Deep Sector Expertise

Data Designed for
Your Industry.

We deliver Arabic voice and linguistic datasets across high-impact sectors—optimized for accuracy, dialect coverage, and production readiness.

Industry Coverage

Each industry comes with unique data challenges. We tailor the collection, annotation, and QA pipeline to match your model goals.

01

Call Centers & Customer Support

The Challenge

Noisy environments, overlapping speech, mixed dialects, and domain-specific intent labeling.

Our Solution
Dialect-balanced voice collectionTranscription with timestampsIntent/entity annotationQuality sampling and validation
02

Healthcare & Medical AI

The Challenge

High accuracy expectations, sensitive data handling, specialized medical terminology and workflows.

Our Solution
Medical transcription & annotationTerminology consistencyStrict QA processStructured delivery + documentation
03

AI Assistants / Chatbots

The Challenge

Multi-intent conversations, code-switching, and dialect-specific phrasing that breaks NLU.

Our Solution
Text + voice datasetsIntent/entity labelingDialect localization supportHybrid workflow QA
04

Media & Content

The Challenge

Diverse accents, background music/noise, long-form content segmentation and labeling.

Our Solution
Transcription and diarizationAudio segmentationSpeaker labelingContent QA and formatting
05

EdTech

The Challenge

Clear speech vs real-world speech variation, grading pronunciation, and supporting multiple dialects for learners.

Our Solution
Dialect-specific voice datasetsPronunciation-related annotationCurriculum-aligned scriptsValidation workflow
06

Government & Security

The Challenge

Strict compliance, high stakes accuracy, and consistent labeling standards across large datasets.

Our Solution
Secure pipeline & controlled accessHigh-consistency annotationQA + audit-friendly reportingStructured exports

Sectoral Case Studies

Real-world impact of our data pipelines.

Voice Assistant Accuracy Boost

TechASR AccuracyDialects
Context

A technology company needed to improve its voice assistant accuracy on mixed Arabic dialects.

Outcome

Achieved a 15% increase in accuracy by delivering a custom, dialect-balanced dataset.

Massive Media Localization

MediaLocalizationSpeed
Context

A global streaming platform required localization for a massive content library under tight deadlines.

Outcome

Completed localization in record time using our hybrid AI+Human workflow without compromising quality.

Not seeing your industry?

Tell us your domain and target dialects—we’ll propose a workflow and dataset plan.