Low-Resource Languages to Empower Your AI Models
Smarter, Safer, and Scalable ML Model Development for the Real World
High-Quality Data for Low-Resource Languages
DDD is a NYC-based non-profit with a social mission to lift economically and socially marginalized youth out of poverty in Asia and Africa. Using impact- based outsourcing, DDD creates sustainable, living wage jobs by providing training data and low-resource language solutions for GenAI and LLM applications.
Our Use Cases for Low-Resource Languages
Languages that We Support
Fully Managed Workflow for Low-Resource Languages
From one-time datasets to always-on pipelines, DDD manages the complete data lifecycle
Align business goals, language coverage, data modalities, volumes, and quality benchmarks.
Define linguistic scenarios, prompts, demographics, environments, and sampling strategies.
Recruit native speakers and train them to meet linguistic, cultural, and quality standards.
Collect text, speech, and multimodal data via web, mobile, on-site, or integrated systems with real-time visibility.
Multi-layer validation, normalization, annotation, and metadata enrichment.
Multi-layer validation, normalization, annotation, and metadata enrichment. Deliver in model-ready formats and continuously refine datasets through feedback
Why Choose DDD?
Robust, multi-stage quality assurance, benchmarking, and continuous improvement are built into every workflow.
Dedicated teams stay with your project long-term, building deep domain knowledge and enabling seamless scaling.
We integrate seamlessly with your existing tools, platforms, and ML pipelines, with no forced technology changes.
Carefully recruited, trained, and retained native speakers are embedded within the cultural and linguistic contexts of each language.
What Our Clients Say
Turning Low-Resource Languages into High-Quality AI Data
Frequently Asked Questions
Low-resource languages are languages that lack sufficient digital text, speech data, linguistic annotations, and NLP tooling required to train modern AI models effectively. Many languages across Africa and Southeast Asia fall into this category.
We provide text, speech, audio, image, and multimodal datasets, including data collection, transcription, translation, annotation, enrichment, and validation, delivered in ML-ready formats.
We use multi-stage quality assurance workflows, native speaker reviews, benchmarking, and continuous feedback loops to ensure accuracy, linguistic integrity, and consistency at scale.