Augur
Augur is a perception engine that transforms existing CCTV infrastructure into proactive monitoring systems using AI-powered real-time threat detection, anomaly analysis, and retrospective review. The platform serves stadiums, critical national infrastructure, mining, transport, and retail sectors with a privacy-first architecture that anonymizes data by default and requires no facial recognition.
- Artificial Intelligence
- Cybersecurity
- Data & Analytics
- Software Only
Funding
Raised to date
$15MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 1 round
$15M · Seed
Announced Mar 2026 · from article date
Disclosed cumulative: $15M
Founders
Founder details are not available yet.
Product
Problem
Traditional CCTV systems are often passive recording tools, leaving security teams to manually review footage after incidents have occurred. This reactive approach delays threat detection, generates high rates of false alarms, and fails to extract actionable insights from existing camera infrastructure, limiting operational awareness and response capability.
Solution
Augur is a next-generation perception engine that maximizes operational capability by leveraging existing camera infrastructure. The platform combines AI-powered real-time threat detection, anomaly analysis, and retrospective analysis in a single system, transforming passive CCTV networks into proactive monitoring tools. From stadium settings to critical national infrastructure, Augur helps teams identify flare tracking, crowd surges, perimeter breaches, loitering, and safety events as they happen or through post-event review. The solution is designed with a privacy-first architecture, featuring anonymization by default, eliminating the need for facial recognition and ensuring GDPR-compliant video analytics across all deployments.
Target Audience
Security teams and operations managers at stadiums, critical national infrastructure sites, mining and energy facilities, transport networks, and retail malls seeking to upgrade passive camera systems into active perception platforms.
Features
- AI-powered real-time threat detection and anomaly analysis across multiple verticals including perimeter monitoring, crowd management, and safety event detection
- Industry-specific analytics for stadiums (flare tracking, crowd surges, queue analytics), mining and energy (real-time threat detection, operations monitoring), transport (aggression alerts, loitering detection), and retail (dwell time heatmaps, behavioral analytics)
- Privacy-first architecture with anonymization by default and no facial recognition requirement
- GDPR-compliant video analytics pipeline designed for compliance from the ground up
- Retrospective analysis capabilities with AI assistance to identify incidents and trends from past footage
- Anomaly analysis that detects unusual patterns and behaviors beyond predefined threat rules
- Existing camera infrastructure compatibility, eliminating the need for new hardware investments