See the narrative
before it becomes a crisis.
ReactFirst turns real-time social-media noise into verified intelligence — so high-stakes teams catch coordinated narratives hours before they reach the headlines.
Platform
Intelligence across every platform
Detect
Continuous ingestion across 8+ platforms surfaces narratives the moment they start to move — not after the press call.
Verify
Behavioral scoring separates organic momentum from coordinated, synthetic amplification before you react.
Brief
Every investigation resolves into a verified intelligence brief: key voices, spread, and recommended next steps.
By the numbers
Intelligence at the speed of the conversation
Platforms monitored in real time, from one unified signal stream.
Signals scored every minute for authenticity and momentum.
From first weak signal to a verified, executive-ready brief.
Accuracy separating organic momentum from coordinated amplification.
How it works
From raw signal to verified brief
Ingest
Continuous, normalized collection across X, Reddit, YouTube, and more — one unified signal stream, no scraping on your end.
Score
Every signal is scored for authenticity and momentum in real time, using behavioral patterns rather than keyword counts.
Cluster
Coordinated account networks are mapped and flagged before a narrative reaches mainstream traction.
Brief
The pipeline resolves into an executive-ready brief — key voices, spread, and recommended response.
Use cases
Built for teams that can't afford to be wrong
Communications & PR
Brief executives on what's real before the story sets — and respond in minutes, not hours, when a narrative breaks.
Security & Trust / Safety
Detect coordinated inauthentic behavior and synthetic amplification before it crosses into mainstream media.
Research & Policy
Cross-platform signal with authenticity metadata, structured for methods sections, peer review, and policy reports.
Catch the next one early.
See how ReactFirst surfaces a coordinated narrative — and turns it into a verified brief — in a 20-minute walkthrough.