Vertix Robotics empowers autonomous mobility by providing high-quality, AI-ready annotations that enhance vision models and ensure safer, smarter vehicle navigation systems.
Enabling Safe and Reliable Autonomous Mobility Through High-Quality Data Annotation
We empower mobility companies to build and deploy advanced computer vision and AI models with confidence by delivering high-quality, precise data annotation services. Our accurate labeling supports the development of robust autonomous vehicle systems, enhancing object detection, tracking, and decision-making capabilities in complex real-world environments. By ensuring reliable and consistent annotations, we help reduce model errors, accelerate training cycles, and improve overall system safety. Our services are tailored to meet the demanding needs of the mobility sector, enabling smarter, safer, and more efficient autonomous transportation. With Vertix Robotics, your AI models are powered by data you can trust.
Autonomous Driving Revolutionizes 6 Industries
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Logistics & Freight
Optimising Last‑Mile Delivery with Autonomous Trucks
Warehouse Integration: Automated Loading and Unloading
Cross‑Border Freight Corridors: Challenges and Solutions
Platooning Convoys for Fuel Efficiency
Predictive Maintenance through Vehicle Telematics
Regulatory Frameworks for Self‑Driving HGVs
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Ride‑Hailing & Shared Mobility
Shifting Fleet Ownership to Autonomous Vehicle Subscriptions
Dynamic Routing Algorithms for On‑Demand Services
Passenger Safety Protocols in Driverless Shuttles
Urban Parking Optimisation with Robotic Valet Systems
Accessibility Improvements for Elderly and Disabled Riders
Data Privacy and Trust in Shared Autonomous Fleets
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Public Transit & Infrastructure
Integrating Autonomous Buses into Existing Networks
Smart Traffic Signals Coordinated with Driverless Fleets
Designing Dedicated Lanes for Autonomous Shuttles
Multi‑Modal Hubs: Seamless Transfers between AVs and Trains
Public Acceptance and Community Engagement Strategies
Infrastructure Upgrades for 5 G-Enabled Vehicle Communications
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Mining & Construction
Driverless Haul Trucks in Open‑Pit Mines
Autonomous Bulldozers and Excavators for Site Prep
3D Site Mapping with Lidar‑Equipped AVs
Collision Avoidance in Dynamic Construction Zones
Fleet Coordination for Earth‑Moving Efficiency
Worker Safety Protocols around Autonomous Machinery
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Defense & Security
Unmanned Convoys for Logistics Resupply
Autonomous Reconnaissance Vehicles in Complex Terrain
Swarm Robotics: Coordinated UAV‑UGV Operations
Secure Communication Networks for AV Fleets
Ethical and Legal Implications of Lethal Autonomous Weapons
Battlefield Mapping and Obstacle Detection with Lidar
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Agriculture and Farming
Autonomous Tractors for Precision Tilling and Seeding
Drone‑AV Collaboration for Crop Monitoring and Spraying
Field Mapping with 3D Lidar for Terrain‑Adaptive Routing
Harvest Automation: Porting Driverless Tech to Combine Harvesters
Soil Health Prediction Models Powered by AV Data
Regulatory and Safety Considerations for Rural Deployment
Why Vertix Robotics?
Why Vertix Robotics? Vertix Robotics excels in delivering rapid, high-precision object detection annotation for autonomous systems. Our versatile labeling options-including horizontal, rotated, and oriented bounding boxes-ensure accurate localization and directional insights at sub-second processing speeds. Backed by cutting‑edge AI tools and a dedicated annotation team, we streamline complex workflows while maintaining rigorous quality control. With Vertix Robotics, you gain a trusted partner capable of powering swift decision‑making and enhancing passenger safety in dynamic, real‑world driving scenarios.
Bounding Box
A reliable autonomous vehicle shall be swift in decision making protecting the passengers and the driver in hazardous situations and to ensure a calm and full of joy ride. Processing of images to localize objects with bounding boxes is called object detection. As the localization is done using bounding boxes the actual boundaries of objects are captured. However, it offers the processing less computationally heavy task to localize an object in a portion of a second. We offer you three types of bounding boxes: Horizontal, Rotated and Oriented. The oriented bounding box can give hints about in which direction an object is heading to.
3D Bounding Box(Cuboid)
We live and drive in a three-dimensional world, and to achieve full awareness and understanding of our surroundings, it's essential to detect and locate objects in 3D space. Vertix Robotics offers precise 3D object detection annotation in both images and videos using 3D bounding boxes, also known as cuboids. These annotations enable AI algorithms to perceive depth, orientation, and spatial positioning-critical for applications like autonomous driving, robotics, augmented reality, and advanced surveillance systems-ensuring safer, smarter decision-making in real-world environments.
Why Vertix Robotics?
Why Vertix Robotics? Vertix Robotics leads the industry in 3D object detection annotation by combining advanced AI-driven cuboid labeling with rigorous quality assurance. Our specialized tools and expert team deliver highly accurate depth, orientation, and spatial data, ensuring your models excel in autonomous driving, robotics, and AR applications. With secure, scalable infrastructure and rapid turnaround times, Vertix Robotics empowers you to develop robust, real‑world AI systems that make smarter decisions and enhance safety across diverse environments.
Point Cloud(Lidar, Radar)
A consistent 360° perception of the surrounding is essential for an autonomous vehicle to operate safely and reliably all the time. A combination of laser sensors such as LiDAR can provide a vehicle with this perception with point cloud data. This perception capability is boosted even further by RADAR capturing objects far ahead of the vehicle. They do not have the shortcomings of optical cameras for instance in poor weather conditions. To design an AI algorithm to be capable of localizing objecting using laser data, we provide you with accurate, and inexpensive 3D bounding box and 3D point-wise segmentation.
Sensor Fusion
We as humans have several senses to shape our understanding of the environment around us by fusing the output of sense with each other. Vehicles like us need to combine all their perceiving sensors to capture the moment correctly in order to make the right decision. However, the annotation of each sensor data separately, not only multiplies the required effort, but also can lead to inconsistencies between the annotations of the same object in the different sensor outputs. In Nazru, we have designed an efficient AI-powered sensor fusion tool that only one sensor output has to be annotated and the annotation of the rest of sensors are created automatically according to positional location. This not only decreases the required effort and costs by several times, but also it brings consistency to the final output.
Video Tracking
In an autonomous vehicle, it is required to foresee hazardous situations and to predict the future at least by some golden seconds to prevent the material damage or endangering the pedestrians. This goal can be achieved by detection of each object and tracking it by keeping its object identity. This will allow us to predict the future if an object is occluded by another object for a while and will appear afterwards. This will also allow to predict the trajectory of the object and to calculate whether this trajectory will intersect with the vehicle's trajectory. We offer you single-object tracking (SOT) and multi-object tracking (MOT) annotation using our Human-guided AI annotation tool to deliver you with high-quality and seamless labeled data.
Lane Marking
In Advanced Driver Assistance Systems (ADAS), there is a system called Lane Departure Warning. More broadly, an autonomous vehicle should be able to localize itself between lanes and to have an understanding of lane-marking meanings. Like humans learning the meaning of the lane-markings, an autonomous vehicle should be taught to understand the message conveyed by each lane-marking class. In Nazru, using our AI-powered annotation tool, we are able to annotate even very tiny lane-markings with their semantics several times faster than manual annotation and yet with consistency and high-quality.
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Why Vertix Robotics?
Why Vertix Robotics? Vertix Robotics delivers rapid, high‑precision lane-marking annotation for ADAS and autonomous driving through our AI-powered Nazru tool. We accurately capture even the smallest lane-marking semantics-such as solid, dashed, or colored lines-at speeds far exceeding manual methods while maintaining exceptional consistency and quality. Backed by robust QA processes and scalable infrastructure, we ensure your models learn the exact meaning of each lane-marking class, empowering vehicles to localize, warn, and navigate safely in complex road environments.
Why Vertix Robotics?
Why Vertix Robotics? Vertix Robotics offers industry‑leading drivable‑area detection annotation, delivering precise, multi-class segmentation of safe driving zones. Our AI-driven tools and expert annotators produce high‑quality, scalable labels-enabling autonomous vehicles to differentiate between traversable and non‑traversable terrain in real time. With robust QA, fast turnaround, and cost-effective workflows, we ensure reliable navigation and enhanced passenger safety, even in complex or hazardous environments. Partnering with Vertix means your AI systems receive the accurate data they need to make split‑second decisions and confidently guide vehicles along the safest paths.
Drivable Area
An autonomous vehicle should know where it can drive and where it cannot. This not only helps the vehicle maintain its journey and take control when needed, but also ensures that in hazardous situations, it can navigate to a safe zone instead of colliding with static objects-protecting both the vehicle and its passengers. Accurate drivable area detection enhances safety, improves decision-making, and is essential for reliable autonomous navigation in complex and unpredictable real-world environments.
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Autonomous Driving Annotation Services
Vertix Robotics offers comprehensive annotation services designed to power autonomous driving and Earth Observation AI models with high-quality, scalable, and cost‑effective data. Their end-to-end workflow covers everything from pixel-wise semantic segmentation and bounding box annotation to advanced 3D cuboid labelling, point‑cloud processing, sensor fusion, object tracking, lane‑marking semantics, and drivable‑area detection. Vertix Robotics ensures reliable, consistent annotations that enhance model performance in complex real‑world environments by leveraging AI-powered tools and a dedicated annotation team. Their services support diverse industries-transportation, logistics, smart cities, agriculture, healthcare, and manufacturing-delivering the data foundation needed for safer, smarter, and more efficient autonomous systems.
Why Vertix Robotics?
With AI‑driven annotation tools, stringent QA processes, secure infrastructure, and rapid turnaround times, Vertix Robotics delivers precise, reliable datasets at scale. Their deep domain expertise and flexible services accelerate model training, reduce costs, and enhance safety-making them the trusted partner for next‑generation autonomous driving and Earth Observation applications.