The startup develops computer vision and artificial intelligence technologies for image processing and visual data analysis, utilizing algorithms and machine learning models for object and person identification. Their platform enables businesses to automate workflows and enhance decision-making in sectors such as retail, industrial quality control, and art authentication by extracting actionable insights from images and videos.
Funding
$410K 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.
Founders
Product
Problem
Traditional AI-based computer vision systems require extensive training data, leading to high costs and long development cycles. These systems often struggle with accuracy when identifying similar classes or adapting to new objects without retraining.
Solution
GETCOO offers computer vision solutions powered by DART (Direct Acquisition and ReTrieval), a proprietary AI technology that enables accurate object and person identification with minimal training data. DART overcomes the limitations of traditional AI by directly accessing images with the same content, eliminating the need for large datasets and reducing training costs. The technology's identification capabilities are independent of the number of classes, maintaining high accuracy even with tens of thousands of classes. GETCOO's solutions can be integrated into existing systems through APIs, providing customizable interfaces and seamless data exchange.
Target Audience
GETCOO's primary customers are businesses in retail, manufacturing, and art authentication seeking to automate workflows, improve quality control, and enhance decision-making through advanced computer vision.
Features
- DART technology: Proprietary AI for direct image retrieval and identification
- Fast training: Requires only a few images per class
- Real-time training: Dynamically add new classes without retraining the entire system
- High accuracy: Minimizes false positives, even with similar classes
- Scalability: Maintains performance regardless of the number of classes
- Customizable interfaces: Tailored to specific client needs and integrated with existing systems via REST APIs
- Flexible integration: Compatible with various image acquisition systems, including lightbox, ceiling cameras, and smartphone apps