We provide global data services delivering secure, scalable, and high-quality data pipelines for enterprises building AI systems and data-driven operations.
Digital Divide Data (DDD) is a leading AI data services provider delivering enterprise-grade data solutions across complex, regulated, and high-volume environments. With a proven human-in-the-loop data services model, we help organizations transform raw information into structured, reliable, and AI-ready data.
Preserving and digitizing multilingual historical texts, manuscripts, and audio archives for global access.
Supplying high-quality multilingual training, evaluation, and alignment data, especially for low-resource languages.
We combine advanced automation with trained domain specialists to deliver data with accuracy, context, and real-world reliability.
From small pilots to large-scale deployments, our global teams scale seamlessly to match your data volume and velocity needs.
Our teams bring deep domain expertise across cultural heritage, AI, publishing, financial services, and healthcare.
Data protection is embedded across our infrastructure, workflows, facilities, and workforce from day one.
In this blog, we will explore how a structured, data-driven approach, combining high-quality digitization, enriched metadata, and intelligent indexing, can transform archives into dynamic, searchable digital assets.
OCR and ML technologies have become increasingly popular in the last few years, enabling organizations to automate repetitive and time-consuming manual tasks. In this article, we’ll explore the benefits of…
Today’s OCR is an application of computer vision that enables machines to find and extract text embedded in images.
Digital Divide Data provides end-to-end enterprise data services, including data pipelines and data as a service, large-scale digitization, multilingual language services, and high-volume transaction processing.
Every project follows a multi-layer quality assurance framework that combines automated checks with human-in-the-loop review to ensure accuracy, consistency, and contextual correctness.
