Unlock the hidden value of your archives
in Arabic and English.

Qantra’s Media RAG Suite delivers semantic search (AR/EN), translation & summarization, an editorial assistant, and content analytics, purpose-built for MENA newsrooms.
Security
Privacy
SLA
AR/EN Support
Private hosting
Security
Privacy
SLA
AR/EN Support
Private hosting

The Problem We Solve

Inefficient search
Scattered archives, weak Arabic keyword matching
Production pressure
Need fast, reliable summaries & translations
Underused back catalog
Missed audience & monetization opportunities
Blind planning
Limited analytics on topics, trends, sentiment

What You Get

Recherche sémantique intelligente - Qantra SmartSearch

Smart Search (AR/EN)

Semantic retrieval across text, PDFs, archived pages.
Résumé et traduction automatique IA - Qantra Media RAG

Summarize & Translate

Consumption forecasting, resource optimization.
Assistant éditorial IA - Qantra Media RAG Suite

Editorial Assistant

Context-aware helper for angles, outlines, internal checks
Analytics et tableaux de bord IA - Qantra

Analytics

Topics, sentiment, frequency, editorial lines, authors, periods
Sécurité des données - hébergement souverain Qantra

Security & Control

Logs, roles/permissions, quality monitoring
Intégration API et systèmes - Qantra solutions tech

Integrations

CMS via API, SSO, private cloud/on-prem, CSV/JSON export

Business Outcomes

Who It’s For

Éditeurs de presse - solution RAG MENA Qantra
National publishers

Collaboration en ligne - équipe tech Qantra
Online-only media

Démonstration live IA - Qantra AI Lab
TV/Radio
groups with digital newsrooms
Organisation et structure équipe Qantra
Public organizations
with editorial archives

How It Works

From sample data to a working AR/EN RAG chatbot + API.

Icône service Qantra

Express diagnosis (1h)

Define 2–3 use cases; select a representative AR/EN archive sample.
Illustration équipe Qantra - expertise IA et développement

Sprint 1 — Foundations (Weeks 1–2)

Stand up the RAG stack; ingest content; release a first internal Q&A interface.
Illustration expertise Qantra - développement sur mesure

Sprint 2 — Accuracy & UX (Weeks 3–4)

Improve retrieval (chunking, prompts, citations); harden edge cases; deploy a standalone demo.
Illustration croissance Qantra - partenaire tech

Sprint 3 — Integration-ready (Weeks 5–6)

Deliver a documented API; finalize tech docs; run editor/IT handover & training; live demo + KPI review.
You finish with: A functional RAG chatbot, a documented API ready for your site/CMS, and technical documentation plus a team demo.

Social Proof

Trusted by leading publishers in MENA

Case Study — Mugtama (Kuwait)

Preserving a half-century of content with AI

Challenge
Unstructured plain-text archives; no semantic search; slow discovery.

Solution
Arabic-optimized RAG + AR/EN semantic search; delivered in 3 sprints (6 weeks) with a web demo, API-ready integration, and training

Results
  • Instant access to decades of content
  • AI assistant with source citation
  • Scalable architecture
  • >50% faster research for internal teams
  • FAQ

    1Where are our data hosted?
    Private cloud, on-prem, or dedicated VPC. Restricted access, encryption, full logging.
    2Do you truly support Arabic (morphology, derivation, entities)?
    Yes—bilingual by design (AR/EN) optimized for Modern Standard Arabic.
    3Can you integrate our CMS and user rights?
    Yes—APIs, SSO, roles & permissions; tailored connectors for your stack.
    4How fast to first value?
    A meaningful PoC in 2–4 weeks on a subset of your archives, with defined KPIs.
    5What’s the licensing model?
    Per-instance + users, with support/hosting options. Quote after the initial diagnosis.

    Entrust Your Project to Trusted Experts

    Ready to bring your newsroom into the RAG era?

    48-hour response. AR/EN demo available. Private hosting on request.