Prism reveals the signals, narratives, momentum and pressure hidden within the information environment—before they become consequential.
Built for governments, media organisations and strategic communications teams operating in high-stakes information environments.
Important developments rarely begin as obvious events; they begin as small signals scattered across the information environment.
It moves beyond isolated mentions and individual stories to examine relationships, direction, momentum and pressure across the information environment.
Knowing a conversation is increasing is useful; understanding why, what it is becoming, who is shaping it, and where it may lead is more valuable.
By the time the pattern is obvious, it may already be consequential.
Whether you're protecting public trust, understanding a changing news environment or managing strategic communications, Prism helps make sense of what is happening beneath the surface.
Identify emerging narratives, information disorder, pressure points and developments that may require attention before they become difficult to manage.
Track emerging conversations, narrative momentum, source activity and changing public attention to understand where the information environment is moving.
Understand how organisations, policies and issues are being discussed — and identify changes in narrative direction, pressure and attention.
Prism transforms a constantly changing information environment into intelligence that can be explored, monitored and acted upon.
Detect meaningful changes in volume, sentiment, activity and information patterns before they become obvious.
Connect related information to identify the storylines and interpretations taking shape across the ecosystem.
Understand whether a narrative is accelerating, spreading, persisting or building increasing pressure around an issue.
Map the accounts and entities connected to a narrative on Twitter/X, and surface clustering or amplification patterns that may indicate coordinated rather than organic activity.
Currently scoped to Twitter/X data.
Prism natively analyses Hindi, English, Punjabi, Bengali, Gujarati, Marathi, Kannada, Tamil, Telugu, Malayalam, Tulu and Urdu — without machine translation at any stage. Odia and Assamese are model-ready and will be added as data collection extends to those regions.
Language diversity should not create fragmented intelligence. Prism brings information from different linguistic environments into a common analytical view.
Prism helps organisations understand emerging signals, evolving narratives, momentum and pressure across the information environment.
