Data Creation Services
For A scalable AI pipeline

End-to-end Arabic data, safety checked by 40k+ experts

Why Logo For Data Creation.

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What We Deliver

Arabic.ai

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.

Arabic.ai

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.

Arabic.ai

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.

Arabic.ai

Core Annotation Services

Image & Video Annotation

Bounding boxes, polygons, semantic segmentation, keypoints/landmarks, frame‑level action/event labels, tracking; geospatial overlays.

Arabic.ai

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.

Arabic.ai

Advanced Fine‑Tuning Services

Human Preference Data (RLHF/RLAIF)

Pairwise comparisons, Likert ratings, ranking across helpfulness, harmlessness, truthfulness, cultural appropriateness; structured qualitative feedback.

Arabic.ai

Advanced Fine‑Tuning Services

Red Teaming & Safety Evaluation

Adversarial prompt sets, jailbreak testing, bias & fairness probes, hallucination assessment, PII leakage checks, safety policy calibration.

Arabic.ai

Advanced Fine‑Tuning Services

Synthetic Data Generation

Rule‑based generators, model‑assisted augmentation, privacy‑preserving synthesis, scenario simulation for rare/long‑tail events.

Arabic.ai

Advanced Fine‑Tuning Services

Synthetic Data Generation

Rule‑based generators, model‑assisted augmentation, privacy‑preserving synthesis, scenario simulation for rare/long‑tail events.

Arabic.ai

Advanced Fine‑Tuning Services

Domain‑Specific Corpus Curation

Content sourcing (public/proprietary), cleansing & normalization, deduplication, decontamination, semantic clustering and topical coverage analysis.

Arabic.ai

Advanced Fine‑Tuning Services

Conversational AI Data

Intent/entity schemas, slot‑filling, persona‑based dialogues, escalation flows, knowledge‑grounded responses and retrieval checks.

What We Deliver

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.

Arabic.ai

Security, Privacy & Compliance

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

What’s included

Add‑ons

Standard

Best for

What’s included

Add‑ons

Enterprise

Best for

What’s included

Add‑ons

Consulting

Best for

What’s included

Add‑ons

Example Outcomes

Healthcare
Provider

Healthcare Icon Healthcare

Patient intake assistant: Collects symptoms and schedules appointments.
Generate medical visit summaries in Arabic.
Translate prescriptions and treatment plans for patients.

Bank
(GCC)

Healthcare Icon Banking & Finance

AI agent that explains loan options, eligibility, and interest rates in Arabic.
Auto-fill KYC forms by extracting details from ID documents using OCR.
Alert customers about suspicious transactions or missed payments.

Government
Service Center

Healthcare Icon Government
Service
Center

Draft or refine public announcements and citizen communication in Arabic.
Virtual assistant that answers questions on permit applications, subsidies, and taxes.
Summarize and tag incoming policy memos or ministerial reports.

Ecommerce

Healthcare Icon E-Commerce

Chat agent that recommends products based on customer behavior.
Handle returns, refunds, and shipping queries in Arabic.
Auto-generate product descriptions in Arabic from supplier catalogs.

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

Prepping for the Agentic Era Part 5 Training and Fine-Tuning AI Agents

Prepping for the Agentic Era: Part 5: Training and Fine-Tuning AI Agents

If architecture defines an agent’s potential and integration makes that ...
Prepping for the Agentic Era Part 4 Integrating AI Agents into Enterprise Systems

Prepping for the Agentic Era: Part 4: Integrating AI Agents into Enterprise Systems

When organizations first capture the promise of AI agents, the ...
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