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Scale your industrial AI with the power of distributed data

Collaborate with customers, suppliers and peers without sharing data.
Boost efficiency while staying in control of your data and trade secrets through Katulu.
The platform for federated machine learning in industry - compliant, secure & scalable.
The best way to gain value from data.

Learn how

Free Whitepaper on how Siemens scales AI globally with Katulu

  • Discover how Siemens transfers best practices across factories combining Katulu’s federated learning platform and Siemens Industrial Edge.
  • Gain deep insights into challenges, real-world experiences, and key learnings from implementation of federated learning in electronics manufacturing in production.
  • Learn how to enable industrial-grade AI while ensuring privacy, data security, and compliance - plus deep-dive on architecture, technology stack and model performance results.

Katulu explained by ZDF

What our customers achieve with us

Cost of Quality savings by 20%

Global production cost savings through cross-site quality control synergies and improve your First Pass Yield (FPY).

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Waste reduction by more than 50%

Reduction of waste in manufacturing processes through cross-company, inline quality control.

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Global Best Practices - priceless

Best practices applied to all manufacturing sites worldwide for consistent quality output & efficiency.

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Ready to leverage all your data for business?

Discuss your business case with our industrial AI specialists.

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Your success factors with us

Compliant, secure & private collaboration

Ensure compliance, security & speed when build and run AI applications using all of your organization's data. Our platform solves internal barriers, such as regulatory constraints (e.g. export control, GDPR etc.) and IP protection, while remaining compliant.

Your customers as data partners

Turn your customers into your data partners. Enhance your AI products with indirect access to their data by ensuring that everyone's data remains private. Offer new ways to monetize private data and compute resources to scale your digital services.

Cost and risk reduction

Cost and risk reduction starts with bringing the AI to the data since data never leaves its owner. Save up to 99% on data transfer costs and eliminate the risks of centralized data storage such as data breaches. Stay in control with granular policies on who can train on your data.

Trusted by

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Unlock your AI potential

Looking to make federated machine learning work for you?

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