AI in manufacturing

Leverage distributed datasets from your subsidiaries, suppliers, or customers to increase efficiency along the manufacturing value chain

Collaborate across organizational boundaries while keeping IP protected

Harness the full potential of industrial AI while keeping IP sensitive data protected. The Apheris platform enables data teams in manufacturing to get real-time access to high-quality data. Build and orchestrate your industrial data ecosystem.

AI in manufacturing

Secure value chain collaboration

Train robust and interpretable ML models on supplier and partner data to understand efficiency and identify supply chain risks.
Integrate your existing model and data pipelines for validation and QA while ensuring all IP remains protected.

AI quality monitoring

Build powerful quality control systems to detect quality issues early and improve production reliability. Leverage data from machines that span across production sites, organizations, or geographies.

AI-enabled features for machines

Upgrade your machines with continuously improving AI features. Gain access to high-quality data from multiple organizations to train models without transferring any data.

Why data teams in manufacturing choose Apheris

Apheris allows organizations along the value chain to collaborate on data, AI, and to share domain expertise without risking privacy or intellectual property of data, machine learning, or other assets.

No need to move data

Apheris federated infrastructure ensures that data always stays where it resides and under the full control of the data custodian, meeting data residency and IP protection requirements.

Integrated SDK

ML teams can leverage their existing ML and data pipelines to ensure that models are trustworthy, robust, and interpretable.


The Apheris platform provides logging of every interaction to assist with compliance and audit obligations.


The Apheris platform scales to many simultaneous computations and can handle large computational workloads, which is key for those businesses that are working across many use cases.

Trusted by our customers and partners

Enabling privacy preserving analytics along the value chain


"With Apheris we found the perfect partner for exploring privacy preserving data analytics and optimization along the value chain with our customers."

Christian Winkler, Director Global Infinergy Operations BASF

Any data, any size, anywhere

Want to learn more about how Apheris can help you power your data infrastructure with federated machine learning and analytics?
Get in touch

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Case Study

Case Study: Manufacturing

Learn how multiple companies across a manufacturing value chain have securely collaborated on data while protecting the IP of any party, data, or model.

White Paper

Beyond MLOps - How Secure Data Collaboration Unlocks the Next Frontier of AI Innovation

DevOps and MLOps are common methodologies in every company that wants to become software and data science driven by weaving AI into the core fabric of their business. Read what is required to securely collaborate with partners on data and AI at scale.


The big data opportunities: manufacturing

In order to rise above today’s challenges, manufacturers need to come together, pool their collective assets and insights, and create modern solutions to modern problems.