Collect, manage, and analyze data in production facilities all from one place

ABB OptiFact is a modular software platform to extract and build business value by collecting, managing, and analyzing data in production facilities. OptiFact can connect to many devices in the factory including ABB robots. There is no need for permanent connectivity or sending your data externally, meaning users have full control over their digital setup. Users can build your own dashboard and organize data with our labelling and modeling tools to better display key performance indicators based on your specific needs and production processes.

Key benefits

Cycle times data

Collect data from hundreds of factory devices to determine cycle time and OEE

Increased production time

Increase the production time by up to 20% by limiting the number of errors in your factory

Track KPIs

Improve decision making in the factory by tracking KPIs and avoiding major breakdowns

Advanced analytics

Analyze your data within 3 clicks through a selection of ready-made dashboards or designing your own

Make more with your data

Make sense out of your data with the Data Manager and unlock up to 25% of your most valuable experts’ time

Technical data

Increase production time 20%

by up to

Related content

ABB launches OptiFact™ to unlock full potential of factory data

OptiFact collects, manages, and analyzes data from hundreds of factory devices centrally, saving up to 25% time in data collection and analysis. The new platform, which complements ABB Robotics’ existing digital solution suite, helps factory operators increase production uptime by up to 20%.

Optimizing the Overall Equipment Efficiency of your Factory with OptiFact™

Get real-time updates on production KPI’s and act quickly on any deviations. Customize dashboards to your needs and share them with your teams and reduce the number of deviations & increase the OEE of your factory.

Empowering Data-Driven Maintenance with OptiFact™

Search error logs and uptime data to pinpoint the exact cause of problems in production. Make faster decisions with a Data-Driven approach and prioritize tasks with precision and focus efforts on area that have the biggest impact on production.

Improve operations by knowing what to focus on

Cross data from multiple sources and look only at what is relevant for each user. Let experts rely on facts before trying to fix problems. Be more proactive than reactive and optimize the life cycle of your machines.

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