The volume of public data has never been greater, and neither has the pressure on newsrooms to break stories accurately and fast. Dataminr for News is purpose-built to help journalists cut through the noise, uncover emerging events, and define the news cycle — before the competition.
Powered by over 50 proprietary LLMs, thousands of detection models, and 12+ years of historical data, Dataminr processes text, audio, image, video, and sensor data across 150+ languages in real time. Whether it's a hyperlocal incident or a major global event, journalists gain a 360-degree view of stories as they emerge — including in hard-to-reach digital corners and regions where newsrooms lack a physical presence.
Advanced agentic AI capabilities autonomously surface the critical context behind every event, freeing journalists to focus on deeper insights and high-value storytelling rather than manual monitoring. Features like Track Story, Tailored Alerting, and Multi-Modal Fusion AI keep newsrooms continuously updated throughout a story's full lifecycle, while seamless integrations with tools like Slack, Microsoft Teams, Wolftech, and AP Storytelling accelerate the path from discovery to publishing.
Trusted by 1,500+ newsrooms across 220+ countries and territories, Dataminr for News is how the world's leading media organizations stay first.
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