Challenges in Building Multilingual Datasets for Generative AI
Umang Dayal 14 Nov, 2025 When we talk about the progress of generative AI, the conversation often circles back to the same foundation: data. Large language models, image generators, and…
AI Powered Data Services for Publishers
Digital Divide Data helps publishers modernize content operations and scale faster with secure, human-in-the-loop data services.
Where Human Expertise Meets AI-Driven Publishing Workflows
Digital Divide Data is a global enterprise data services company delivering high-quality, secure, and scalable data solutions for organizations managing complex content and information ecosystems. From digitization to AI-ready data pipelines, we transform legacy content into intelligent assets.
Publishing-Focused Expertise
Decades of experience supporting libraries, museums, and archival institutions across diverse cultural and historical collections.
Human-in-the-Loop Quality
Expert human reviewers validate and refine data where automation alone can’t meet publishing-grade accuracy.
AI-Ready from Day One
Content is structured, enriched, and validated to power search, analytics, and GenAI-driven publishing workflows.
Secure by Design
Security, compliance, and data protection are embedded into every workflow from ingestion to delivery.
Our Services for Publishers
What Our Clients Say
DDD’s Commitment to Security & Compliance
DDD operates under rigorous global standards and secure infrastructure to ensure confidentiality, integrity, and availability.
SOC 2 Type 2
Verified controls across security, confidentiality, and system reliability
ISO 27001
Comprehensive information security management with continuous audits
GDPR & HIPAA Compliance
Responsible handling of personal and regulated data
TISAX Alignment
Enterprise-grade protection for complex data workflows
Read Our Latest Blogs
Explore expert perspectives on digital preservation of cultural heritage and best practices in archival digitization.
How Optical Character Recognition (OCR) Digitization Enables Accessibility…
Umang Dayal 13 Nov, 2025 Over the past decade, governments, universities, and cultural organizations have been racing to digitize their holdings. Scanners hum in climate-controlled rooms, and terabytes of images…
Multi-Layered Data Annotation Pipelines for Complex AI Tasks
In this blog, we will explore how these multi-layered data annotation systems work, why they matter for complex AI tasks, and what it takes to design them effectively.
Turning Publishing Content into Intelligent, AI-Ready Data
Frequently Asked Questions
What types of publishers does Digital Divide Data work with?
We work with academic, educational, legal, scientific, and commercial publishers, supporting both legacy content modernization and digital-first publishing initiatives.
How does DDD support large-scale content digitization projects?
DDD delivers large-scale data digitization using standardized workflows, quality controls, and secure infrastructure to process millions of pages accurately and efficiently.
What is “human-in-the-loop” and why does it matter for publishers?
Human-in-the-loop data services combine automation with expert human review to ensure publishing-grade accuracy, consistency, and contextual understanding.
How does DDD handle metadata, XML tagging, and content structuring?
We apply industry-aligned schemas, XML workflows, and metadata enrichment to improve discoverability, interoperability, and downstream reuse.
How secure is my publishing data with DDD?
Data security is embedded into every workflow. We operate under SOC 2 Type 2 and ISO 27001 standards with strict access controls and encryption.
Is DDD compliant with global data protection regulations?
Yes. We adhere to GDPR and HIPAA requirements where applicable and follow enterprise-grade compliance practices for sensitive data handling.