Graymatics offers a cloud‑based cognitive multimedia analytics platform that converts CCTV video streams into granular, actionable data. Clients can select from over 100 built‑in analytics and view insights on detailed dashboards, enabling applications in security, retail, advertising, and IoT. The solution runs on cloud, edge, or data‑center environments and continuously learns online to maintain high‑accuracy performance at scale.
Funding
Funding not disclosed
QFounders
Product
Problem
Organizations with extensive CCTV deployments often lack tools to automatically extract actionable insights from video streams, resulting in underutilized footage and reliance on manual monitoring. This limits the ability to detect security incidents, optimize operations, and derive business intelligence in real time.
Solution
Graymatics offers a cloud‑based cognitive multimedia analytics platform that processes CCTV video and image feeds into structured data. The system provides over 100 selectable analytics—ranging from object detection and vehicle classification to crowd density and safety compliance—and delivers results through detailed, customizable dashboards. It can be deployed on public cloud, edge devices, or on‑premises data centers, allowing integration with existing infrastructure. Continuous online learning improves model accuracy over time, ensuring the platform remains effective as environments evolve. Clients can enable multiple analytics simultaneously on each camera, scaling insights across large surveillance networks.
Target Audience
Primary customers are security and surveillance teams, smart city operators, retail and e‑commerce managers, and telecom or IoT service providers seeking automated video intelligence from existing camera infrastructure.
Features
- Library of 100+ AI‑driven video analytics, including security, retail, advertising, telecom, and IoT use cases
- Flexible deployment options: cloud, edge, or data‑center installations
- Real‑time dashboards with granular metrics and visualizations for immediate decision‑making
- Continuous online model training that adapts to new scenes and improves detection accuracy
- Ability to run multiple analytics concurrently on a single CCTV feed
- Scalable architecture designed for massive CCTV networks at low cost