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Fast, Secure, and Scalable AI

Overcome the Barriers

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Move Beyond Barriers

Get Started in 3 Simple Steps

1

Connect Your Data

Easily connect and securely manage your datasets through our platform, enabling seamless access and control.

datasets:
- name: postgres-dataset-name
  type:
      postgres:
        url: postgres://u:p@host:port/database
        query

2

Define a Federated Data Pipeline

Create scalable and secure data pipelines that integrate data from multiple sources without moving it.

pipeline = (

Concat([

Source(blue),

Source(green),

Source(orange),

])

...

+ Targets(Select("label"))

+ Features(

Select(features) | MinMaxScaler(All)

)

3

Train, Analyze, and Optimize Your Model

Train your AI models across decentralized data sources, then seamlessly aggregate, analyze, and refine your results to ensure optimal performance and compliance.

model_from(

...

)

Join the Community

Join a community of early adopters and pioneers, leveraging Katulu’s platform to innovate without compromise.

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Documentation

Herbert Woisetschläger

M.Sc.Research Associate | TUM Chair of Decentralized Information Systems and Data Management

I really like the pipeline logic – very intuitive operators. This simplifies quite a few things when mingling with multi-modal data.

Everything You Need
To Move Beyond Roadblocks

We understand the frustration of being caught in an innovation deadlock.
That's why we've designed our Federated AI platform to bridge the gap between ambition and reality. So you can build, train, and deploy AI models securely at scale without centralising data. All in three simple steps.

Privacy-First AI Solutions

Our federated learning capabilities ensure that your AI models are trained and deployed without compromising data privacy. Further streamline the process with AutoML.

Run Anywhere, Anytime

Deploy AI seamlessly across various environments, reduce infrastructure costs and maximise flexibility.

Uncompromising Data Security and Privacy

Katulu is ISO 27001 certified, providing the highest standards of data security and privacy for all your AI operations. Our platform features advanced security measures and comprehensive access controls, differential privacy and confidential learning.

Scalable Data Operations with Seamless Adaptability

Our flexible federated data pipelines are designed to handle massive amounts of data and adapt quickly to changing requirements. With feature-composable and expressive operations, you can streamline data preparation and processing. This agility ensures that your AI projects can scale effectively without disrupting existing operations.

Federated Data Lineage • Expressive and Composable Data Pipelines • Comprehensive Python SDK • Differential Privacy • Parallel Job Execution • Horizontal and Vertical Federated Learning • Rich Set of Data Operations • Various Data Connectors • Confidential Learning • Auto ML • Accelerated Runtime

From Challenges to Results

How Siemens Leveraged Katulu
to Achieve AI Excellence

Siemens faced barriers in developing AI models that met their high performance standards. By leveraging Katulu’s Federated AI Platform — and with that, access to a much larger dataset — they achieved their target F1 score of 98%. This led to higher first-pass yields, streamlined quality processes, and reduced manual labor — all without disrupting their existing operations and data infrastructure.

From Challenges to Results

How Siemens Leveraged Katulu
to Achieve AI Excellence

Trusted by the Best

Drive Real-World AI Impact, Today

Don't let data silos, privacy concerns, or high costs slow you down. Get your AI models ready for deployment within today. Focus on building deep learning algorithms while we handle the rest. Our platform ensures fast, secure and scalable results - so you can innovate, not tweak.

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