Insightify’s Smart Factory
Data is Your Production Power
Minimize
Downtime
- Start acting, not reacting with advanced monitoring systems and predictive analytics
Increase
Throughput
- Real-time production data working for a single machine, line and the whole plant
Sharpen Your
Cycle Time
- Increase your efficiency on the macro scale thanks to precise monitoring
Only three steps to take
Your Factory from the ground
Manufacturing Assets Integration
Connect all your PLC, SCADA, MES, and ERP systems to work seamlessly and efficiently together under unified hood
Secure, Scalable Data Platform
Start storing your production data in a scalable cloud platform that grows organically with your needs
Analytics, Visualization & ML
Use data for deeper analytics and visualization, preparing it for Machine Learning and AI models
SUPPORTED SYSTEMS INCLUDE
PLC Connectors
ERP Systems
Our Solution
Three Architecture Components
The factory—with its devices, production lines, and edge computing—is the interaction point between Automation and Data Engineering Teams
The cloud provides a bespoke architecture based on inputs from the Automation Team and business, built with best practices, fully scalable, and allowing analysis of all collected data with real-time visualization.
Advanced Analytical and Data Science components. Machine Learning models working directly on Edge Computing that is as close to production as it gets
Three Teams
Automation Engineers extract manufacturing data, while Data Engineers unlock cloud possibilities, creating a seamless flow of information and innovation
Data Scientists to use that data for analytics, predictions, monitoring, Machine Learning & AI
Try Before Buy
Define a clear objective—whether it's broad, like improving efficiency or reducing costs, or specific, such as boosting a line's throughput. This goal will guide all your decisions
Start with a small, manageable scope, like a non-critical line or a specific operation (e.g., monitoring or inventory management) to ensure focused, measurable results.
Select a pilot process that is important but not critical, allowing you to experiment without major risks. Machine monitoring or quality control are ideal choices
Ensure the process is complex enough to yield insights yet simple enough to adjust. This pilot phase will be your test bed for broader application
Choose KPIs that align with your goals, like uptime or product quality, to measure the effectiveness of your pilot process
Make sure these KPIs are relevant and measurable. This will help you track progress and make informed decisions as you refine your strategy
With your objectives in place, select a cloud platform. Options like AWS IoT, Azure IoT Hub, or open-source platforms are available based on your needs
Each platform has its strengths. We’ll help you choose one that fits your current and future needs, ensuring scalability and seamless integration.