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Physical AI Autonomous Driving

Build Safer Autonomous Vehicles with Autonomous Driving Data Solutions

DDD provides end-to-end training data services for autonomous vehicles, enabling innovators to develop and deploy safe, scalable physical AI.

100+

Solved complex industry use cases

>2B

High-quality annotations delivered

1M+

Accuracy across Data Pipelines

Bridging the Gap between Safety, Innovation, and Performance with Autonomous Vehicle Data Services

DDD offers comprehensive autonomous vehicle sensor data solutions to scale model development, scenario generation, geospatial mapping, and product validation with precision. We ensure high-integrity datasets and testing assets that accelerate model readiness and real-world AV reliability.

Strategic

We deliver end-to-end AV solutions, from sensor integration to ML pipelines, ensuring precision and safety.

Reliable

Our 24/7 global workforce adapts to shifting needs, delivering high-quality AV data solutions across time zones.

Consistent

Your dedicated team stays with you, building expertise over time and training new resources for seamless scalability.

Flexible

We integrate with your existing tech stack, ensuring smooth implementation and optimized performance for your AV applications.

What Our Clients Say

DDD’s development solutions transformed our initial concepts into fully functional and optimized systems. Their expertise in navigation and HD mapping helped us build robust autonomous models that are reliable and accurate.

– CTO, Autonomous Driving Company

DDD’s operations team helped us with remote assistance and DMS/CMS monitoring that ensured smooth and efficient fleet operation. Their commitment to optimal performance and safety is truly impressive.

– Senior Product Manager, ADAS Company

The expertise of DDD allowed seamless deployment and management of our autonomous systems. The remote assistance and DMS/CMS monitoring ensured our fleet operated at peak efficiency with minimal downtime. The fleet on-call support and operational tagging further streamlined our operations, enhancing both performance and safety.

– Project Lead, Autonomous System Company

DDD’s expertise in product validation and regulatory reporting was invaluable, ensuring that our autonomous platform met all necessary standards and regulations. The thorough ODD analysis and safety case preparation they provided gave us the assurance we needed to launch our product confidently.

– Chief Product Officer, Mobility Company

Customer Success Stories

LiDAR Segmentation

LiDAR Segmentation for ADAS with 97%+ Quality

Our client needed a highly skilled and rapidly scalable annotation team capable of segmenting and labeling massive LiDAR datasets with exceptional precision to ensure safe and reliable ADAS performance.


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LLM

AI Driven Engineering Solutions

Empowering enterprises with scalable AI and ML deployment strategies.


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AI

Optimizing Model Performance Through LLM Fine-Tuning Expertise

See how DDD accelerates Autonomous Driving innovation through data-driven success stories.


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AI

AI Driven Engineering Solutions

Empowering enterprises with scalable AI and ML deployment strategies.


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AI

Discover Our Expert Insights and Whitepapers

Deep dive into the latest technologies and methodologies shaping the Autonomous Driving industry.

Empower Autonomous Driving with Precision-Labeled Multimodal Data

Frequently Asked Questions

What sensor data types can DDD annotate?
We work with cameras, LiDAR, radar, IMU, thermal, HD maps, synthetic sensor outputs, and simulation data.
How does DDD ensure accuracy for safety-critical AV datasets?
DDD uses multi-layer QA, domain-trained SMEs, consistency checks, assisted tooling, and review loops optimized for autonomy performance requirements.
Can DDD support scenario generation for simulation testing?
Yes. We mine real-world logs, reconstruct edge cases, and annotate simulation-ready assets for virtual testing and regression validation.
Does DDD support global mapping and localization needs?
Absolutely. We provide geospatial data structuring, lane topology extraction, and HD map feature annotation for global operational domains.
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