Reported close to the event
District radio and regional papers report what happened in a town, often the same day, with the names and places that international coverage leaves out.
Social impact
See the crisis the way local reporters see it
An outbreak, a school fire or a market closure often reaches the local press days before it appears in a situation report. We read 2,200+ local, national and international sources every day across 48 countries and turn that reporting into Signals your analysts can filter, export and cite.
Built for: UN agencies and country teams, international NGOs, humanitarian analysts and donors.
Why it matters
Why local reporting matters for response
Coded the way you already work
Signals are tagged to GLIDE disaster types and IASC humanitarian categories, so they fit the frameworks your team already reports against.
Every figure has a source
Each Signal links to the articles it came from, with outlet and language. Anyone reading your brief can check where a number came from.
Town and village detail
Signals are located to the town or village when the article gives enough detail, so you can follow one province, one corridor or the area around a camp.
Use cases
What humanitarian teams use it for
Daily monitoring
Each morning’s new Signals, in one view.
Analysts start the day with new Signals for their countries, grouped by theme and place instead of a stack of news alerts. Flag what matters, skip the rest.
Risk identification
Follow risks as they build over weeks.
Track reports of price rises, disease, displacement and local disputes over several weeks to see how a situation is developing.
Access planning
Know what is happening on the road.
Roadblocks, attacks on aid workers, floods and road closures show up in local reporting. Teams use them when preparing movement plans and field briefings.
Briefs and reports
Write the update with the sources attached.
Export the Signals behind a situation update, or ask an AI assistant connected through MCP to draft from them. The source links let you check every figure before it goes out.
From the data
A real Signal from our data
At least 27 students die in a fire that destroys two schools and hundreds of homes in Bukavu
- Cimpunda, Bukavu, South Kivu, DR Congo
- 10–11 Sep 2026
- 21 sources
- 8 languages
A fire swept through two primary schools and the homes around them in a crowded Bukavu neighbourhood.
Why it matters here
Twenty-one outlets reported the fire in eight languages within two days. Living Signals grouped them into one Signal for the neighbourhood and kept each outlet’s account and casualty figure side by side.
Demo data covers one month in DR Congo, Cameroon and Mali.
How it fits
Use it the way your team already works
Analyst dashboard
Search, map and filter Signals for your countries, updated overnight.
Exports
Signals and claims as files, with a link to every source article.
REST API
The same data through a documented API, for your own models and tools.
MCP connector
Ask Claude and other AI assistants questions about the data.
Pilots and partners
Organisations working with us
(opens in a new tab)Risk monitoring
Analysts follow emerging risks day by day, including through the MCP connector.
Sample brief
Want a sample brief?
We will put together a short brief from our data on one country you cover.
Talk to sales
See your countries in the data
We can show you recent Signals for the countries and themes your team covers.