Chooch AI

Chooch AI operates as a computer vision AI platform, founded in 2015 by Turkish-American brothers Emrah and Hakan Gültekin. Emrah, the company's CEO and chairman, is a serial entrepreneur with a background in building startups and holds a degree from Brown University and a MicroMasters from MIT. Hakan, the CTO, began his journey in computer programming at an early age and developed an image analysis system for medical imagery on mobile devices a decade before co-founding Chooch. The company was born from their goal to replicate human visual understanding in machines.

The firm's core business is providing a horizontal AI platform that enables companies to develop and deploy scalable computer vision solutions. This platform is designed to be hardware and software agnostic, processing visual data from any spectrum, including light, electro-optical, and x-ray, sourced from devices like smartphones, drones, and medical imaging equipment. Chooch AI caters to a diverse client base that includes Fortune 500 companies, the U.S. government, and enterprises across sectors such as healthcare, security, retail, manufacturing, and geospatial industries. Revenue is generated through a partner ecosystem model and by providing its AI platform to clients.

The Chooch AI platform allows for the rapid ingestion of visual data to generate and train AI models that can detect objects, actions, states, and coordinates. A key feature is the ability to deploy these models either in the cloud or on edge devices. The company offers pre-trained "ReadyNow" models for common applications like personal protective equipment (PPE) detection, fire and smoke detection, and retail analytics, which accelerates deployment for clients. Furthermore, the platform can generate synthetic data from CAD files and 2D images to create thousands of image variations, which facilitates the creation of high-accuracy AI models even with limited initial data. For example, the platform can be used for real-time surveillance for workplace safety, monitoring surgical procedures, detecting wildfires, and automating inventory management.

Keywords: computer vision, artificial intelligence, visual AI, machine learning, object detection, image recognition, video analytics, edge AI, AI models, synthetic data generation, deep learning, healthcare AI, retail analytics, security AI, manufacturing AI, geospatial AI, workplace safety, fire detection, inventory management, anomaly detection