Your personalized AI agents with automated pair of eyes, enabling 24/7 monitoring with 95%+ accuracy, optimizing operational performance with advanced visual insights.
Your
Personalized
Single Cockpit
for All Use Cases
A centralized interface for seamless monitoring, analytics, and management of Vision AI use cases, offering persona-based access and enterprise-wide visibility across plants.
Ready to Use
Plug & Play platform
Integrate our plug-and-play platform for rapid AI deployment with an enterprise-customized UI/UX, featuring pre-built connectors for cameras and NVRs, as well as ready-to-use dashboards and reports.
Best In Class
Enterprise AI
End-to-end robust data flow with multi-layered AI models and an optimized architecture, ensuring high accuracy while minimizing compute costs for efficient AI deployment.
Seamless Workflow Integration
Role-based dashboards for CXOs and plant teams, pre-built integrations (WhatsApp, SCADA, L2), and closed-loop automation for instant corrective actions.
Robust Enterprise
Security & Support
SOC2, GDPR, and ISO certified for compliance, featuring enterprise-grade encryption and controlled access to prevent data leakage, backed by 24/7 support.
Robust Security
Enterprise-grade encryption and role-based access ensure robust security.
Speed
Rapid deployment in under a week with pre-built integrations and optimized AI models.
Scale
Scales effortlessly to thousands of AI agents for enterprise-wide deployment.
95%+ Accuracy
Delivers 95%+ accuracy with advanced Vision AI models for precise monitoring.
99%+ Uptime
Ensures 99%+ uptime with a reliable and resilient Vision AI infrastructure.
Experience a comprehensive Computer Vision AI stack with Ripik Vision, available both on-premises and on-cloud. Our sophisticated Computer Vision SaaS solution is tailored specifically for industrial environments, offering unmatched insights and efficiency to meet your operational needs.
AI agents with a computer vision system continuously monitor oversized particles and foreign objects, ensuring immediate identification and response to potential issues. This helps prevent costly plant downtime caused by oversized rocks, enabling timely maintenance and minimizing operational disruptions.
Vision AI agents continuously monitor raw materials, detecting fines and undersized particles that decrease permeability and contribute to increased Fly Ash. This real-time monitoring ensures early detection, allowing for timely corrective actions to optimize material quality and reduce operational inefficiencies.
AI agents with a computer vision system continuously monitor oversized particles and foreign objects, ensuring immediate identification and response to potential issues. This helps prevent costly plant downtime caused by oversized rocks, enabling timely maintenance and minimizing operational disruptions.
Implementing Vision AI agents with infrared-based monitoring for material moisture measurement enables industries reliant on coal, limestone, and sinter to reduce production costs, enhance fuel efficiency, prevent blockages, and promote sustainability through optimized resource utilization and reduced energy consumption.
Unmonitored conveyor systems lead to breakdowns and inefficiencies, with debris, wear, and misalignment causing damage and disruptions. A Vision AI agent platform for Conveyor Belt Condition Monitoring detects issues early, preventing costly downtime and ensuring smoother operations.
Vision AI agents continuously monitor furnace refractory, detecting signs of wear or damage in real-time. This proactive monitoring ensures timely maintenance, preventing costly failures and optimizing furnace performance.
Elevate cement kiln operations with Vision AI agents for optimal process control. We offer real-time health monitoring, instant alerts, automated reports, and actionable insights to reduce process variations, enhance efficiency, cut fuel costs by up to 10%, extend refractory life, and minimize downtime.
AI agents with computer vision detect hotspots within the switchyard, caused by abnormal temperature increases from the overheating of isolators, insulators, and other critical components. This real-time detection allows for early intervention, preventing damage and improving operational safety.
In industries like metals, mining, and chemicals, inconsistent material blending can cause quality issues, inefficiencies, and waste. Vision AI enables real-time tracking of blend ratios, ensuring precise composition control. By detecting deviations early, it enhances consistency, reduces rework, and optimizes resource use.
Untracked activities in casting zones can lead to safety risks, process deviations, and inefficiencies, resulting in defects and equipment wear. Vision AI monitors operator movements, equipment interactions, and process adherence in real time. By ensuring safety compliance and detecting workflow inefficiencies, these AI systems enhance reliability, minimize risks, and improve process efficiency.
Irregularities in sinter discharge can cause uneven material flow, process disruptions, and equipment wear, affecting efficiency and product quality. Vision AI monitors discharge rates, material consistency, and operator actions in real time. By detecting anomalies early, these AI systems ensure stable operations, reduce waste, and improve overall efficiency.
Inefficient dispatch operations can cause delays and bottlenecks, affecting supply chain efficiency. Vision AI tracks loading, vehicle movements, and protocol compliance in real time, ensuring accurate documentation, reducing errors, and optimizing logistics.