Averroes AI is an end-to-end automated AI visual inspection platform for manufacturing, with its core positioning being to help manufacturing companies build, train, and deploy custom visual inspection models in a no-code manner for defect detection and quality assurance.
In terms of use, the platform is mainly used for automated visual inspection in manufacturing processes, covering tasks such as defect classification, object detection, and image segmentation, with the goal of "catching every defect, zero escapes," replacing or assisting manual visual inspection with accuracy higher than the human eye.
Its main capabilities include: the company claims it can achieve defect detection accuracy of over 99%, object detection accuracy of over 98.5%, and segmentation accuracy of over 97.7%, with a false positive rate close to zero; it supports anomaly detection using only a single image; only 20–40 images per defect category are needed to train a high-quality model; it has active learning capabilities and can continuously improve accuracy over time; it can seamlessly integrate with existing proprietary inspection systems without additional hardware; it offers both on-premises and cloud deployment options; the company says each application can save more than 300 hours of manual inspection time per month and improve product quality by 30%.
In terms of usage, the platform emphasizes no-code, allowing users to train and deploy custom AI models without programming skills, and it is data & vertical agnostic, able to adapt to different data and vertical domains. The official page provides a "Request a Demo" entry point, while the specific usage process and operational details are not yet provided.
Applicable scenarios include industries such as solar, semiconductors, oil and gas, as well as other manufacturing processes that require automated visual inspection.
In terms of limitations, the company has not disclosed specific pricing, free trial policy, supported languages, system integration list, deployment environment requirements, or data security compliance details; this information is not yet provided.
