An integrated AI system
Six technologies working together behind the scenes — from the moment a message arrives until the story is drafted.
Built around the journalist — not instead of them
The AI prepares, filters and suggests; the editorial judgement stays fully human.
Smart triage
Every message is classified instantly: news, reply, or chatter — reactions excluded automatically.
Confidence per report
A numeric score + the gap list + corroborating reports — never an automated "confirmed".
Location extraction
Governorate, district and street extracted from the report text by AI.
Video transcription
Transcribes the audio and analyzes the frames to understand and classify it.
Headline drafting
An official headline, a social headline and a summary — ready to edit in one click.
In-app AI assistant
Chat with it — it searches every message, surfaces trends, summarizes and suggests.
From noise to signal
Every message flows through a connected pipeline of AI agents — only what matters reaches the journalist.
Every message classified in seconds
Story replies and reactions are marked "not important" automatically — without consuming any AI resources.
AI built on real data
Nour wasn't built in an isolated lab — it was built on real data from a working newsroom.
One platform for the whole editorial team
Opens an AI-sorted inbox instead of a sea of messages — urgent reports arrive with instant alerts.
Receives each report with its confidence score, gaps and corroboration — starting halfway there.
Tracks analytics, source performance and the coverage map — and tunes the agents with clear switches.
Articles about Nour
The full story: why we're building it, how its technology works, who its agents are, and where it's going.
Why newsrooms need Nour
Manual sifting and its cost to the scoop.
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From message to story
A message's journey through the AI pipeline.
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The three AI agents
Roles, limits and design philosophy.
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Technology & roadmap
The tech, the platforms, and what's next.
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Does the AI decide a story is "confirmed"?
No — by design. Nour gives a confidence score, the missing details and the number of corroborating reports; the final editorial decision always belongs to the journalist. Our framing is "attribution & confidence", not "automated verification".
What happens to reactions and story replies?
They're marked "not important" automatically and instantly — even with long text or media — because they're engagement with the page's content, not reports. This saves journalists' time and AI running costs together.
Does it understand video and audio?
Yes. A video's audio is transcribed automatically and its frames analyzed, so the journalist gets a classified report with a summary and transcript — without opening the video.
Which platforms are supported?
Facebook Messenger, Instagram and WhatsApp via Meta's official APIs. Media is archived locally to survive the platforms' expiring URLs.
What powers Nour's AI?
Advanced AI as one unified engine for every capability: triage, classification, location extraction, headline & summary drafting, and image/video analysis — all of it working in Arabic.
Ready to reach the real story faster?
Enter the platform and try the AI capabilities yourself — triage, attribution and intake, running on your real data.
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