WFMs are rapidly becoming the cornerstone of autonomous driving and broader robotics. NATIX captures synchronized 360° footage from vehicles around the world — representing the complexity of real-world motion in every direction.
NATIX data helps train end-to-end (E2E) driving models on diverse, real-world multi-camera footage, and refine world models & neural simulation so E2E policies can be stress-tested in photorealistic virtual environments.
NATIX offers OpenSCENARIO (4D) + OpenDRIVE datasets for building simulation-ready environments, and creating data components used by autonomous driving stacks and other Physical AI systems.
NATIX's crowdsourced footage feeds automated HD map construction — lane geometry, road edges and junctions reconstructed at centimetre scale across entire cities.
Signs, signals, lane markings and points of interest are detected and geo-referenced into rich semantic layers, ready for navigation and route planning.
Explore what makes NATIX’s Multi-Camera Data Unique
The multi-camera data that NATIX offers is crowdsourced from drivers, reflecting the randomness of real-world driving, and making it ideal for World Model and End-to-End model creation.
NATIX data spans across three continents, and encompasses driving in different weather, types of the road (city, highway, rural), vehicle trajectory speed, time of day and more.
NATIX uses anonymization AI to automatically strip the captured imagery from personal identifiable information to ensure compliancy with data privacy regulations.
INTERESTED IN NATIX DATA?
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Global coverage and an ever-growing community
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Cost-effective, highly scalable DePIN
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Unique privacy compliant Computer Vision AI
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WFMs are rapidly becoming the cornerstone of autonomous driving and broader robotics. WFMs can simulate millions of real-world scenarios for training, testing, and validation — dramatically accelerating Physical AI development and improving safety and reliability. NATIX captures synchronized 360° footage from vehicles around the world — representing the complexity of real-world motion in every direction.
NATIX's 360 data from Tesla cameras can be used to reconstruct a three-dimensional representation of our world and lay the foundation for Physical AI — empowering autonomous vehicles, robots to understand and interact with their environments more intelligently.
A Visual Positioning System (VPS) allows machines to determine their exact position using visual data, which offers an edge over existing technologies that are lacking in dense urban areas and indoors. Visual positioning solutions can determine the exact position of elements in relation to fixed landmarks and other moving objects.
WFMs are rapidly becoming the cornerstone of autonomous driving and broader robotics. WFMs can simulate millions of real-world scenarios for training, testing, and validation — dramatically accelerating Physical AI development and improving safety and reliability. NATIX captures synchronized 360° footage from vehicles around the world — representing the complexity of real-world motion in every direction.
As the first DePIN project directly contributing to the development of the autonomous driving stack, with the VX360, NATIX provides companies with 360° video data. This offers autonomous driving companies with affordable, and immediate access to the training and pre-training data for their systems and play a pivotal role in developing safer autonomous vehicles.
Scenario generation is a crucial process in the testing, verification, and validation of the autonomous driving stack. Using 360° video collected by VX360 users, NATIX can provide autonomous vehicle companies with classified real-life scenarios of edge cases for smarter, and safer autonomous driving models.
NATIX uses anonymization AI to automatically strip the captured imagery from personal identifiable information before they are contributed to the network. This ensures compliancy with data privacy regulations which is especially important in this day and age.
Map makers can benefit from NATIX’s fresh street-level imagery, ensuring that the captured data reflects the latest changes in the environment. NATIX provides continuous data streams that enable map makers to maintain up-to-date visual information, improving accuracy and reliability of their maps.
NATIX’s data can provide map makers with up-to-date information on dynamic data, such as accidents, construction zones, faulty road infrastructure, and display real-time changes to traffic signs, providing accurate and timely information to drivers about speed limits, lane closures, and other traffic regulations.
NATIX leverages a crowdsourced camera network for data collection. By utilizing existing cameras in smartphones and Tesla vehicles, NATIX provides a cost-effective solution for collecting high-quality data without the need for expensive equipment or extensive setup.
NATIX uses unique incentivization techniques to coordinate and mobilize its crowd-sourced network and offer targeted mapping capabilities. NATIX can provide map makers with street-level imagery data collected from specific areas, covering blind spots efficiently.
Using Edge computing capabilities (on device), our computer vision AI pipeline can be used for real-time map attributes detection (e.g. traffic signs, potholes, road construction, and more), providing valuable insights and data for mapping applications.
NATIX uses anonymization AI to automatically strip the captured imagery from personal identifiable information before they are contributed to the network. This ensures compliancy with data privacy regulations which is especially important in this day and age.
Cities and road operators can revolutionize their infrastructure management by maintaining a comprehensive real-time inventory of critical elements such as traffic signs, traffic lights, and road conditions using NATIX data insights. This real-time inventory provides invaluable information for planning maintenance activities, optimizing traffic flow, and ensuring the safety of road users.
NATIX's comprehensive data capabilities facilitate continuous monitoring and detection of road damages such as potholes, cracks and faded road markings. Proactive monitoring of road conditions enables authorities to identify potential risks, prioritize maintenance tasks, and implement timely repairs or interventions.
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We can help you with existing data or any specific data type you need. We can customize AI models that can detect the event of your interest to support your use-case.
We can target any region or location.If you have data gaps and blindspots in a certain region, NATIX can help you with targeted data collection for the desired use-case.
With our robust API we can connect with any platform for you to use the data seamlessly. You will the data in real-time fed to your system.
Gain access to historic data, whether it's historical pothole records or street-level imagery, through our comprehensive data API to support your analysis and decision-making processes.
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