Unblock data access for IoT analytics.

Offer predictive maintenance, performance optimization, and other predictive analytics and intelligence services, even for customers who don’t want their device data on the cloud.

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The days of moving data to the cloud are numbered.

Until now, most predictive analytics required that manufacturers put their data in the cloud.

But as sensitivity around data privacy and data sovereignty continue to grow, a growing number of manufacturers want to keep all of their data on site.

The MLOps toolkit for private IoT data.

With integrate.ai's production-ready, API-based platform, stand up secure federated machine learning and analytics on data from your customers' sites, so that you can start offering them analytics services while complying with GDPR practices.
Your customers do not need to move data to the cloud.
Integrate seamlessly and quickly using our SDK.
Deploy easily on integrate.ai secure architecture.
Protect sensitive process data with differential privacy.
Save engineering time with managed infrastructure.
Empower your analysts with tools for the entire data science workflow.

Accelerate your IoT analytics product roadmap.

Enable your team to offer value-added analytics and intelligence services by accessing data that resides at your customers' sites.
Predictive maintenance: Fix equipment and processes before they result in failure.
Performance optimization: Improve Overall Equipment Effectiveness (OEE).
Quality control: Leverage machine learning and analytics to optimize for quality and cost.


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