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Video surveillance as a service

The startup offers an AI and edge computing platform that enables real-time video analytics for urban mobility, traffic analysis, and road safety by connecting existing camera infrastructure. This solution enhances operational efficiency and reduces data center costs through distributed computing, allowing for scalable management of multiple video streams across various environments.

Viña del Mar, Chile · HQ
Founded 20222100+ followers
Updated 5 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Many cities lack efficient and scalable solutions for real-time video analytics using existing camera infrastructure, hindering their ability to improve urban mobility, traffic flow, and road safety. Centralized data processing can be costly and create bottlenecks, limiting the number of video streams that can be analyzed effectively.

Solution

This startup provides an AI-powered edge computing platform that enables real-time video analytics for urban environments by leveraging existing camera infrastructure. The platform uses distributed computing to process video streams at the edge, reducing the need for expensive data center resources and enabling scalable management of multiple video feeds. By connecting urban, commercial, and residential cameras, the solution enhances operational efficiency and provides actionable insights for traffic analysis, road safety, and urban mobility.

Target Audience

The primary target audience includes city governments, transportation authorities, and public safety organizations seeking to improve urban mobility, traffic management, and road safety through real-time video analytics.

Features

  • Compatibility with 99% of existing camera infrastructures (e.g., Hikvision, Dahua, Bosch)
  • Edge AI computing to minimize centralized data center costs
  • Centralized video streaming and AI-assisted operator tools
  • Real-time event management and traceability
  • Vendor-agnostic platform compatible with cloud providers like AWS, Microsoft Azure, and Google Cloud
  • Tools for building custom AI applications
  • AI algorithms compatible with multiple hardware architectures
  • Remote management of applications on edge devices
  • Data API for developers
This profile is AI-generated and may contain inaccuracies.