Most customer intelligence is built on records of what already happened. High-velocity signal is different. It captures behaviour as it unfolds.
Intent processes the behavioural exhaust generated by networks, payments, web and app activity, and other high-volume systems — the signals created as people live, move, spend, and decide. This data was not designed for analysis. That is exactly why it is so valuable. It is less filtered, more immediate, and often more revealing than anything stored in CRM.
The challenge is not just scale. It is the combination of scale, speed, and sensitivity. Intent's pipeline handles more than 250 billion events a day, ingests over 25 terabytes every 24 hours, and makes the signal available for intelligence in under 120 seconds.
This matters because intent lives inside these patterns. A shift in roaming behaviour, data usage, transaction activity, or engagement can reveal churn risk, financial stress, life events, or purchase readiness well before a customer declares any of it.
The platform also detects affinity for local and regional brands, not just global ones. For telecoms and other regional operators, that creates a sharper view of the brands and behaviours that actually matter in-market.
With pre-built connectors into S3, FTP, APIs, and CRM systems, this signal becomes usable without forcing clients to rebuild their infrastructure.