Physical AI Data Solutions
DDD partners with enterprises to deliver the high-quality training data and ML operations needed to deploy Physical AI safely and at scale.
Scalable, Production-Ready Physical AI Data
500M+
Data Points Labeled Annually
1M+
Miles Mapped
99.5%+
Accuracy across Data Pipelines
Digital Divide Data supports global leaders in Physical AI with an integrated approach to data collection, training, verification, and continuous improvement. Our domain expertise, structured workflows, and global delivery ecosystem enable Physical AI models to perform reliably in unpredictable environments.
Our Physical AI Services
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ML Model Development
Our ML model development for physical AI delivers rich, multimodal datasets to accelerate training across perception, prediction, localization, control, and human-robot interaction models. -
Scenario Services
Our scenario services for Physical AI help identify, generate, and validate rare, safety-critical edge cases. Whether through real-world logs, curated datasets, or simulation frameworks, we help you stress-test how your system behaves in diverse conditions. -
Geospatial Intelligence
Geospatial services for Physical AI helps convert raw aerial, satellite, and ground-level inputs into precise map layers that support navigation, digital twins, and geolocation systems for robots and autonomous platforms. -
Product Verification & Validation
Product V&V for AI systems helps evaluate model outputs against ground truth, safety rules, and performance metrics, enabling your engineering teams to meet product-readiness requirements, regulatory expectations, and internal quality benchmarks. -
In-Cabin AI & UX
For In-Cabin AI and UX intelligence we train datasets that capture human attention, biometrics, gestures, posture, and interactions, supporting next-generation driver monitoring systems, autonomous cabin experiences, and occupant safety features.





Industries
Autonomous Driving
ADAS
Training and evaluation data that strengthens monitoring, alerting, and safety-assist features for modern vehicles.
Robotics
Data that teaches robots to perceive 3D space, manipulate objects, navigate cluttered environments, and collaborate with humans.
Healthcare
Structured imaging, workflow automation, and robotics-assisted annotation to advance patient safety and clinical AI systems.
AgTech
Training data for crop analytics, autonomous farm machinery, livestock monitoring, weed detection, and precision-farming automation.
Humanoids
Training datasets for motion understanding, dexterity tasks, embodied reasoning, and real-world human–robot interaction models.
Why Choose DDD?
Domain-Driven Approach
Our specialists understand the requirements of each Physical AI domain, ensuring your datasets meet real-world operational standards.
Always-On Global Delivery
With thousands of trained specialists across multiple continents, we ensure uninterrupted production for long-term, high-volume data programs.
Technology-Flexible
Quality at Scale
Our iterative QA frameworks, domain subject matter experts, and multilayer review cycles ensure consistent accuracy, even for the most complex multimodal datasets.
What Our Clients Say
DDD gave us the ability to scale our perception model pipeline without sacrificing quality. Their teams quickly became an extension of ours.
Their deep understanding of robotic perception and scenario data made a measurable difference in our model’s real-world performance.
Working with DDD significantly accelerated our ag-tech roadmap. They delivered complex annotations with accuracy we struggled to achieve internally.
The speed at which DDD absorbed our workflows and matched our quality expectations was remarkable. They enabled us to iterate faster with confidence.
Reliable, secure, and exceptionally detail-oriented, DDD consistently exceeded our expectations across multiple data programs.
Read Our Latest Blogs
Vision-Language-Action Models: How Foundation Models are Transforming Autonomy
In this blog, we explore how Vision-Language-Action models are transforming the autonomy industry. We’ll trace how they evolved from vision-language systems into full-fledged embodied agents, understand how they actually work,…
Overcoming the Challenges of Night Vision and Night…
In this blog, we will explore how to overcome challenges of night vision and night perception in autonomy through major challenges, emerging technologies, novel datasets, and data-driven solutions that bring…
Cuboid Annotation for Depth Perception: Enabling Safer Robots…
In this blog, we will explore what cuboid annotation is, why it matters for depth perception, the challenges it presents, the future directions of the field, and how we help…
DDD’s Commitment to Security & Compliance

SOC 2 Type 2
Verified controls across security, confidentiality, and system reliability

ISO 27001
Holistic security management backed by continuous audit

GDPR & HIPAA Compliance
Ensuring responsible handling of personal and medical data

TISAX Alignment
Every dataset is managed within controlled facilities, with strict access protocols, encryption practices, and a trained workforce committed to confidentiality.
Comprehensive AI Data Solutions for Physical AI Systems
Frequently Asked Questions
Our end-to-end services include:
- Mapping, localization & digital-twin validation
- Digitization and metadata enrichment for archives and institutions
- Annotation across image, video, LiDAR, radar, & 3D sensor data
- Text & speech labeling for LLMs and multimodal models
- Data curation, structuring & validation
We rely on structured HITL workflows, multilayer QA, and continuous workforce training, supported by domain experts, to maintain accuracy levels above 99.5%.
Yes, we operate under ISO 27001, SOC 2 Type 2, GDPR, HIPAA, and TISAX-aligned protocols to ensure maximum data protection.
Yes. We provide RLHF, synthetic data validation, safety evaluations, and structured dataset creation to support advanced GenAI and multimodal Physical AI models.