NEW YORK—Dataminr, a developer of AI technologies, just announced a milestone for ReGenAI, a new form of Generative AI that automatically updates and regenerates live information briefs as an event unfolds.
Since its launch in April 2024 the company states, ReGenAI’s live event briefs have expanded 10-fold, now covering global, national, regional, and hyperlocal physical security events across the globe.
This significant expansion, Dataminr boasts, enhances ReGenAI’s value to corporate security teams, offering broader event coverage and faster situational understanding with instantly actionable, automated event briefs. Security teams can do more with less, slashing their event analysis and summary time from over 30 minutes on average to under 90 seconds. Early adopters reported up to a 15 percent weekly productivity gain in their daily job routine, saving hours of monitoring and analysis during ongoing events. Dataminr asserts that its ReGenAI provides first-of-its kind live information briefs for hyperlocal incidents, as well as national and global events, ensuring immediate actionability for corporate security teams and their specific risk footprint.
“Dataminr has given us a huge leap forward in terms of having a common picture of relevant events around the world,” says Matthew Fraley, crisis and incident management lead, Carhartt. “ReGenAI helps our crisis management team collaborate and share information in a format that is easy to understand and provide briefs on.”
ReGenAI Provides Users with an Advanced Solution for Impactful Events
The company explains that with the accelerating frequency of global business-impacting events has created a critical need for security teams to act 24 hours per day/7 days per week/365 days per year. Expanding geopolitical unrest, natural disasters, and hyperlocal security incidents can be catastrophic to a corporate enterprise if they are not adequately prepared to react in realtime. The company suggests the need for its AI platform is more apparent than ever for security teams to safeguard their assets and make critical business decisions in an increasingly realtime world.
“At a time when most Generative AI applications still offer only theoretical future value, Dataminr’s ReGenAI is immediately valuable today and represents Generative AI that is practical, vital, and seamlessly integrated into the everyday workflow of our clients,” comments Ted Bailey, CEO and founder, Dataminr. “ReGenAI’s expansion to hyperlocal events is transforming corporate security, helping teams far more effectively prepare for and respond to incidents that affect their people, operations, and assets.”
Dataminr Says ReGenAI Harnesses Its AI Platform
According to Dataminr, ReGenAI harnesses its AI Platform that integrates more than one million multi-modal public data sources, spanning text, image, video, audio and machine-generated sensor data. Unlike most Gen AI applications that rely on external Gen AI providers, Dataminr stresses that its ReGenAI is powered by proprietary purpose-built large language models (LLMs). Dataminr’s LLMs are run internally and trained on Dataminr’s unique 12-plus year data and event archive, enabling unmatched effectiveness and accuracy. Upcoming ReGenAI releases will further enrich and contextualize real-time events, risks and threats, and automatically personalize live information briefs for individual clients based on their specific risk footprint.
Along with ReGenAI, the company adds that its Pulse for Corporate Security provides End-to-End integrated capabilities for seamless event detection and risk management. Security leaders can synchronize employee and travel data for immediate threat awareness; execute mass notifications within 60 seconds via SMS, email, or voice during incidents; and manage critical events with advanced collaboration and analytics.
Moreover Dataminr emphasizes, solutions also integrate with leading security and crisis management tools, such as Esri, Microsoft Teams, and Slack, and can be customized via the Pulse API to meet specific organizational needs.
