Dragoneye

About Dragoneye

Dragoneye is a computer vision platform that enables users to recognize objects in images without the need for data annotation or machine learning expertise. By generating detailed product metadata from images, it enhances e-commerce functionalities such as site search and buying analytics, ultimately driving revenue for retailers.

```xml <problem> E-commerce businesses often struggle to automatically extract detailed product information from images, requiring manual data annotation or specialized machine learning expertise. This process is time-consuming and costly, hindering efforts to improve site search, product recommendations, and buying analytics. </problem> <solution> Dragoneye offers a computer vision platform that enables users to automatically recognize objects and extract metadata from images without requiring manual data labeling or extensive machine learning knowledge. The platform allows users to build custom models with a few clicks, and provides REST APIs and SDKs in Python and Javascript for easy integration. Dragoneye's managed deployment is optimized for low latency at any scale, allowing businesses to quickly prototype and customize their models. </solution> <features> - Custom model building with a few clicks, no code required - REST API, Python, and Javascript SDKs for integration - Managed deployment optimized for low latency - Automatic product metadata extraction from images - Image classification </features> <target_audience> The primary target audience includes e-commerce businesses and retailers looking to enhance site search, product recommendations, and buying analytics through automated image analysis. </target_audience> <revenue_model> Dragoneye offers a subscription-based pricing model based on the number of image predictions. </revenue_model> ```

What does Dragoneye do?

Dragoneye is a computer vision platform that enables users to recognize objects in images without the need for data annotation or machine learning expertise. By generating detailed product metadata from images, it enhances e-commerce functionalities such as site search and buying analytics, ultimately driving revenue for retailers.

Where is Dragoneye located?

Dragoneye is based in East New York, United States.

When was Dragoneye founded?

Dragoneye was founded in 2023.

How much funding has Dragoneye raised?

Dragoneye has raised 500000.

Location
East New York, United States
Founded
2023
Funding
500000
Employees
2 employees
Major Investors
Y Combinator

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Dragoneye

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Executive Summary

Dragoneye is a computer vision platform that enables users to recognize objects in images without the need for data annotation or machine learning expertise. By generating detailed product metadata from images, it enhances e-commerce functionalities such as site search and buying analytics, ultimately driving revenue for retailers.

dragoneye.ai200+
cb
Crunchbase
Founded 2023East New York, United States

Funding

$

Estimated Funding

$500K+

Major Investors

Y Combinator

Team (<5)

No team information available.

Company Description

Problem

E-commerce businesses often struggle to automatically extract detailed product information from images, requiring manual data annotation or specialized machine learning expertise. This process is time-consuming and costly, hindering efforts to improve site search, product recommendations, and buying analytics.

Solution

Dragoneye offers a computer vision platform that enables users to automatically recognize objects and extract metadata from images without requiring manual data labeling or extensive machine learning knowledge. The platform allows users to build custom models with a few clicks, and provides REST APIs and SDKs in Python and Javascript for easy integration. Dragoneye's managed deployment is optimized for low latency at any scale, allowing businesses to quickly prototype and customize their models.

Features

Custom model building with a few clicks, no code required

REST API, Python, and Javascript SDKs for integration

Managed deployment optimized for low latency

Automatic product metadata extraction from images

Image classification

Target Audience

The primary target audience includes e-commerce businesses and retailers looking to enhance site search, product recommendations, and buying analytics through automated image analysis.

Revenue Model

Dragoneye offers a subscription-based pricing model based on the number of image predictions.

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