In this blog, we will explore how data annotation works...
Read MorePowering Enterprise & Foundation Models with Trusted Human-Centered AI Data
Build, fine-tune, and evaluate high-performing AI models with secure, scalable, and globally diverse data solutions.
Where Human Intelligence Meets AI at Scale
DDD is a global AI data solutions partner helping organizations build reliable, responsible, and high-impact AI systems. We combine expert human insight, secure operations, and scalable workflows to deliver training, evaluation, and optimization data across the full AI model lifecycle.
Model Types We Support
Enterprise Models
AI models built for internal business use cases, such as search,
copilots, analytics, automation, and decision intelligence, require data training,
high security, domain specificity, and explainability.
How DDD Helps Enterprise Models:
- Curates proprietary, domain-specific training data
- Builds RAG pipelines grounded in enterprise knowledge
- Supports private fine-tuning and evaluation workflows
- Ensures compliance, data privacy, and secure handling
- Delivers human-in-the-loop validation for production readiness
Foundation Models
Large-scale models trained on diverse, multi-domain datasets to
power general-purpose AI capabilities across industries.
How DDD Helps Foundation Models:
- Large-scale prompt, response, and preference datasets
- Multilingual and low-resource language coverage
- RLHF and DPO pipelines for alignment and safety
- Model evaluation at scale for bias, robustness, and quality
- Trusted global workforce enabling continuous iteration
Our Gen AI Solutions
Why Choose DDD?
Human-in-the-Loop Quality Control
Multi-layer quality controls, expert review, and continuous feedback loops ensure every dataset meets defined accuracy, safety, and performance thresholds.
Model- and Platform-Agnostic
We integrate seamlessly with your existing tools, platforms, and pipelines, no forced technology, no vendor lock-in.
Global Impact
Our diverse, multilingual teams enable the development of culturally aware, regionally relevant, and globally scalable AI systems.
Long-Term Partnership
Dedicated, long-term teams stay with your project, building deep domain knowledge and ensuring consistent output as your models and requirements evolve.
What Our Clients Say
DDD’s Commitment to Security & Compliance
Your sensitive data is protected at every stage through rigorous global standards and secure operational infrastructure.
SOC 2 Type II
Verified controls for security, confidentiality, and system reliability
ISO 27001
Comprehensive information security management with continuous audits
GDPR & HIPAA Compliance
Responsible handling of personal and healthcare data
TISAX Alignment
Automotive-grade protection for mobility and vehicle-AI workflows
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.
Talk to an expert →
AI Driven Engineering Solutions
Empowering enterprises with scalable AI and ML deployment strategies.
Explore solutions →
Optimizing Model Performance Through LLM Fine-Tuning Expertise
See how DDD accelerates Autonomous Driving innovation through data-driven success stories.
Talk to an expert →
AI Driven Engineering Solutions
Empowering enterprises with scalable AI and ML deployment strategies.
Explore solutions →
Blog
Deep dive into the latest technologies and methodologies that are shaping the future of Gen AI.
Video Annotation for Generative AI: Challenges, Use Cases, and Recommendations
This blog examines video annotation for Generative AI and outlines...
Read More
Major Challenges in Large-Scale Data Annotation for AI Systems
This blog explores the major challenges that organizations face when...
Read MoreSecure, Scalable Data for the Next Generation of AI Models
Frequently Asked Questions
What types of AI models does Digital Divide Data support?
DDD supports both Enterprise Models and Foundation Models, covering the full AI lifecycle, from data collection and prompt generation to fine-tuning, evaluation, alignment, and deployment support.
Can DDD work with proprietary and sensitive enterprise data?
Yes. DDD is built for secure enterprise AI workflows, supporting proprietary, confidential, and regulated datasets with strict access controls, controlled facilities, and compliance with SOC 2 Type II, ISO 27001, GDPR, HIPAA, and TISAX standards.
Does DDD support Retrieval-Augmented Generation (RAG) workflows?
Absolutely. We support end-to-end RAG pipelines, including document ingestion, data structuring, chunking, metadata enrichment, grounding datasets, and evaluation to reduce hallucinations and improve factual accuracy.
How does DDD help improve model alignment and safety?
DDD provides human preference optimization through DPO and RLHF workflows, as well as trust & safety datasets focused on bias, toxicity, misinformation, and adversarial behavior, ensuring models behave responsibly in real-world scenarios.
What data modalities does DDD support?
DDD supports multimodal AI development, including text, image, video, audio, sensor, and combined multimodal datasets, enabling training and evaluation across a wide range of AI applications.
Can DDD scale data operations for large foundation models?
Yes. Our globally distributed workforce enables large-scale data generation, evaluation, and preference collection while maintaining quality, consistency, and security across regions and time zones.
Does DDD support low-resource and multilingual AI development?
Yes. We specialize in low-resource languages, regional dialects, and culturally nuanced data, helping organizations build inclusive, globally relevant AI systems.
How does DDD ensure data quality and consistency over time?
We assign dedicated, long-term project teams that build deep domain expertise, apply multi-layer quality controls, and continuously improve guidelines, ensuring consistency as projects scale.