Dragoneye

About Dragoneye

Dragoneye provides a Vision AI platform that enables zero‑shot object detection from plain‑text descriptions without any model training. Users can deploy custom detection models instantly via Python or Node SDKs, leveraging pre‑configured templates for rapid integration. The service supports video and image inputs, delivering precise classifications for items such as traffic cones, safety gear, and signage.

```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 provides a Vision AI platform that enables zero‑shot object detection from plain‑text descriptions without any model training. Users can deploy custom detection models instantly via Python or Node SDKs, leveraging pre‑configured templates for rapid integration. The service supports video and image inputs, delivering precise classifications for items such as traffic cones, safety gear, and signage.

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 $500.0K.

Location
East New York, United States
Founded
2023
Funding
$500.0K
Employees
2 employees
Investors
Y Combinator
D

Dragoneye

Dragoneye provides a Vision AI platform that enables zero‑shot object detection from plain‑text descriptions without any model training. Users can deploy custom detection models instantly via Python or Node SDKs, leveraging pre‑configured templates for rapid integration. The service supports video and image inputs, delivering precise classifications for items such as traffic cones, safety gear, and signage.

East New York, United StatesFounded 20232200+ followers10/10 TractionRelative Traction Score based on online presence metrics compared to companies in the same age group.
Updated 19 months ago

Funding

$500.0K 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.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

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.

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.

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
This profile is AI-generated and may contain inaccuracies.