
Ripik AI: Computer Vision AI Platform for Industrial Monitoring
Ripik AI helps industrial enterprises monitor materials, equipment, and processes. It is designed for teams in heavy industry that need to detect operational anomalies in real time.
At a glance
- Best for
- Industrial enterprises, Manufacturing companies in heavy industry, Large-scale plant operations
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Raw Material Analysis, Equipment Health Monitoring, Conveyor Belt Monitoring, Process Stabilization
- Integrations
- WhatsApp, SCADA, L2 systems, NVR connectors
- Official website
- Visit Ripik AI official website

Ripik AI provides a computer vision platform for industrial settings, specifically for the steel, cement, aluminum, power, and chemical sectors. The system uses Vision AI Agents to monitor video feeds 24/7 to identify irregularities in industrial operations.
The software allows users to deploy and manage multiple AI agents across different plants through a centralized platform. It supports various monitoring tasks, including measuring raw material size and moisture, as well as tracking equipment health such as furnace hotspots and conveyor belt wear.
Buyers should confirm how the deployment process aligns with their existing camera and NVR setups, as the tool may require customized models for specific industrial processes.
Key Features
Vision AI Agents
AI models designed for 24/7 automated monitoring of materials and equipment with reported accuracy of 95% or higher.
Anomaly Detection
A system designed to identify visual irregularities and trigger alerts in real time when operational parameters are violated.
Ripik Vision Platform
A centralized management hub used to deploy, customize, and scale AI agents across industrial operations.
Infrared and Optical Analytics
Uses thermal imaging and optical data to measure molten metal levels and detect heat-related failures.
Closed-Loop Automation
Supports the integration of automated workflows to trigger corrective actions based on AI detections.
Use Cases
Raw Material Analysis
Monitoring coal and coke particle size distribution and detecting moisture levels on conveyor belts.
Equipment Health Monitoring
Detecting hotspots in electrical switchyards and monitoring furnace refractory wear to support predictive maintenance.
Conveyor Belt Monitoring
Identifying foreign objects, cracks, tears, and misalignments to help reduce unexpected downtime.
Process Stabilization
Using infrared analytics to monitor molten metal levels in furnaces to support stable operations.
Best For
- Industrial enterprises
- Manufacturing companies in heavy industry
- Large-scale plant operations
Integrations
- SCADA
- L2 systems
- NVR connectors
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
What does Ripik AI do?
- It provides a platform of AI agents that monitor industrial camera feeds to detect anomalies, measure material sizes, and track equipment health.
Which industries is Ripik AI designed for?
- It is designed for heavy industries, including steel, cement, aluminum, power, and chemical manufacturing.
Can it detect things other than visual objects?
- Yes, it uses infrared analytics to detect thermal anomalies, such as hotspots in switchyards or molten metal levels in furnaces.
Source category: Software Development
Source subcategory: Computer Vision
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Categories
Software Type
How AI is used
Ripik AI is a computer vision platform for industrial enterprises that uses AI agents to monitor manufacturing processes and equipment. It supports workflows such as anomaly detection, material sizing, and thermal monitoring for sectors like steel and cement.
Pros & Cons
Pros
- Specialized for heavy industrial use cases like steel and cement
- Centralized platform for managing AI agents across multiple sites
- Includes infrared capabilities for thermal monitoring
- Supports role-based dashboards for plant teams and executives
Cons
- Designed for enterprise-scale operations, which may not fit very small businesses
- Pricing is not clearly available from the provided evidence
- Requires integration with existing camera and NVR hardware