Klarety provides an AI intelligence platform that synthesizes geospatial signals and open-source data into decision-ready intelligence. The platform utilizes agentic workflows and enterprise-grade infrastructure to execute complex geospatial and intelligence analyses through natural language commands. This enables users to automate monitoring, perform rapid analysis on flood risk, agricultural health, and carbon emissions, and receive intelligent alerts at global scale.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations struggle to efficiently analyze and interpret vast amounts of geospatial data from satellite imagery and other sources, leading to delays in decision-making and inefficient resource allocation. Siloed data and the complexity of traditional geospatial analysis tools further exacerbate these challenges.
Solution
Klarety provides a platform that integrates satellite imagery with automated machine learning (ML) algorithms to deliver real-time geospatial analysis and reporting. The platform simplifies the process of extracting insights from complex geospatial data, enabling users to make data-driven decisions with speed and accuracy. By integrating diverse data sources, including open-source data and proprietary inputs, Klarety offers a comprehensive view for informed decision-making. The platform's user-friendly interface democratizes access to advanced satellite analytics, making it accessible to users at all levels.
Target Audience
Klarety targets organizations that require geospatial data analysis for informed decision-making, including businesses, government agencies, and research institutions.
Features
- AI-powered workflow for rapid analysis of geospatial datasets
- Integration of satellite imagery with automated machine learning algorithms
- Change detection algorithm for identifying variances within EO and SAR spectrums
- Generative AI analysis for revealing complex patterns in noisy datasets
- Capability to task satellites for specific imagery needs
- Integration of open-source data from sources like UN GDACS and NASA
- User-friendly interface for simplified geospatial analysis