Trusted by our customers and partners
Collaborate across organizational boundaries while keeping IP protected
Apheris enables data teams in manufacturing to get real-time access to high-quality data and build and orchestrate data ecosystems while keeping IP-sensitive data protected. Collaborate along the value chain without risking privacy or intellectual property of data, machine learning, or other assets.
EXAMPLE USE CASES
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.
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 to collaborate on data and AI without risking privacy or intellectual property of data, machine learning, or other assets.
Federated
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
ML teams can leverage their existing ML and data pipelines to ensure that models are trustworthy, robust, and interpretable.
Cross-boundaries
Work across boundaries while ensuring compliance and that IP is protected. Apheris provides logging of every interaction to assist with audit obligations.
Scalable
The Apheris Compute Gateway scales to many simultaneous computations and can handle large computational workloads, which is key for those businesses that are working across many use cases.
Manufacturing
"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
Private, secure, governed
Want to learn more about how Apheris can help you with computational access to data across organizational and geographical boundaries?