DDD partners with enterprises to deliver the high-quality training data and ML operations needed to deploy Physical AI safely and at scale.
Data Points Labeled Annually
Miles Mapped
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.
Training and evaluation data that strengthens monitoring, alerting, and safety-assist features for modern vehicles.
Data that teaches robots to perceive 3D space, manipulate objects, navigate cluttered environments, and collaborate with humans.
Structured imaging, workflow automation, and robotics-assisted annotation to advance patient safety and clinical AI systems.
Training data for crop analytics, autonomous farm machinery, livestock monitoring, weed detection, and precision-farming automation.
Training datasets for motion understanding, dexterity tasks, embodied reasoning, and real-world human–robot interaction models.
Our specialists understand the requirements of each Physical AI domain, ensuring your datasets meet real-world operational standards.
With thousands of trained specialists across multiple continents, we ensure uninterrupted production for long-term, high-volume data programs.
Our iterative QA frameworks, domain subject matter experts, and multilayer review cycles ensure consistent accuracy, even for the most complex multimodal datasets.
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,…
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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…
Verified controls across security, confidentiality, and system reliability
Holistic security management backed by continuous audit
Ensuring responsible handling of personal and medical data
Every dataset is managed within controlled facilities, with strict access protocols, encryption practices, and a trained workforce committed to confidentiality.
Our end-to-end services include:
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.
