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Dataminr

Dataminr

AI for real-time event and risk detection

PrivateLate StageData PlatformAmericas
Founded2009
Headquarters🇺🇸 New York
Employees501-1,000
Total Raised$1.2B
Last FundedSep 2025

About

Dataminr detects high-impact events and emerging risks in real-time using 50+ proprietary LLMs analyzing 1M+ public data sources. Valued at $4.1B with $1.5B+ raised; hit $222M revenue in 2024. Serves two-thirds of the Fortune 50, 100+ US government agencies, and partners with NATO for global threat detection. Their ReGenAI delivers continuously updating situational briefs with 99.5% accuracy as events unfold.

Key Facts

  1. [1]Founded: Founded in 2009 in New York, United States.
  2. [2]Funding: Total funding: $1.2B. Last round: Sep 2025. Stage: Late Stage.
  3. [3]Customers: Key customers include CNN, NATO.
  4. [4]Employees: Employee count: 501-1,000.
  5. [5]Website: Official website: dataminr.com.
  6. [6]AI Technology: Core AI/ML technologies: Data Platform.
  7. [7]Region: Region: Americas (United States).

Founders

T

Ted Bailey

Founder & CEO

J

Jeff Kinsey

Co-founder

Key Customers & Partners

CNNNATO

AI Technology

Data Platform

Data aggregation and enrichment platforms with minimal ML

Classification

Details

Last FundingSep 2025
Funding RoundGrowth
Age17 years
Country🇺🇸 United States

Frequently Asked Questions

What is Dataminr?

Dataminr detects high-impact events and emerging risks in real-time using 50+ proprietary LLMs analyzing 1M+ public data sources. Valued at $4.1B with $1.5B+ raised; hit $222M revenue in 2024. Serves two-thirds of the Fortune 50, 100+ US government agencies, and partners with NATO for global threat detection. Their ReGenAI delivers continuously updating situational briefs with 99.5% accuracy as events unfold. Dataminr is classified in the Research & Data segment at the Data layer of the financial AI stack.

Who founded Dataminr?

Dataminr was founded by Ted Bailey (Founder & CEO) and Jeff Kinsey (Co-founder) in 2009 in New York, United States. The company has been operating for 17 years.

How much funding has Dataminr raised?

Dataminr has raised $1.2B in total funding, placing the company at the Late Stage stage. The most recent round closed in Sep 2025. Among 58 funded Research & Data companies, Dataminr ranks #6 by total capital raised. (Source: AIFI Map directory.)

What AI technology does Dataminr use?

Dataminr primarily leverages Data Platform technology. Data aggregation and enrichment platforms with minimal ML. Within the Research & Data segment, 29 companies use this technology.

What market segment does Dataminr operate in?

Dataminr operates in the Research & Data and Trading & Markets and Risk & Compliance market segments. AI research and data companies provide the intelligence layer of the financial ecosystem — processing vast quantities of structured and unstructured data into actionable insights for investors, analysts, and financial institutions. The company also has a footprint in trading & markets and risk & compliance, reflecting its cross-functional approach to financial AI.

Where is Dataminr headquartered?

Dataminr is headquartered in New York, United States. The company operates in the Americas region. The team consists of 501-1,000 employees. United States is home to 324 financial AI companies tracked by AIFI Map.

Who are Dataminr's competitors?

Companies similar to Dataminr in the Research & Data space include Ocrolus ($142M raised), Tegus ($112M raised), AlphaSense ($1.6B raised), Sentieo (Now AlphaSense) ($69M raised), Uplinq ($18M raised). These companies operate in related areas of financial AI: Ocrolus focuses on ai document automation for lending decisions. Tegus focuses on ai-generated investment research summaries. AlphaSense focuses on ai-powered market and search intelligence. (Based on AIFI Map classification data.)

What products does Dataminr offer?

Dataminr builds data-layer solutions for the financial services industry. The company's core offering: AI for real-time event and risk detection. The platform is powered by Data Platform technology. Notable users include CNN, NATO.