The startup offers a visual recognition platform that autonomously processes diverse visual data, including infrared and X-ray images, while accurately tagging objects of interest. This technology enhances operational efficiency and ensures high-quality results for clients across various industries.
Funding
$24.7M 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
Many organizations struggle to efficiently analyze visual data from diverse sources like cameras, satellites, and medical imaging devices, leading to missed insights and delayed decision-making. Manual review processes are often time-consuming, costly, and prone to human error.
Solution
Chooch provides a Vision AI platform that enables organizations to automatically process and analyze visual data, extracting actionable insights in real time. The platform supports a wide range of image types, including infrared and X-ray, and can be deployed in the cloud or at the edge. By automating visual data analysis, Chooch helps businesses improve operational efficiency, enhance safety, and gain a competitive edge.
Target Audience
Chooch targets organizations across various industries, including healthcare, manufacturing, retail, and smart cities, that seek to automate visual data analysis and improve decision-making.
Features
- ReadyNow AI models for rapid deployment across various industries and use cases
- AI Vision Studio for custom model creation, improvement, and management
- Smart Annotation feature to accelerate dataset creation and model training
- Inference engine optimized for low FPS environments with multiple heavy models
- Compatibility with a wide range of devices, including GPUs, CPUs, and edge devices
- Active Continuous Learning (ACL) for continuous improvement of image recognition accuracy
- Air gap data isolation technology for enhanced data security
- Support for various applications, including object detection, image recognition, and sentiment analysis