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.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Software Only
Funding
Raised to date
$500KRaised 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.
- Source unavailable
Founders
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