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Full-Stack AI Coding Agents Software
Full-stack AI coding agents are autonomous systems capable of handling both frontend and backend development tasks using AI-driven logic and machine learning models. They can analyze project requirements, generate code, debug errors, and optimize performance without human intervention. These agents leverage natural language processing to understand user prompts and convert them into functional, production-ready applications.
Artificial Intelligence Software
Artificial Intelligence (AI) software is computer technology designed to simulate human intelligence. It can be used to perform tasks that require cognitive abilities, such as problem-solving, data analysis, visual perception and language translation. AI applications range from voice recognition and virtual assistants to autonomous vehicles and medical diagnostics.
IT Management Software
IT management software is software used to help organizations and IT teams improve operational efficiency. It can be used for tasks such as tracking assets, monitoring networks and equipment, managing workflows, and resolving technical issues. It helps streamline processes to ensure businesses are running smoothly. IT management software can also provide accurate reporting and analytics that enable better decision-making.
Autonomous Driving Software
Autonomous driving software is the intelligence behind self-driving vehicles, enabling them to perceive their environment, make decisions, and control vehicle movements without human intervention. It integrates computer vision, machine learning, sensor fusion, and path planning to detect objects, interpret traffic conditions, and navigate safely. These systems rely on inputs from cameras, lidar, radar, GPS, and onboard sensors to ensure real-time situational awareness. The software also includes decision-making algorithms for acceleration, braking, steering, and responding to unexpected obstacles or road conditions. By combining perception, prediction, and control, autonomous driving software aims to deliver safer, more efficient, and fully automated mobility solutions.
Connected Car Software
Connected car software enables vehicles to interact with external systems and networks, allowing for enhanced features such as real-time data sharing, navigation, entertainment, remote diagnostics, and safety monitoring. This software integrates with in-car sensors, mobile apps, and cloud platforms to offer services such as predictive maintenance, location tracking, autonomous driving support, and personalized user experiences. Connected car platforms may also include features like over-the-air (OTA) updates, vehicle-to-vehicle (V2V) communication, and integration with smart city infrastructures. These tools are essential for improving vehicle performance, safety, and convenience while also contributing to the development of autonomous vehicles and smart transportation systems.
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    Oxbotica Selenium
    Selenium is our flagship product, a full-stack autonomy system, the product of over 500 person-years of effort. An on-vehicle suite of software which given a drive-by-wire interface and very modest compute hardware, brings full autonomy to a land-based vehicle. Selenium has the ability to transform any suitable vehicle platform into an autonomous vehicle, both at prototype volume and at scale.
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  • 2
    AWS Connected Vehicle Solution
    ...To help customers more easily develop and deploy a wide range of innovative connected vehicle services, AWS offers a connected vehicle solution that provides secure vehicle connectivity to the AWS Cloud, and a framework that helps customers integrate AWS IoT and AWS Greengrass into the Automotive Grade Linux (AGL) software stack. The connected vehicle solution includes capabilities for local computing within vehicles, sophisticated event rules, and data processing and storage. The solution is designed to provide a framework for connected vehicle services, allowing you to focus on extending the solution's functionality.
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  • 3
    Applied Intuition Vehicle OS
    ...Developers work within a unified Workbench environment featuring integrated build and testing tools, CI pipelines, and automated validation workflows. It bridges vehicle intelligence across ecosystems by combining autonomy stacks, simulation suites including vehicle dynamics and sensor simulation, and a vibrant developer toolchain.
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