Edgybees provides an AI-powered software solution that enhances the positional accuracy of full-motion video and satellite imagery to within 1-3 meters in real time. This technology addresses the issue of misalignment in aerial and satellite data, enabling timely and informed decision-making for commercial and government operators.
Funding
$22.3M 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.
Founders
Product
Problem
Full-motion video (FMV) and satellite imagery often suffer from positional inaccuracies, with misalignments ranging from 10 to 100 meters. Correcting these inaccuracies is time-consuming and costly, hindering timely and informed decision-making for commercial and government operators.
Solution
Edgybees offers an AI-powered, software-only solution that enhances the positional accuracy of FMV and satellite imagery in real time. The technology automatically aligns imagery with the real world, achieving precision down to 1-3 meters. By providing a reliable source of truth for geographical positioning across video, images, and reference maps, Edgybees enables enhanced human and machine-based analysis for change detection and situational awareness. The software integrates into existing technology stacks and operational workflows, empowering analysts to make better-informed decisions and improving the reliability of machine learning algorithms.
Target Audience
The primary target audience includes commercial and government operators and analysts who rely on accurate geospatial data for timely decision-making in sectors such as defense, intelligence, infrastructure, and disaster response.
Features
- AI-powered georegistration of full-motion video and satellite imagery
- Real-time positional accuracy enhancement down to 1-3 meters
- Automated, software-only solution for fast and affordable deployment
- Compatibility with various imagery sources and formats
- Seamless integration into existing technology stacks and operational workflows
- Enhanced accuracy for machine learning algorithms and change detection
- Visual context overlay of roads, buildings, and other location data