Madvision
Website unreachable since Oct 22, 2026
Madvision is an AI-powered computer vision startup that enables businesses to extract actionable insights from visual data. The company's platform applies machine learning models to analyze images and video streams for applications such as quality control, surveillance, and automated inspection. Madvision aims to reduce manual review time while improving detection accuracy for enterprise customers.
- Artificial Intelligence
- Manufacturing / Industry 4.0
- Industrial Automation
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Businesses with visual data-intensive operations often rely on manual review of images and video, which is slow, error-prone, and does not scale. This manual approach leads to missed defects, delayed responses, and high labor costs across industries such as manufacturing, retail, and security.
Solution
Madvision provides an AI-powered computer vision platform that automates the analysis of images and video streams. The platform applies pre-trained and customizable machine learning models to detect objects, anomalies, and patterns in visual data. Users can deploy the solution on-premises or in the cloud, integrating it with existing camera systems and production lines. The platform delivers real-time alerts and structured reports, enabling faster decision-making and reducing the need for constant human supervision.
Target Audience
Primary customers are manufacturing companies, logistics operators, and security teams seeking to automate visual inspection and monitoring processes.
Features
- Pre-built computer vision models for object detection, anomaly detection, and pattern recognition
- Custom model training pipeline that allows users to fine-tune models on their proprietary datasets
- Edge deployment support for low-latency inference on local hardware
- REST API and SDKs for integration with existing enterprise software and workflows
- Real-time alerting and dashboard for monitoring multiple video feeds simultaneously