Dataminr

AI real-time event detection platform that surfaces breaking risks and threats from public data before they hit the news.

Listed Needs re-verification

Market Intelligence $$$ Mid-market Enterprise Financial Services Technology

What it does

Dataminr is an AI-native real-time information and risk intelligence platform that continuously monitors public data sources - social media, news, blogs, online forums, and the broader open web - to detect breaking events, emerging risks, and threats before they appear in mainstream news. Its AI capabilities include natural language processing that understands context and significance across multiple languages, ML signal filtering that distinguishes genuine breaking events from noise, real-time alert delivery that notifies corporate security, crisis management, and risk teams within minutes of an event occurring, and pattern recognition that identifies early signals of physical security threats, regulatory changes, reputational risks, and market-moving events. Dataminr serves corporate security teams, newsrooms, financial institutions, NGOs, and government agencies.

Strengths

Corporate security and risk teams use Dataminr for real-time situational awareness - AI alerting when events relevant to their locations, people, and assets occur so security teams can respond proactively.
Large enterprises, financial institutions, and newsrooms use Dataminr for enterprise risk intelligence - AI monitoring global events in real time to support crisis response, market analysis, and corporate security operations.
Dataminr is an AI-native real-time information and risk intelligence platform that continuously monitors public data sources - social media, news, blogs, online forums, and the broader open web - to detect breaking events, emerging risks, and threats before they appear in mainstream news.

Watch-outs

Signal-to-noise ratio requires tuning: Dataminr's AI monitors enormous volumes of public data — alert relevance depends heavily on how well organizations configure their query terms, locations, and filters. Poorly configured deployments generate alert fatigue.
Very expensive for the capability delivered: Dataminr is priced for institutional buyers — corporate security and financial firms with large budgets. Mid-market organizations often find the cost hard to justify relative to simpler media monitoring tools.
Public data only — no proprietary intelligence: Dataminr surfaces signals from publicly available data sources — it does not provide intelligence derived from private networks, government feeds, or classified sources that some security use cases require.

Pricing

Dataminr pricing not published. Enterprise contracts start at hundreds of thousands annually. Financial services and corporate security tiers negotiated. Annual contracts.