Built for Precision at Scale
At Afghan Language Services, native linguists trained in annotation start every dataset. We build consistent pipelines for glossaries, entity tagging, transcription, and quality assurance aligned to machine learning goals. The result is higher-quality data with less bias and strong dialect and domain fit for low-resource languages.
- Human-supervised workflows for low-resource language coverage
- Annotators trained in AI and NLP data standards
- Built-in linguistic quality assurance with dual review
- Project-specific glossaries and terminology alignment
- Secure and compliant delivery infrastructure
Our Evolution in AI Partnerships
08March2017
Scaled Native Linguist Network
Built and trained a dedicated team for Dari, Pashto, Uzbeki, and Turkmeni AI tasks.
14February2017
Entered Language Data Market
Launched multilingual annotation projects for training, testing, and evaluation.
23April2016
Secured Institutional AI Clients
Delivered glossary development and annotated datasets for supervised learning.
01May2015
Advanced Quality Review Systems
Introduced structured QA workflows with inter-annotator agreement tracking.







