Celebrating 25 years of DDD's Excellence and Social Impact.

AI Data Solutions Powered by
Human Intelligence

We transform the complex, real-world data into production-ready training and validation assets that accelerate the AI model performance, deployment, and long-term ROI

Your Trusted AI Data Services Partner for High-Performance AI Models

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500M+

Data Points Labeled Annually

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1M+

Miles Mapped

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99.5%+

Accuracy across Data Pipelines

Digital Divide Data (DDD) delivers end-to-end ML Data Operations and Training Data Solutions for Large Language Models (LLMs) and Computer Vision systems. Trusted by Fortune 500 enterprises and global innovators in Physical AI, Gen AI, and Data Services, we combine human expertise with advanced workflows to ensure model safety, precision, and performance.

Empowering AI with Human Intelligence

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Multimodal Annotation

Transforming visual data through Image & Video Annotation, 3D LiDAR, and Multisensor Fusion.

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Data Collection & Curation

Fueling AI innovation with high-quality, diverse, and reliable data.

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RLHF & LLM Fine-Tuning

Human preference optimization and fine-tuning for large-scale AI models.

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Language Services

Connecting global audiences through translation, transcription, multilingual NLP, and conversational AI.

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ML Model Development

Building, training, and validating models with human-in-the-loop quality assurance for real-world performance.

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Content Services & Digitization

Digitizing records through OCR, conversion, data cleaning, and structuring.

Industries We Serve

Defence Technology

Agriculture Technology

Geospatial Intelligence

ADAS

Autonomous Driving

In-Cabin AI & UX

Robotics

Healthcare

Finance & Accounting

Cultural Heritage

Our Technology Partners

Collaborating with leading platforms to deliver smarter, faster, and more reliable AI solutions.

DDD Prioritizes Security & Compliance

Protecting your data with enterprise-grade infrastructure and unwavering integrity.

At Digital Divide Data (DDD), data security isn’t just a policy, it’s our foundation. We understand that our clients entrust us with their most sensitive data, and we safeguard it through global standards, audited processes, and a culture of confidentiality that runs deep across every level of our organization.

Certified for Trust and Quality Assurance

We adhere to internationally recognized frameworks that guarantee data protection and service reliability

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SOC 2 Type 2 Certified

Validated controls for security, availability and confidentiality.

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ISO 27001 Certified

Comprehensive information security management system ensuring end-to-end protection.

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GDPR & HIPAA Compliant

Data handling aligned with global privacy regulations and U.S. healthcare compliance standards.

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TISAX

Our security framework aligns with TISAX requirements to protect sensitive information across all workflows.

Transforming Data into Real-World Impact

Insights into how human expertise and domain knowledge contribute to safer, smarter AI applications.

Bounding Boxes Rare object detection in autonomous navigation

Challenge For autonomous vehicles to navigate safely, models must recognize standard road …

Improving User Experience Through Structured LLM Fine-Tuning

Challenge A leading enterprise faced significant obstacles with their large language models LLMs…

Agtech Model Training for Smarter, More Sustainable Farming

Challenge Our Agtech client relied on visible signs to spot plant diseases, due to…

Future of Autonomy Testing: Sensor Simulation, Mixed Reality, and Generative World

As autonomous systems mature, the industry is realizing that collecting real-world miles alone cannot deliver the depth, diversity AI….

Leveraging Digital Twins for ADAS Excellence with Insights on Data Management

This whitepaper examines the sophisticated techniques and implementation strategies behind AI, digital twins, and simulation in AD/ADAS development….

Production-Ready Multimodal AI Training Datasets for Perception Models

D3Scenes (D3S) 2D & 3D Annotations for Open-Source Driving Datasets

Read Our Latest Blogs

Deep dive into practical insights from our experts, research teams, and global delivery centers.

Why Choose DDD?

We power safer, smarter AI with high-quality, reliable data solutions

Strategic

Strategic

We are more than a data labeling service. We bring industry-tested SMEs, provide training data strategy, and understand the data security and training requirements needed to deliver better client outcomes.

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Reliable

Our global workforce delivers high-quality work 365 days a year across multiple countries and time zones, with 24/7 coverage to adapt quickly to changing project needs. We operate as long-term project partners and scale without compromising quality.

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Automation

We combine human expertise with automation to accelerate delivery and improve accuracy. Our automation shortens turnaround times, ensures scalability, and repeatable outcomes without compromising data quality.

Flexible

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.

What Our Clients Say

“DDD helped us scale our computer vision pipeline with incredible precision, and we loved knowing our data dollars made a real-world impact.”

— Head of AI, Global Retail Company

“Their blend of quality, ethics, and social responsibility sets a new benchmark for data partners.”

— AI Program Manager, Fortune 500 Tech Firm

"DDD's data annotators were crucial in improving efficiencies. Their expertise not only helped us build accurate models but also saved us a substantial amount of time."

— Market Leader, Precision Farming

"I'm very impressed with how fast DDD trained and scaled their team on this complex project. Their ability to understand our project requirements and respond to our changes made a huge difference."

— Product Manager, Leading Autonomous Driving Company

Our Impact

DDD pioneered the impact sourcing model of offering employment to people from underserved communities. This socially responsible approach provides these individuals with a path to economic self-sufficiency.
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AI Data Solutions for Training the World’s Most Trusted Models

Frequently Asked Questions

What does Digital Divide Data (DDD) do?
Digital Divide Data (DDD) provides AI training data solutions and digitization solutions for businesses, governments, and institutions. We combine human-in-the-loop (HITL) expertise with secure, scalable operations to deliver high-quality data for AI, ML, and digital innovation.
What types of data services does DDD offer?

We deliver end-to-end data lifecycle management, including:

  • Image, Video, and LiDAR Annotation
  • Text and Speech Labeling for LLMs
  • Data Curation, Validation & Structuring
  • Mapping, Localization & Digital Twin Validation
  • Digitization & Metadata Enrichment for Archives and Libraries

We ensure that our data annotation and labeling services meet strict accuracy, compliance, and scalability standards.

How does DDD ensure data quality and accuracy?
We use a human-in-the-loop (HITL) process with multi-layer quality assurance, combining human expertise with automation tools. Each annotation task passes through multiple review cycles, and we maintain up to 99.5% accuracy across all projects through standardized workflows and continuous training.
Is DDD compliant with international data security standards?
Yes. DDD is ISO 27001 and SOC 2 Type 2 certified, ensuring the highest levels of data security, privacy, and confidentiality. We are also GDPR and HIPAA compliant, and all our facilities operate with strict access controls, encryption protocols, and continuous monitoring for our machine learning data services.
Where are DDD’s delivery centers located?
Our global delivery centers are strategically located in Cambodia, Laos, Kenya, and Madagascar, with client engagement teams in North America, Europe, and Asia. This allows us to provide 24 × 7 × 365 operations and seamless, multilingual support for international clients.
Does DDD support Generative AI projects?
Absolutely. DDD provides dataset creation, reinforcement learning with human feedback (RLHF), synthetic data validation, and bias/fairness evaluation for Generative AI and LLMs. We help enterprises train and fine-tune domain-specific models that are accurate, safe, and aligned with ethical standards.
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