Fast Track Business Impact With Federated AI
Reduce Cost and Deliver at the Speed of Insight
Insights Travel Faster Than Data
Why spend months and millions centralizing data when you can deploy AI directly at the source? Federated AI eliminates the costly delays of data transfers and harmonization, allowing you to accelerate AI deployment and achieve business impact faster — all while staying compliant with regulatory requirements. It’s the smarter, faster way to develop AI , outpacing traditional approaches.
The Problem with Traditional AI
Enterprises aiming to deploy AI
face significant
obstacles and costs
Local AI
• Data Scarcity: Sites lack the volume and diversity of data needed to train robust AI models.
• Duplication: Each site develops independent AI solutions, leading to inefficiencies.
• High Costs: Specialized teams at every site increase operational expenses.
Central AI
• Regulatory Barriers: Moving data to the cloud involves complex regulations and legal costs.
• Data Harmonization: Aligning data from different sites requires agreeing on standards, delaying projects and disrupting operations.
• Integration Challenges: Integrating diverse data sources is technically challenging and resource-intensive.
Both local and centralized AI approaches come with significant limitations. These obstacles often prevent AI projects from achieving their full potential, leaving organizations searching for a more effective solution.
The Best of Both Worlds
Federated AI
Train AI at the Source, Not the Expense
With Federated AI, there’s no need to move data or navigate complex regulations. AI models are trained directly where your data resides, eliminating costly transfers, data harmonization, and compliance hurdles. This means faster deployment, reduced costs, and data privacy maintained.
Collaborate Across Sites Without Moving Data
Our Federated Data Pipelines let you harmonize and leverage data across multiple locations without ever moving it. You get the diversity and scale of centralized AI, but with the security and compliance of local AI—all managed by a single, skilled team.
AI That’s Scalable, Compliant, and Profitable
Federated AI offers the scalability and efficiency of centralized AI, without the regulatory headaches. It ensures stronger models, lower costs, and faster results—so you can unlock the full potential of your data without the long delays or sky-high expenses.
Compliance and Security Without Compromise
Built to protect both your data and AI models at every step. Certified to ISO 27001 standards, our platform employs advanced security features, including encryption at rest and in transit, automated differential privacy (Auto DP), and role-centric attribute-based access control (RABAC). Katulu ensures the highest level of protection, allowing you to comply with regulations like GDPR, HIPAA, export control, and dual-use restrictions — all while enabling AI innovation.
Federated AI
The Smart Choice
Local AI
Multiple local Data Science teams
Lacking data as training is restricted to local data
Multiple local ML Models that don’t perform well
Central AI
Single Data Science team
Cost for storing and processing data within the cloud
Regulatory issues like export control and related costs
Data transfer costs
Huge Data Harmonization Projects across sites
Training of a central model
Federated AI
Single Data Science team
Federated Data Platform for intelligence across sites
Federated Data Pipeline for harmonizing data across sites
Training of a single robust model model
Federated AI is 10x more efficient
Overcome AI Barriers and Drive Results
Deliver real business impact with efficient, cost-effective AI platform that scales effortlessly.
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.
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 99,2%. This led to higher first-pass yields, streamlined quality processes, and reduced manual labor — all without disrupting their existing operations and data infrastructure.
Download the Siemens White Paper
Learn how Siemens and Katulu overcame significant challenges in PCB production using Federated Learning. This white paper provides in-depth insights into the technical implementation, results, and how this collaboration serves as a blueprint for future industrial AI projects.
Download
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 at scale, not tweak.
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