AXN Pulse · Global news analytics AI

Pulse ingests news, broadcast and open-source signals from more than 180,000 sources in 94 languages. Large language models extract entities, events and sentiment so analysts see emerging risks hours before they trend.

180K+
Sources monitored
94
Languages understood
4.2s
Source to insight
Interactive preview
Live event stream
simulated feed
  • 14:05:12GLOBALENSecurity-0.80
    Coordinated phishing campaign targets logistics operators
  • 14:04:12AMERESMarkets-0.28
    Currency volatility increases ahead of central bank decision
  • 14:03:12AUENPolicy+0.12
    New critical minerals framework enters consultation phase
  • 14:02:12AMERESMarkets-0.38
    Currency volatility increases ahead of central bank decision
  • 14:01:12BDBNTech+0.66
    Digital payments adoption accelerates across South Asia
  • 14:00:12APACENEnergy+0.37
    LNG export volumes rise as regional demand strengthens
Global sentiment index
-0.006
ARTICLES · 24H
1,284,221
Trending narratives
Energy
30
Security
67
Markets
44
Climate
81
Supply chain
58
Tech
35
Policy
72
Disinfo
49
Capabilities

Everything you need, nothing you don't.

01

Multilingual ingestion

Native-language understanding across print, web, broadcast transcripts and social channels.

02

Event detection

Clusters millions of articles into evolving storylines and flags new events within seconds.

03

Sentiment & narrative

Tracks tone, framing and narrative shifts for any entity, market or region.

04

Disinformation signals

Identifies coordinated amplification, synthetic media and source credibility risks.

05

Entity knowledge graph

Links people, organisations, places and assets into a continuously updated graph.

06

Analyst copilot

Ask questions in plain English and get cited briefings generated from verified sources.

Use cases

Proven where it matters most.

  • Geopolitical risk01
  • Supply chain monitoring02
  • Market intelligence03
  • Crisis response04
Get started

Our forward-deployed engineers can stand up a working pilot on your data in weeks, not quarters.