Manufacturing

Enable model-based product development

Manufacturing companies use Quix to optimize manufacturing processes, improve maintenance practices, simulate machine behaviour to expedite product development, and more.

Explore the platform

Manufacturing

Enable model-based product development

Manufacturing companies use Quix to optimize manufacturing processes, improve maintenance practices, simulate machine behaviour to expedite product development, and more.

Book a demo

Architecture diagram showing data sources, transformations and sinks

What can you build with Quix?

Model-based product development

Simulate device behaviour to expedite the development of new products and machines via digital twins. Reduce development time and cost of bringing new products to the market.

Process optimization

Identify production inefficiencies and bottlenecks in real-time, and adjust operations for optimal throughput and resource allocation.

Machine monitoring

Monitor distributed manufacturing plants and complex manufacturing processes centrally. Cost-effectively collect and process Terabytes of granular device data to create a single pane of glass for your manufacturing infrastructure.

Anomaly detection

Quickly identify equipment failures to minimise their impact on production output. Generate alerts down to the machine part to ensure they can be actioned effectively.

Predictive maintenance

Use ML and AI to predict equipment faults before they occur, and schedule maintenance proactively. This minimizes unplanned downtime, ensuring continuous production.

Centralize your data for analytics, monitoring and simulation

Collect more high frequency data from more devices

Cost-effectively collect Terabytes of data per day into a centralized cloud data store, providing a single pane of glass for your manufacturing infrastructure. Pre-process data to ensure data quality and consistency across devices.

Quickly integrate legacy plant data

Easily integrate data from legacy systems, even without software engineering skills. Quix provides out of the box connector templates for popular technologies like Siemens PLC, ModBus, OPC-UA or MQTT, that can also be customised for your use case.

Rapidly innovate with governance

Visualise and query data in real time, or run advanced MATLAB or ML models. 'Low DevOps' tooling ensures R&D teams can build fast, while governance features like projects, environments, permissions, auditing, monitoring, lineage and observability ensure IT maintains control over data quality and production apps.

Manufacturing use cases

Model-based product development

Simulate device behaviour to expedite the development of new products and machines via digital twins. Reduce development time and cost of bringing new products to the market.

Process optimization

Identify production inefficiencies and bottlenecks in real-time, and adjust operations for optimal throughput and resource allocation.

Machine monitoring

Anomaly detection

Quickly identify equipment failures to minimise their impact on production output. Generate alerts down to the machine part to ensure they can be actioned effectively.

Predictive maintenance

Use ML and AI to predict equipment faults before they occur, and schedule maintenance proactively. This minimizes unplanned downtime, ensuring continuous production.

Quality control

Use ML and AI to detect defects and maintain high-quality production standards, as well as reducing waste.

Customer story

Optimizing manufacturing efficiency with streaming data and ML

How CloudNC makes better predictions for maintenance, generates insights with very low latency, and transforms its factory operations with streaming data.

See the full story