Making manufacturing machine data accessible from anywhere, in real-time.


Making manufacturing machine data accessible from anywhere, in real-time.

Machine Data in the Cloud

The data management framework organizing all the industrial machine data collected by ArchFX, enabling secure, high-performance searching, analysis and presentation.

Getting machine data from diverse machines via software and hardware connectors and normalizing the data with a broker is necessary, but it’s not sufficient to optimize manufacturing operations and unlock business value. The data must be organized and securely centralized for efficient calculations of Global KPIs and advanced analytics across worldwide longitudinal datasets. ArchFX™ Cloud is the data management framework that organizes all the machine data collected and normalized by Arch for secure, high-performance searching, analysis, and presentation.

High-performance secure machine data storage

The ArchFX Cloud receives normalized data from ArchFX Brokers throughout the enterprise:

  • Time-series data is stored in a time-series database
  • Structured data is stored in a relational database
  • All data is archived in a secure data lake

These practices allow all types of data to be efficiently and securely accessed, making Arch’s other application and analytics offerings possible.

Factory Model Management

The ArchFX Cloud structures manufacturing machine data into an ISA-95 factory model to power multiple data-driven use cases.

Providing accurate KPIs and predictive analytics requires an accurate model of an organization and its every site, area, line, and machine. The ArchFX Cloud serves as the administrative tool for defining and managing this detailed factory model so manufacturers have a continuously up-to-date model of their organization and operations and continuously accurate reports, KPIs and analytics. The ArchFX Cloud provides access control, account management (of users, organization, devices, and organizational data), event management, alerting, and a library of standard reports.

Scheduled and on-demand reports

The ArchFX Cloud can run reports automatically on a schedule and employees can run reports on-demand.

Manufacturers can define custom reports for metrics and data presentations of interest. For example, operations staff at corporate headquarters may wish to see weekly summaries of production on every line worldwide delivered as a spreadsheet for further analysis, and individual sites may wish to see a similar summary specific to their own lines. The ArchFX Cloud can run the reports automatically on a schedule, and employees can run the reports on demand.

Global Manufacturing KPIs Solution

ArchFX GLO™ uses the data stored in the cloud to present standard manufacturing Key Performance Indicators (KPIs) like Overall Equipment Effectiveness (OEE), Line Utilization (LU), and Machine Utilization (MU) globally and for every region, site, area, line, and machine.

ArchFX GLO provides:

  • Automatically, accurately calculated standard KPIs like throughput, Machine Utilization, Line Utilization, and Overall Equipment Effectiveness.
  • Continuously up-to-date views of your global business performance. Every day, see results for the last hour, day, week, or month and spot emerging trends.
  • Staff empowered in every location and at every level to identify opportunities and take initiative.
  • Focused management attention where it’s needed to improve performance.

Open APIs for integrations

The ArchFX Cloud has RESTful APIs for accessing the normalized data stored in relational databases, time-series databases, and the ArchFX data lake.

Because the ArchFX Broker has normalized the data and the ArchFX Cloud has securely stored it for high-performance access, your data science team can focus on semantics and inference instead of data cleaning. Our SDK supports interfacing with modern Python-based data science tool stacks and Jupyter notebook-based environments.

Advanced Manufacturing Analytics

ArchFX Process Insights transforms the normalized data stored by the ArchFX Cloud into actionable insights driving operational improvements.

Use Case: Electronics Manufacturing

SMT manufacturers can detect specific feeders or nozzles that are causing expensive Pick-and-Place (PnP) machines to have excessive mispick errors, and they can develop predictive maintenance analytics that determine the true duty cycle for each component and ensure that components are serviced or replaced before problems occur. They can also aggregate line performance over numerous product build sessions to determine how efficiently each product is being built and how well its line is balanced.

ArchFX Factory Exchange, empowering data sharing across strategic partners

The ArchFX Factory Exchange securely federates and shares data across suppliers, contract manufacturers, OEMs, and machine vendors

Strategic partners know that, by sharing data, they can drive added value together. Manufacturers and equipment providers are enabling new use cases such as improving quality and implementing new closed loops by bringing together previously siloed data.  Leading product OEMs and their manufacturing partners are building a digital thread to minimize product recalls and time to troubleshoot while becoming more transparent on sharing key metrics across the supply chain.

ArchFX makes this Factory Exchange possible– where data can be shared securely with authorized users both inside the company and with external stakeholders. Manufacturers can also use the ArchFX Factory Exchange to securely obtain component parts production data from suppliers, enabling continuous monitoring of benchmarks like quality and throughput. The ArchFX Factory Exchange, powered by the ArchFX Cloud, securely federates and shares data throughout the value chain, providing the level of secure visibility into production and quality processes that world-class brands demand today. It can also share machine and component information as well as prescriptive and predictive maintenance information between manufacturers and vendors that improve quality and timeliness of support and maximize machine performance.


Find out how you can leverage your own data now.


Find out how you can leverage your own data now.