Chooch - 2026 Pricing, Features, Reviews & Alternatives

Chooch is a computer vision AI platform that detects, analyzes, and acts on visual data from video streams and images in real time. Spanning the full AI lifecycle, it covers dataset creation, smart annotation with synthetic data generation, no-code model training, edge and cloud deployment, real-time inference, and analytics. ReadyNow pretrained models covering 250,000+ concepts support immediate production deployment across object detection, image recognition, PPE detection, fire and smoke detection, license plate recognition, loitering detection, slip and fall detection, and more. Active Continuous Learning (ACL) with a human-in-the-loop architecture continuously improves model accuracy from live video data over time. ImageChat, a vision and large language model (LLM) ensemble, supports Visual Question Answering (VQA) via prompt engineering. Deployment options include cloud, edge, on-premises, and hybrid combinations, with support for air-gapped environments, Kubernetes, and most GPUs and CPUs. A structured deployment process covers site assessment, installation, configuration, testing, training, and go-live support, enabling production readiness in hours or days.

Chooch serves Fortune 500 and G2000 enterprises, public sector and government organizations, and healthcare systems across manufacturing, retail, logistics, warehousing, defense, aerospace, energy, telecommunications, construction, smart cities, and transportation. In healthcare, camera-based AI delivers zero-touch shelf monitoring, real-time on-hand inventory tracking, predictive demand forecasting, automated replenishment triggers, expiry risk detection, and ERP/EHR integration with platforms including Epic, Oracle, and Workday, all without barcodes or manual scanning. Remote patient monitoring capabilities include fall detection, wandering detection, mobility tracking, and real-time behavioral risk alerts, with automated privacy protections that anonymize individuals incidentally captured in camera feeds. The platform is HIPAA-compliant and collects no patient health information. A REST API, configurable smart analytics dashboard, and edge device management layer allow programmatic access and model deployment without DevOps involvement, scaling from a single room to a full hospital or enterprise network.