChemSim is an innovative cloud-based platform created by SandboxAQ that utilizes Large Quantitative Models (LQMs) based on principles of physics and chemistry to transform the landscape of materials discovery and enhancement. By incorporating techniques such as Density Functional Theory (DFT), Iterative Full Configuration Interaction (iFCI), Generative AI, Bayesian Optimization, and Chemical Foundation Models, AQChemSim facilitates precise simulations of molecular and material dynamics in real-world scenarios. The platform's features allow it to forecast performance under diverse stress conditions, expedite formulation via in silico testing, and investigate eco-friendly chemical processes. Remarkably, AQChemSim has achieved notable progress in battery technology, cutting the prediction time for lithium-ion battery end-of-life by 95%, while also attaining 35 times greater accuracy with a mere fraction of the data previously required. This advancement not only streamlines research but also paves the way for more efficient and sustainable energy solutions in the future.

Accuris stands out as a premier provider of digital engineering solutions powered by artificial intelligence, delivering a comprehensive array of tools aimed at optimizing engineering workflows, improving compliance, and speeding up the pace of innovation. Their leading product, Engineering Workbench Professional, consolidates more than 2.8 million industry standards, codes, and specifications into a unified platform, allowing engineers to efficiently access and utilize essential information. Notable functionalities include an AI-enhanced semantic search, a Smart Compare feature for analyzing document versions, and micro-alerts that offer real-time notifications regarding changes in standards. Additionally, Accuris Thread supports this ecosystem by streamlining the extraction and management of requirements throughout the engineering lifecycle, which boosts traceability and fosters collaboration among teams. Another significant product, Goldfire, leverages AI technology to deliver accurate responses to technical inquiries by comprehensively understanding and analyzing extensive engineering datasets, thus empowering engineers with the knowledge they need to drive projects forward. Overall, Accuris is committed to transforming the engineering landscape through innovative solutions that enhance productivity and foster continuous improvement.

Symbotic is an innovative automation solution for warehouses that transforms the supply chain through its comprehensive, AI-driven robotic system. This platform features a coordinated fleet of autonomous mobile robots and robotic arms, which are outfitted with sophisticated vision and sensing technologies, allowing them to efficiently create optimized mixed-case pallets with unmatched speed and density. Its modular architecture facilitates easy scaling and adaptation to existing warehouse setups, thereby enhancing flexibility in both size and expansion. Furthermore, Symbotic's high-density storage framework, coupled with its advanced distributed storage algorithm, significantly optimizes space utilization, boosts capacity, and supports unparalleled speeds for product storage and retrieval. The AI-driven software orchestrates the activities of numerous autonomous robots, effectively managing the entire system from case digitization to complex routing, sequencing, and the assembly of ideal mixed-SKU pallets. As a result, businesses can achieve remarkable operational efficiency and adapt more easily to changing demands in the marketplace.