Prism helps newsrooms understand how stories develop, where attention is moving, which narratives are emerging and what is happening beneath the visible conversation.
Newsrooms operate in an information environment that is faster, more fragmented and increasingly multilingual. A story may begin small, develop across sources, acquire a new interpretation, attract new actors and become significant before its trajectory is obvious from any single headline.
Important developments rarely arrive as one complete story. They emerge through scattered mentions, reports, reactions and conversations.
The meaning of a story can change as new sources, interpretations and actors enter the conversation.
Some conversations remain small. Others suddenly gain momentum, spread across sources and become impossible to ignore.
Monitoring more sources creates more visibility — but without context, it can make it harder to see what actually matters.
The opportunity isn't simply finding more stories. It's understanding which stories are becoming something bigger.
Prism connects individual signals into a broader view of how stories and narratives are developing across the information environment.
Identify meaningful changes in volume, sentiment, activity and information patterns before they become obvious from the broader news cycle.
Connect related information and understand how interpretations and storylines evolve over time.
Understand whether attention around an issue is accelerating, spreading or persisting across the information environment.
Understand where stories originate, which sources amplify them and which actors are shaping the conversation.
Traditional monitoring tells you what has been published. Prism adds context around how information is connecting, changing and gaining momentum.
Capture information across the information environment.
Identify relationships between seemingly separate signals.
See narrative direction, momentum and source activity.
Focus newsroom attention where the information environment warrants it.
Prism currently supports analysis across all major Indian languages, powered by multilingual AI models capable of handling 50+ languages.
Language diversity should not create fragmented intelligence. Prism brings information from different linguistic environments into a common analytical view.
What conversations are beginning to gain momentum?
Which seemingly separate stories are connected?
How is the narrative around an issue changing?
Which sources and actors are shaping the conversation?
Is attention accelerating, spreading or persisting?
See how Prism can help your newsroom identify emerging signals, understand narrative momentum and investigate the stories that matter.
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