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§ Private Profile · 6 E 32nd St, New York, NY 10016, US
Real-time AI platform detecting risks and events from public data signals, providing early warnings to organizations.
Dataminr has raised $871.0M across 7 funding rounds.
Key people at Dataminr.
Dataminr has raised $871.0M in total across 7 funding rounds.
Based in New York City, Dataminr develops a real-time artificial intelligence platform that detects risks, events, and critical information from various public data signals. The enterprise software processes trillions of signals across more than 200,000 public sources to deliver early warnings to organizations globally. Operating on a subscription-based software-as-a-service model, the company serves corporate, news, and public sector clients across over 100 countries, including the United Nations, the Red Cross, and the New York City Fire Department. The business has reached a $1.6 billion valuation and secured significant venture capital, including a $475 million growth capital round and a recent $165 million financing led by Fortress. The organization currently employs approximately 500 people to support its global operations and thousands of enterprise customers. Dataminr was founded in 2009 by Ted Bailey, Jeff Kinsey, and Peter Bailey.
Dataminr has raised $871.0M across 7 funding rounds. Most recently, it raised $100.0M Other Equity in May 2025.
Dataminr has raised $871.0M in total across 7 funding rounds.
Dataminr's investors include Eric Spector, Prasant Chunduru, Dave DeWalt, ArrowMark Partners, Eden Global Partners, IVP, Lurra Capital, Morgan Stanley, MSD Capital, Reid Hoffman, Valor Equity Partners, Fidelity Management & Research Company.
Key people at Dataminr.
Dataminr builds an AI platform that discovers real-time events, threats, and risks from over 1 million public data sources, including text in 150 languages, images, video, sound, and sensor data, delivering the earliest warnings to enable faster decision-making and crisis response.[2][3][4] It serves thousands of users across multinational organizations—more than two-thirds of the Fortune 50 and half of the Fortune 100 companies—plus public sector agencies, NGOs, newsrooms, nonprofits, financial services, healthcare, energy, media, first responders, and universities, solving the problem of delayed awareness in high-impact situations like natural disasters, cyber threats, and geopolitical events.[1][2][3][7] Valued at $4.1B, Dataminr shows strong growth momentum through products like Dataminr Pulse for security teams, First Alert for public sector and nonprofits (with free/discounted access), and a partner network, while committing to social impact via AI for Good initiatives in humanitarian aid and STEM education.[2][3][5]
Dataminr emerged from over a decade of building high-quality labeled datasets from crowd-generated social media data, pioneering hybrid AI for anomaly detection in public sources.[6] Founders Ted Bailey, Jeff Kinsey, and Sam Hendel—drawing from expertise in data science and real-time technologies—launched the company around 2009-2010 to transform publicly available data into actionable intelligence, starting with newsrooms and expanding amid rising demand for crisis management tools.[2][6] Pivotal early traction included advance warnings during Hurricane Harvey for port closures, aiding supply chain security, and a 2019 UN partnership for humanitarian response, which accelerated adoption across sectors.[6]
Dataminr rides the explosive growth of AI-driven real-time intelligence amid escalating global risks—cyber threats, climate disasters, supply chain disruptions, and geopolitical instability—where organizations need sub-second visibility from public data to outpace traditional monitoring.[2][3] Timing aligns perfectly with AI advancements in multi-modal processing and LLMs, positioning Dataminr as a leader in a fast-growing market for predictive risk mitigation, distinct from general AI by focusing on public-source event discovery.[3][4][6] It influences the ecosystem by powering over 650 newsrooms, enabling UN humanitarian responses, and fostering partnerships that integrate its alerts into enterprise systems, while its nonprofit programs democratize AI for social good, amplifying collective intelligence in crises.[2][5][6]
Dataminr is poised to dominate as AI evolves toward hyper-real-time, multi-modal threat detection, expanding its partner network and AI for Good initiatives to capture more public-private collaborations amid rising global volatility.[3][5] Trends like edge AI, advanced sensor fusion, and regulatory demands for resilient operations will fuel growth, potentially pushing valuation beyond $4.1B through deeper enterprise penetration and nonprofit scaling.[2][3] Its influence may evolve into an indispensable infrastructure layer for risk-aware decision-making worldwide, turning public data chaos into a strategic edge that keeps organizations—and societies—a step ahead of unfolding events.
