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Accelerating Robotics Intelligence with High-Quality AI Training Data
High-Quality Robotics Data Services at Scale
DDD enables robotics companies to build smarter, safer, and more capable machines through end-to-end data training solutions. Our teams specialize in multimodal perception annotation, scenario generation, spatial mapping, and validation workflows.
Strategic
We bring industry-tested SMEs, provide training data strategy, and understand the data security and training requirements needed to deliver better client outcomes.
Reliable
Our global workforce allows us to deliver high-quality work, 365 days a year, across multiple countries and time zones. With 24/7 coverage, we are agile in responding to changing project needs.
Consistent
We are lifetime project partners. Your assigned team will stay with you – no rotation. As your team becomes experts over time, they train more resources, that’s how we achieve scalability.
Flexible
We are platform agnostic. We don’t force you to use our tools; we integrate with the technology stack that works best for your project.
Our Capabilities for Robotics
DDD provides comprehensive AI data training services that support perception, simulation, control systems, and embodied intelligence for robotics.
Our End-to-End Data Labeling Solutions for Robotics
Robotic Annotations
DDD delivers fast, accurate labeling across all robotic sensor types to support perception, manipulation, navigation, and human–robot interaction.
Multi-Sensor Fusion
We merge LiDAR, RGB, and depth data to create unified datasets that strengthen robotic perception and reduce navigation uncertainty.
Panoptic Segmentation
DDD combines semantic and instance segmentation to identify object classes and individual instances at pixel-level precision.
3D Point Clouds
We annotate LiDAR and depth-based point clouds for accurate mapping, obstacle detection, and spatial reasoning in robotics.
Bounding Boxes
DDD provides precise 2D and 3D bounding boxes to support object detection and tracking for robotic systems.
Polygon Annotation
We outline exact object shapes with polygon masks to improve fine-grained perception and interaction modeling.
Semantic Segmentation
DDD labels pixel-level classes across scenes to enhance robotic understanding of environments and tasks.
Object Tracking
We track objects across video frames to support motion analysis, behavior recognition, and dynamic environment monitoring.
What Our Clients Say
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Frequently Asked Questions
Do you support simulation or reinforcement learning pipelines?
Absolutely. We provide scenario datasets, synthetic-ready annotations, and structured metadata for simulation, digital twins, and RL environments.
How does DDD maintain quality for robotics datasets?
With multi-layer QA, expert audits, consistency scoring, and robotics-specific guidelines to ensure accuracy for safety-critical applications.
Can DDD scale to large robotic perception datasets?
Yes. Our global workforce and workflow automation support rapid scaling across multiple sensor modalities.
Do you work with both startups and enterprise robotics companies?
Yes. We partner with emerging robotics teams, R&D labs, and large-scale automation companies through flexible engagement models.