Arabic-first data annotation for audio, NLP, computer vision, and medical AI
We specialize in high-quality Arabic and Egyptian Arabic data labeling, Egyptian street computer vision, and clinically-informed medical data annotation. A cost-effective, expert solution for ML teams who need precision without compromise.
Our Services
Specialized data annotation and evaluation across four core domains
Audio & Speech
Arabic and Egyptian Arabic audio annotation for call centers, voice commands, conversational AI, transcription, diarization support, and speech quality evaluation. Native understanding of dialects and acoustic environments.
Arabic & Egyptian NLP
Sentiment analysis, intent classification, named entity recognition, toxicity and safety labeling, search relevance evaluation, summarization quality assessment, and content moderation for Arabic and Egyptian dialectal text.
Computer Vision for Streets & Retail
Object detection, tracking, and activity recognition specialized for Egyptian street scenes: traffic, vehicles, license plates, pedestrians, shop fronts, CCTV footage, POS cameras, and smart-city applications grounded in real MENA environments.
Medical & Healthcare Data
Annotation and review of medical text (reports, discharge summaries, clinical notes), clinical conversations, and medical images (radiology, dermatology) with oversight from practicing doctors who design guidelines and validate complex cases.
Data Collection (Premium)
We can source and collect custom datasets including audio recordings, text corpora, images, video, and medical data where regulations allow. This service is more costly and carefully scoped on a case-by-case basis. to discuss feasibility and requirements.
Why wasm
What sets us apart in the data annotation landscape
Native Arabic & Egyptian Arabic Understanding
Deep comprehension of dialects, slang, cultural context, and linguistic nuances that automated tools miss.
Egyptian Street & Environment Expertise
On-the-ground familiarity with local traffic patterns, street layouts, signage, and real-world conditions for computer vision projects.
Clinically Informed Workflows
Healthcare projects benefit from practicing doctors who help design annotation guidelines, review edge cases, and perform medical quality assurance.
Quality-Focused Processes
Rigorous workflows with detailed guidelines, calibration tasks, multi-annotator agreement checks, and dedicated QA passes.
Cost-Effective Without Compromise
Nearshore/offshore pricing compared to US and EU teams, while maintaining high-quality standards and direct communication.
Small, Senior Core Team
Work directly with experienced engineers and annotators who understand ML requirements, plus a scalable network of trusted specialists and medical experts.
Expertise & Track Record
Contributing to frontier AI development through large-scale data programs
Our annotators have worked through large third-party data platforms on programs that helped train or improve models like Gemini, ChatGPT, Llama, Grok, Luxoft solutions, and other frontier AI systems. These contributions were indirect and part of multi-vendor efforts, not direct partnerships. We've labeled and evaluated thousands of hours of audio, millions of text samples, and extensive image datasets across Arabic, English, and specialized medical domains.
Note: The programs mentioned above were accessed via third-party annotation platforms as part of large, multi-vendor data initiatives. We do not claim official partnerships with these companies.
Our Team
Work directly with experienced professionals who design and oversee your annotation workflows
Islam Ahmed
AI Engineer & Data Annotator
2+ years of experience in computer vision and NLP annotation. Specializes in designing annotation workflows, quality control processes, and technical integration with ML pipelines.
Saif Ashraf
Senior Data Annotator
3+ years focused on Arabic and Egyptian Arabic audio and text annotation. Expert in dialect recognition, conversational AI data, and linguistic quality assurance for NLP projects.
Medical Advisory Team
Practicing Doctors
A group of practicing physicians who support medical and healthcare data projects by designing task guidelines, reviewing complex clinical cases, and validating annotation quality for sensitive healthcare applications.
Our Process
A structured approach to high-quality data annotation
Share Your Data & Requirements
Tell us about your dataset, annotation needs, quality targets, and timeline. We'll review and provide a scoping assessment.
Design Guidelines & Pilot Tasks
We create detailed annotation guidelines tailored to your project. For medical work, our doctors contribute domain expertise. We run pilot tasks to calibrate quality.
Annotation & Multi-Layer QA
Our annotators label your data following strict guidelines. Multiple QA layers, including inter-annotator agreement checks and expert review, ensure consistency and accuracy.
Delivery with Clear Metrics
Receive your annotated data with quality metrics, disagreement reports, and feedback. We iterate based on your model performance and evolving requirements.
Let's talk about your dataset
Reach out for a short scoping call to discuss how we can support your ML data needs