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Dataminr

Dataminr offers an AI‑powered real‑time intelligence platform that continuously ingests and analyzes over a million global public data sources—including social media, news, deep/dark web, and sensor feeds—in more than 150 languages. By fusing text, images, video, audio, and sensor data, the platform surfaces early signals of physical, digital, and cyber threats and delivers concise, context‑rich alerts that can be integrated via APIs, SIEM/SOAR connectors, or direct channels, enabling government, public‑safety, and enterprise teams to prioritize and automate risk‑focused actions.

Traction 10/10
New York, United States · HQ
Founded 200984050K+ followers
  • Artificial Intelligence
  • Cybersecurity
  • Enterprise Software
  • Government Technology
Updated 2 days ago

Funding

Raised to date

$100MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

+12
Funding rounds are not available yet.

Founders

1 founder

Rob Singewald

CEO

Product

Problem

Organizations across government, enterprise, and public safety sectors lack timely visibility into emerging physical, digital, and cyber threats because relevant information is scattered across millions of public data sources, including the deep and dark web, social media, news, and sensor feeds. This fragmentation leads to delayed detection, noisy alerts, and missed opportunities to prevent incidents before they impact people, assets, or operations.

Solution

Dataminr provides an AI-powered real-time intelligence platform that continuously ingests and analyzes over 1 million global public data sources in more than 150 languages. Its Multi‑Modal Fusion AI cross‑correlates text, images, video, audio, and sensor data—processing over 43 TB of information daily—to surface the earliest signals of breaking events, emerging threats, and hidden risks. The platform delivers concise, context‑rich alerts through Intel Agents that automatically enrich each signal with relevant details, reducing noise and eliminating manual triage. Users receive these alerts via preferred channels and can integrate the intelligence into existing security, incident‑response, and operational workflows through APIs and SIEM/SOAR connectors, enabling rapid, risk‑prioritized action across cyber defense, emergency management, force protection, law enforcement, and digital risk management.

Target Audience

Primary customers include government agencies, intelligence and diplomatic services, military and force protection units, law‑enforcement and emergency‑management organizations, as well as enterprise security, risk, and compliance teams in Fortune‑scale corporations.

Features

  • Multi‑Modal Fusion AI that processes text, image, audio, video, and sensor data from 1 M+ public sources in real time
  • Coverage of 150+ languages and deep/dark web monitoring for comprehensive global visibility
  • Intel Agents that autonomously enrich alerts with context on actors, tactics, techniques, and impacts
  • Noise‑reduction and precision tuning to deliver high‑relevance alerts and minimize false positives
  • Real‑time API and SIEM/SOAR integrations for automated incident response and workflow automation
  • Role‑based alerting and customizable filters for geography, topic, and event type
  • Cloud‑hosted analytics platform powered by 50+ proprietary LLMs and multi‑modal foundation models
This profile is AI-generated and may contain inaccuracies.