Chooch AI

Chooch AI provides a computer vision platform that utilizes generative artificial intelligence to analyze and interpret visual data from images and video streams. Founded in 2015 by brothers Emrah and Hakan Gültekin, the company aims to replicate human visual tasks with greater speed and accuracy. Emrah Gultekin, a serial entrepreneur, and Hakan Gultekin, who has a background in developing medical imaging analysis systems, combined their expertise to focus exclusively on AI for computer vision.

The company has developed a complete computer vision deployment platform that manages the entire AI lifecycle, from data set creation and model training to deployment and performance evaluation. The platform is designed to be hardware and software agnostic, capable of processing imagery from various sources including infrared sensors, X-rays, and standard cameras. It can be deployed in the cloud, on-premises at the edge, or in a hybrid model. To accelerate deployment, Chooch offers 'ReadyNow' pre-trained models for common applications and also uses synthetic data to generate thousands of image variations, which allows for the creation of high-accuracy AI models in hours.

Chooch serves a diverse client base that includes Fortune 500 companies and the U.S. government, operating in sectors such as healthcare, security, manufacturing, retail, geospatial, and media. In healthcare, the platform is used for remote patient monitoring to detect falls and distress, as well as for automating medical imaging analysis. For industrial and retail clients, applications include monitoring for production defects, workplace safety, inventory management, and loss prevention. The platform also has applications in public safety, such as early wildfire detection by monitoring surveillance cameras.

The company has raised a total of $42.9 million over four funding rounds. Its most recent funding was a Series A round on November 16, 2022, for $20.1 million, led by Vickers Venture Partners. Chooch is headquartered in San Mateo, California.

Keywords: computer vision, generative AI, video analytics, visual data processing, AI platform, machine learning, deep learning, edge AI, ReadyNow models, synthetic data generation, object detection, image recognition, remote patient monitoring, workplace safety, manufacturing QA, retail analytics, geospatial analysis, wildfire detection, security surveillance, AI lifecycle management