EdgeTrace transforms video feeds into actionable intelligence using AI-powered detection and search capabilities. Users can search video detections instantly using text, image, or audio inputs across various parameters like location and license plate. The platform facilitates immediate response actions via integrations with Slack, SMS, and email, supporting both on-premise and cloud deployments.
Funding
$500K 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.
SVFounders
Product
Problem
Businesses struggle to efficiently extract specific, actionable insights from large volumes of video data due to the lack of tools that can understand and categorize complex events within video content. Manually reviewing video footage is time-consuming, costly, and often ineffective for identifying nuanced patterns or specific scenarios.
Solution
EdgeTrace offers a video understanding platform that uses natural language processing (NLP) to identify and match user-defined event scenarios within video data. Users can input natural language queries to search for specific events, behaviors, or patterns across their video archives. The platform then analyzes the video content, identifies relevant instances, and presents them in an easily accessible format, enabling organizations to quickly extract valuable insights and improve decision-making.
Target Audience
EdgeTrace targets businesses and organizations that rely on video data for security, operations, or analysis, including retail, manufacturing, transportation, and law enforcement.
Features
- Natural language query interface for defining specific event scenarios.
- Real-time video analysis using NLP to identify and categorize events.
- Automated matching of event scenarios across large video datasets.
- User-friendly dashboard for accessing and reviewing identified events.
- Customizable event categories and tagging system.