Ambient.ai offers an AI‑driven platform that continuously analyzes video and sensor streams to detect security threats such as firearms, fence breaches, and tailgating in real time. By integrating with existing IP cameras and access‑control systems, it unifies data into a single dashboard, reduces false alarms by up to 95%, and accelerates investigations with automated forensics and actionable analytics.
Funding
$146.1M raised to dateRaised 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.
AVFounders
Product
Problem
Physical security teams rely on fragmented camera feeds, access control alerts, and manual monitoring, leading to high false alarm rates, delayed threat response, and inefficient investigations across large, distributed facilities.
Solution
Ambient.ai provides an AI-driven platform that continuously analyzes video and sensor streams to detect a wide range of security threats—including firearms, fence breaches, tailgating, and sudden egress—in real time. The system integrates with existing IP cameras and access control hardware, unifying data into a single interface that offers 24/7 automated monitoring and instant alerts. Built on a reasoning vision‑language model, the platform reduces false alarms by up to 95%, accelerates video forensics by 20×, and supplies actionable insights such as hotspot mapping and blind‑spot identification. By automating alarm validation and workflow orchestration, Ambient.ai enables security teams to focus on genuine incidents and improve overall operational efficiency.
Target Audience
Primary customers are enterprise security operations teams in sectors such as corporate campuses, data centers, manufacturing plants, energy & utilities, healthcare facilities, financial services, museums, and educational institutions that need to enhance monitoring, reduce false alarms, and accelerate incident response.
Features
- Seamless retrofit of existing IP camera and access control infrastructure without hardware replacement
- Real‑time detection of hundreds of threat categories (e.g., firearms, fence jumping, tailgating, sudden egress) using a reasoning vision‑language model
- Automatic validation and suppression of false access‑control alarms, achieving up to 95% reduction in alarm volume
- Scalable architecture for rapid deployment across multiple sites and dynamic threat environments
- Centralized dashboard that consolidates video, sensor data, and AI insights for unified situational awareness
- Advanced forensics tools that accelerate video search and investigation times by up to 20×
- Actionable analytics on security metrics such as tailgating hotspots, blind‑spot coverage, and access violations