Federated AI loved by Devs
From Prototype
to Production AI
Build & scale AI effortlessly with access to the right data, remove regulatory roadblocks, protect privacy, ensure security and improve cost-efficiency — so that you can move from prototype to real-world AI deployment, fast.
pipeline = (
Concat([
Source(blue),
Source(green),
Source(orange),
])
...
+ Targets(Select("label"))
+ Features(
Select(features) | MinMaxScaler(All)
)
)
model_from(
...
)
Everything You Need
To Move Beyond Red Tape
We know the frustration of being caught in an innovation deadlock,
lacking access to the right data and being limited by regulatory barriers and costs.
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 centralizing 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 AutoFL - the federated version of AutoML.
Run Anywhere, Anytime
Deploy AI seamlessly across various environments, reduce infrastructure costs and maximize 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
Join the Community
Join early adopters and pioneers, leveraging Katulu’s platform for Federated Learning to innovate without compromise.
Herbert Woisetschläger
M.Sc.Research Associate | TUM Chair of Decentralized Information Systems and Data Management
The platform is very intuitive. I especially like how easy it is to deploy the Katulu Agent on any device. In my opinion, this is a key factor in making data silos easily accessible.
Trusted by the Best
Unlock the Future of AI Innovation
Secure, Scalable, and Strategic
Reduce Cost and Deliver AI at the Speed of Insight
Skip the lengthy data transfers and regulatory hurdles—Federated AI allows you to run AI directly where your data resides, accelerating outcomes while staying fully compliant and much more cost-efficient.
Bridge Global Regulatory Barriers
Federated AI overcomes regulatory barriers, enabling you to leverage cross-border insights while keeping data securely in place, ensuring compliance with even the strictest global regulations.
Don't put all your eggs in one basket.
Keep your data secure by avoiding centralization. Federated AI reduces exposure to threats while providing the insights you need.
Uncover the Hidden Data Potential
Transform underutilized sensitive data into strategic assets. Federated AI unlocks insights securely and efficiently by bringing AI to your data.
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 at scale, not tweak.
