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HappyRobot

Extract quantitative data from geospatial imagery using AI.

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About

Happyrobot is an AI tool designed to extract quantitative data from geospatial imagery using natural language queries. It enables users to transform geospatial imagery, including satellite, drone, and aerial imagery, into structured data for decision-making purposes.

The tool offers the option to upload custom images or use images sourced from partners. Using one example, users can find all objects of interest within the entire dataset and describe them using natural language.

Happyrobot provides various export options, including email, PDF, ArcGis, and API, allowing users to conveniently access and utilize the extracted data.

The tool is trusted by leading data teams and has a strong customer base. Additionally, Happyrobot offers partnerships that enable data owners to monetize their assets by building AI models and establishing trust to generate recurring revenue streams.Overall, Happyrobot serves as an AI copilot, utilizing advanced algorithms and machine learning techniques to autonomously analyze geospatial imagery and extract valuable data.

By enabling users to interact with the tool through natural language, it facilitates seamless query-based exploration of the world. Whether it is for urban planning, environmental monitoring, or any other geospatial application, Happyrobot provides a reliable and efficient solution for transforming geospatial imagery into structured data.

HappyRobot interface showing homepage

Key Features

Geospatial data extraction
Extracts from various imagery
Handles satellite
drone
aerial images
Custom image upload option
Use partner-sourced images
Object recognition in datasets
Natural language queries
Multiple data export options
Trusted by leading data teams
Data owner partnership opportunities
Revenue generation for data owners
Query-based exploration
Applications in various sectors
Transforms imagery to structured data
Data suitable for decision-making
Seamless user interaction

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Information

Pricing No Pricing
Favorites 0
Release Date October 25, 2022

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