Mathworks Australia

Pillar

Data & AI

Products & services

• MATLAB: A high-level programming language and interactive environment for numerical computation, visualization, and programming. It enables users to analyze data, develop algorithms, and create models, enhancing productivity and innovation. Competitors include Python (with libraries like NumPy and SciPy) and R. • Simulink: A graphical environment for modeling, simulating, and analyzing dynamic systems. It allows engineers to design and test complex systems in a visual format, improving design efficiency and accuracy. Competitors include PTC's Mathcad and National Instruments' LabVIEW. • Stateflow: A tool for modeling and simulating event-driven systems using state machines and flow charts. It helps in designing complex logic and control systems, streamlining the development process. Competitors include IBM's Rational Rhapsody and Microsoft Visio. • Simscape: A library for modeling and simulating physical systems in MATLAB and Simulink. It provides a way to integrate physical modeling with control design, enhancing system performance and reliability. Competitors include ANSYS and COMSOL Multiphysics. • Optimization Toolbox: A collection of functions for solving optimization problems. It aids in finding the best solutions for various applications, improving decision-making and resource allocation. Competitors include Gurobi and IBM ILOG CPLEX. • Statistics and Machine Learning Toolbox: A suite of tools for statistical analysis and machine learning. It empowers users to extract insights from data, driving informed business decisions. Competitors include SAS and IBM Watson. • Image Processing Toolbox: A set of functions for image processing, analysis, and visualization. It enables users to enhance and analyze images, improving the quality of visual data interpretation. Competitors include Adobe Photoshop and OpenCV. • Control System Toolbox: A collection of tools for designing and analyzing control systems. It simplifies the process of developing robust control strategies, enhancing system stability and performance. Competitors include Mathcad and LabVIEW Control Design. • Communications System Toolbox: A set of tools for designing and simulating communication systems. It helps engineers develop efficient communication protocols, improving data transmission reliability. Competitors include Keysight Technologies and National Instruments. • Deep Learning Toolbox: A framework for designing and implementing deep learning algorithms. It accelerates the development of AI applications, enhancing capabilities in data-driven decision-making. Competitors include TensorFlow and PyTorch.