Data Creation Services
For A scalable AI pipeline
End-to-end Arabic data, safety checked by 40k+ experts
Why 
For Data Creation.
Retention rate
over 16 years
succeed to win
delivered
What We Deliver
Core Annotation Services
Text Annotation & Labeling
Named Entity Recognition (general + domain), text classification and taxonomy mapping, sentiment and stance, intent detection, keyword/phrase extraction, document span labeling, passage relevance,
summarization QA.
Core Annotation Services
Multilingual &
Cross‑Dialect Annotation
Arabic dialect coverage (MSA, Gulf, Levantine, Egyptian, Maghrebi), English, and other target languages; cultural localization; parallel corpus creation; code‑switching handling.
Core Annotation Services
Audio & Speech Annotation
Transcription (verbatim/clean), diarization, speaker ID, acoustic event labeling, emotion/tone tags, domain lexicon normalization, QA with WER/CER metrics.
Core Annotation Services
Image & Video Annotation
Bounding boxes, polygons, semantic segmentation, keypoints/landmarks, frame‑level action/event labels, tracking; geospatial overlays.
Advanced Fine‑Tuning Services
Instruction Tuning Dataset Creation
Prompt → ideal response pairs; task‑specific instructions (customer support, legal, finance, healthcare, public sector); multi‑turn dialogue authoring with context continuity.
Advanced Fine‑Tuning Services
Human Preference Data (RLHF/RLAIF)
Pairwise comparisons, Likert ratings, ranking across helpfulness, harmlessness, truthfulness, cultural appropriateness; structured qualitative feedback.
Advanced Fine‑Tuning Services
Human Preference Data (RLHF/RLAIF)
Pairwise comparisons, Likert ratings, ranking across helpfulness, harmlessness, truthfulness, cultural appropriateness; structured qualitative feedback.
Advanced Fine‑Tuning Services
Synthetic Data Generation
Rule‑based generators, model‑assisted augmentation, privacy‑preserving synthesis, scenario simulation for rare/long‑tail events.
Advanced Fine‑Tuning Services
Synthetic Data Generation
Rule‑based generators, model‑assisted augmentation, privacy‑preserving synthesis, scenario simulation for rare/long‑tail events.
Advanced Fine‑Tuning Services
Domain‑Specific Corpus Curation
Content sourcing (public/proprietary), cleansing & normalization, deduplication, decontamination, semantic clustering and topical coverage analysis.
Advanced Fine‑Tuning Services
Conversational AI Data
Intent/entity schemas, slot‑filling, persona‑based dialogues, escalation flows, knowledge‑grounded responses and retrieval checks.
Arabic-Specific Differentiators
Morphology & Diacritization:
Specialized tasks (tokenization alignment, root extraction, diacritics restoration/ verification).
Regional & Cultural Context:
Islamic content expertise, local business/legal conventions, sensitive‑content handling frameworks.
Code‑Switching
Realism:
Gulf/Levantine English intermix, Arabizi/romanized Arabic normalization.
UI/UX for
Right‑to‑Left:
Native RTL annotation interfaces and QA procedures.
Quality Assurance & Governance
Guideline authoring
Illustrated manuals with edge cases, decision trees, and do/don’t examples.
Training & calibration
Annotator onboarding, gold‑set calibration, periodic drift checks.
Guideline authoring
Majority vote/consensus, expert arbitration where IAA < threshold.
Feedback loops
Continuous error analysis; guideline updates; model‑in‑the‑loop improvements.
Security, Privacy & Compliance
- Data minimization, role‑based access, least privilege, audit trails.
- Encryption in transit and at rest; segregated VPCs for sensitive projects.
- Regional data residency options (MENA/EU) and client‑managed keys (on request).
- GDPR‑aligned processing; HIPAA‑like safeguards for PHI projects (upon request).
- Background‑checked staff; secure facilities; redaction pipelines for PII.
Delivery Models
Self‑Service (T‑Portal):
Spin up projects, configure schemas, invite reviewers, track KPIs, export via API.
Managed Programs:
Dedicated PM, scalable teams (dozens → thousands), weekly reporting, SLA commitments, risk logs.
Hybrid Human‑AI:
Pre‑annotation and active learning; automated quality checks; human arbitration for edge cases.
Typical Engagement Flow
Indicative Timelines: Pilot 2–4 weeks; Scale‑up ongoing in sprints.
Scoping & Success Criteria
Use cases, acceptance thresholds,
privacy constraints.
Production at Scale
Batches, QA gates, dashboards.
Schema & Guideline Design
Pilot annotation, gold sets, calibration.
Handover & Integration
Exports, lineage docs, evaluation report;
optional fine‑tune support.
Packages
Entry
Best for
- Pilots & POCs
What’s included
- Text annotation (NER, sentiment, intent), basic QA, weekly reports
Add‑ons
- T‑Portal access, small audio set
Standard
Best for
- Multi‑modal programs
What’s included
- Entry package + Audio/video, multilingual/dialects, advanced QA, guideline design, dashboards
Add‑ons
- Model‑in‑the‑loop pre‑annotation
Enterprise
Best for
- Regulated & high‑scale
What’s included
- Entry package + Standard package + RLHF/RLAIF, red teaming, corpus curation, dedicated team & SLAs, data residency
Add‑ons
- On‑prem/private VPC, client‑managed keys
Consulting
Best for
- Strategy & enablement
What’s included
- Data strategy, taxonomy/ontology, evaluator/rubric design, annotator training
Add‑ons
- On‑prem/private VPC, client‑managed keys
Example Outcomes
Healthcare Provider
Healthcare
Bank
(GCC)
Banking & Finance
Government Service Center
Government
Service
Center
Ecommerce
E-Commerce
Platforms & Integrations
Arabic.AI is designed to fit effortlessly into your existing legal workflows—no disruptions, no hassle
Documentation You Receive
Final labeled datasets + schema definitions
Guidelines + edge‑case compendium
QA reports (IAA, error analysis, metric summaries)
Provenance & lineage documentation
Safety evaluation + red teaming summary (if in scope)
Insights & Ideas
Blogs
“Arabic.AI” to Deliver FREE Arabic Vibe Coding Education Across the Middle East
Prepping for the Agentic Era: Part 9: Overcoming AI Agent Deployment Challenges
