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. It is a collection of interoperable software modules that allow the vehicle to answer three key questions, where am I? What’s around me? What do I do next? Selenium spans the technological spectrum, from low-level device drivers, through calibration, 4-modal localization, mapping, perception, machine learning and planning, and its remarkable vertical integration even covers user interface and data export systems. It does not even need GPS or HD-Maps (although this can still be utilized, if available).
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Mobileye
From a variety of ADAS solutions to a self-driving system for autonomous public transport or goods delivery, all the way to consumer AVs. By developing everything from the silicon through to the self-driving system in-house, numerous efficiencies and synergies are unlocked, allowing us to reach AV at scale. From the beginning, Mobileye has developed hardware and software in-house, paving the way for highly efficient hardware, software, and algorithmic stacks at a superior cost-performance ratio. Everything Mobileye develops is safe by design, with a distinct strategy so that the technology can reach the mass market.
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NVIDIA Alpamayo 2 Super
NVIDIA Alpamayo 2 Super is a frontier open model for robotaxis and autonomous vehicles, built to reason through rare, complex driving situations and produce decisions developers can inspect, validate, and trust. Based on NVIDIA Cosmos 3 Super Reasoner and post-trained with reinforcement learning, it combines commercial openness with multitask capabilities for autonomous driving. The model reasons across full-surround camera coverage, fusing front, side, and rear views to understand lane changes, merges, unprotected turns, and complex intersections. For each scenario, it can generate a planned vehicle trajectory, a chain-of-causation trace explaining the decision, a meta-action such as yielding or stopping, reasoning auto-labels for training and validation, and visual question-answering responses grounded in specific image regions. These linked outputs make it easier to connect what the model observed with the action it selected.
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Waymo
Waymo is an autonomous driving technology company that develops self-driving vehicles and operates fully driverless transportation services. Originally created as Google’s self-driving car project in 2009, the company later became an independent subsidiary of Alphabet with the goal of making transportation safer, more accessible, and more efficient through autonomous mobility. Its core technology, known as the Waymo Driver, combines artificial intelligence, high-resolution cameras, radar, lidar sensors, and detailed digital maps to allow vehicles to perceive their surroundings and navigate roads without human intervention. It continuously analyzes traffic signals, pedestrians, other vehicles, and road conditions to determine safe driving actions in real time. Before operating in a new area, Waymo vehicles map roads in extreme detail, identifying lane markings, signs, and intersections, and then combine this information with real-time sensor data to maintain precise positioning.
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