Dataminr
Dataminr detects breaking events and emerging risks from public data in real-time.
Dataminr is an AI platform that analyzes over 1 million public data sources—including text in 150 languages, images, video, and sensor data—to detect breaking events, emerging risks, and threats in real-time. It processes nearly 500,000 daily events and alerts users to critical information across physical, digital, and cyber domains before mainstream media or traditional sources. The platform serves enterprise, government, and media organizations seeking early warning signals of high-impact incidents. Dataminr differentiates through multimodal AI fusion, global scope covering 100+ countries, and speed of detection that has repeatedly beaten traditional news by hours.
Problem solved
Organizations lack real-time visibility into breaking events and emerging threats across billions of public data signals, missing critical intelligence that could inform rapid business decisions.
Target customer
Fortune 50/100 companies, 100+ U.S. government agencies, 20+ international governments, global news organizations, financial institutions, and crisis management teams in 100+ countries.
Founders
T
Ted Bailey
Founder & CEO
Yale graduate (2004) inspired by 9/11 to build real-time intelligence technology; recognized as World Economic Forum Tech Pioneer and Business Insider's 40 under 40 Tech Entrepreneur.
J
Jeffrey Kinsey
Co-Founder & CTO
Yale computer science graduate who designed core AI platform components; previously operated technical consulting practice building analytics tools for research institutions and enterprises.
S
Sam Hendel
Co-Founder
Yale University graduate and founding member of Dataminr.
Funding history
Seed
$1.98M
October 2009
Led by Unknown
· Unknown
Series F
$475M
March 2021
Led by Eldridge
· Valor Equity Partners, MSD Capital, Reinvent Capital, ArrowMark Partners, IVP, Eden Global, Morgan Stanley Tactical Value
Convertible Financing & Credit
$85M
March 19, 2025
Led by NightDragon, HSBC
· Unknown
Series F
$100M
April 24, 2025
Led by Unknown
· Unknown
Convertible Debt
$300M
September 2025
Led by Fortress, NightDragon
· Unknown
Total raised:
$1.53B
Pricing
Per-user/seat model starting at approximately $10,000/month for 1 user, with optional add-ons for Live Briefs and Company-Specific Alerting. Enterprise custom pricing available; specific details not publicly disclosed.
Notable customers
Daily Mail (650 journalists), Deutsche Welle, UN, Fortune 50 companies (two-thirds), Fortune 100 companies (half), 100+ U.S. government agencies, 20+ international governments, 650+ newsrooms globally serving 30,000+ journalists
Tech stack
LazySizes (JavaScript libraries)
jQuery (JavaScript libraries)
core-js (JavaScript libraries)
Qualified (Live chat)
Webpack
Babel
PWA
Open Graph
HTTP/3
DocuSign
WordPress (Blogs)
HockeyStack (Analytics)
Google Analytics (Analytics)
Atlassian Statuspage (PaaS)
HSTS (Security)
WP Rocket (Caching)
NitroPack (Caching)
PHP (Programming languages)
Apple iCloud Mail (Webmail)
Google Workspace (Email)
jsDelivr (CDN)
Cloudflare (CDN)
HubSpot (Marketing automation)
MySQL (Analytics)
Google Tag Manager (Tag managers)
Yoast SEO (SEO)
Amazon Web Services (PaaS)
WP Engine (PaaS)
OneTrust (Cookie compliance)
Optimizely (A/B testing)
New Relic (RUM)
Priority Hints (Performance)
Website
Competitors
Seerist
Specialized event intelligence platform with narrower focus compared to Dataminr's multimodal approach across 1M+ data sources.
Factal
News aggregation and event detection platform lacking the depth of multimodal AI fusion and government/defense market penetration.
Samdesk
Event intelligence platform with smaller data source coverage and less established presence in Fortune 50 and government sectors.
Brandwatch
Primarily focused on social media monitoring and brand intelligence rather than comprehensive multimodal threat and risk detection.
Why this matters: Dataminr has achieved rare scale in AI-powered intelligence, serving 100+ U.S. government agencies and two-thirds of Fortune 50 while approaching $200M ARR. The company's repeated ability to detect breaking events 30 minutes to 1.5 hours before mainstream media demonstrates genuine product-market fit for mission-critical decision-making.
Best for: Large enterprises, government agencies, and news organizations that need to detect critical events and emerging risks faster than competitors and traditional news sources.
Use cases
Breaking News Detection for Media
Over 650 newsrooms use Dataminr to break stories faster than competitors. Deutsche Welle journalists alert readers to developing situations hours before mainstream coverage, providing competitive advantage in news cycle. Platform analyzes billions of public signals in 150 languages to surface critical information first.
Crisis Response for Global Financial Institutions
A global bank received alerts about explosions in Uganda 30 minutes before news outlets, enabling rapid employee evacuation. Dataminr's real-time monitoring across 100+ countries allows finance teams to manage operational risk, business continuity, and employee safety proactively rather than reactively.
Threat Intelligence for Government & Defense
100+ U.S. government agencies and 20+ international governments use Dataminr to detect emerging security threats, geopolitical risks, and cyber incidents from public data. The platform's multimodal fusion enables early warning across physical, digital, and cyber domains before formal intelligence channels confirm threats.
Humanitarian Coordination
The UN uses Dataminr's First Alert in 100+ countries to identify emerging humanitarian crises, natural disasters, and conflict situations. Early detection enables faster coordination of resources and emergency response across multiple agencies.
Alternatives
Seerist
Choose Seerist for smaller-scale event intelligence needs; choose Dataminr for global multimodal analysis at Fortune 50 scale.
Factal
Factal is better for news-focused event detection; Dataminr covers broader cyber, physical, and digital threat domains for governments.
Brandwatch
Brandwatch excels at social listening and brand reputation; Dataminr focuses on early-warning threat and risk detection across all data types.
FAQ
What does Dataminr do? +
Dataminr is an AI platform that analyzes over 1 million public data sources—including text, images, video, sound, and sensor data in 150 languages—to detect breaking events, emerging threats, and risks in real-time. It processes approximately 500,000 daily events and delivers alerts to users across physical, digital, and cyber domains before traditional news sources or standard intelligence channels confirm information. The platform serves governments, Fortune 50/100 companies, news organizations, and financial institutions in 100+ countries.
How much does Dataminr cost? +
Dataminr uses a per-user/seat pricing model starting at approximately $10,000/month for a single user. The platform offers optional add-ons including Live Briefs and Company-Specific Alerting. Enterprise customers receive custom pricing based on their specific requirements. The company does not publicly disclose detailed pricing; prospective customers must contact sales for a customized quote.
What are alternatives to Dataminr? +
Key alternatives include Seerist (event intelligence platform), Factal (news and event detection), Samdesk (event intelligence), Brandwatch (social listening and brand monitoring), and Radarr (risk intelligence). Each has different strengths—Seerist and Factal focus on events, Brandwatch on social and brand monitoring, while Dataminr uniquely emphasizes multimodal AI fusion across 1M+ data sources for government and Fortune 50 scale.
Who uses Dataminr? +
Dataminr is used by two-thirds of the Fortune 50, half of the Fortune 100, 100+ U.S. government agencies, 20+ international governments, the United Nations, over 650 newsrooms globally (serving 30,000+ journalists), and major media organizations including Daily Mail and Deutsche Welle. The platform also serves global financial institutions, crisis management teams, and defense organizations in 100+ countries.
How does Dataminr compare to Seerist? +
Both are event detection platforms, but Dataminr operates at significantly larger scale with 1M+ data sources versus narrower coverage. Dataminr's multimodal AI fusion processes text, images, video, sound, and sensor data across 150 languages, while Seerist focuses more narrowly on specific event types. Dataminr's customer base is predominantly Fortune 50/100 and governments; Seerist serves smaller organizations with different threat intelligence needs.
Tags
real-time intelligence
threat detection
risk management
event detection
multimodal AI
crisis response
government intelligence