Dataminr's AI platform detects the earliest signals of high-impact events and emerging risks from publicly available data sources, enabling more effective risk mitigation strategies, faster response, and stronger crisis management. Dataminr’s AI platform detects the earliest signals of high-impact events and emerging risks, in real time, from publicly available information. Our alerts enable clien
ts to know critical information first, mobilize for quick response, and manage crises effectively. We serve thousands of users working in more than 100 countries for hundreds of client organizations--spanning global corporations, public sector agencies, NGOs, and newsrooms. In a world where an unexpected event can occur anywhere at any moment, radically affecting people and operations, public and private sector organizations need an early and clear line of sight into developing situations, with additional context, to enhance decision-making as an incident unfolds. This is especially true as the landscape of public data sources expands and diversifies, spanning social media, information sensors, blogs, and the deep web. For example, on 9:11AM EST on December 30, 2019, we provided our clients with the earliest warning of COVID-19 observed in Wuhan, China. Since then, our platform has continued to provide early alerts on related events. In alignment with our belief that AI and real-time data should be a force for good, we forged a partnership with the United Nations in 2019, at the AI for Good Summit in Geneva. The partnership equips thousands of UN personnel with Dataminr’s First Alert. The initiative boosts the UN’s utilization of cutting-edge technology and provides their agencies and personnel with the earliest possible indications of emerging crises, accelerating humanitarian response efforts around the world. Since its founding in 2009, Dataminr has brought to market products that our clients find essential to make better-informed decisions, and effectively respond with speed and confidence to risks and opportunities.