The client's application.
AI as a Service. A fully managed AI infrastructure.
Scalytics Connect is a privacy-compliant platform for federated learning and agent-based AI that enables companies to train AI models in a decentralized manner without the need to centralize sensitive data. It supports compliance with data protection regulations such as the GDPR while offering scalability and transparency.
Scalytics Connect is used across various industries, including healthcare, finance, retail, and public services. For example, retailers can use the platform to create personalized customer experiences without compromising customer privacy.
Insights into Scalytics' privacy-compliant AI platform:
Project Objectives and Challenges
The goal was to implement a comprehensive, highly privacy-focused AI solution with full control over data flows, infrastructure, and model processing — without compromising on scalability or performance.
Requirements:
Meeting stringent requirements regarding GDPR, data sovereignty, and operational security.
Why Scalytics relies on Cloud&Heat:
The key factors were technical flexibility, access to modern GPU infrastructure, and a focus on security, data protection, and personalized support.
About Scalytics:
Scalytics was founded by two PhD scientists and two former big data experts from Cloudera, who saw the same problem everywhere: managing decentralized data securely is challenging, and the old approach of centralizing everything simply doesn't work. Data silos, fragmented systems, and outdated paradigms hinder innovation and make it nearly impossible to develop great AI.
Scalytics developed Scalytics Connect to change that. It is an enterprise-grade framework for unsupervised federated learning and traceable (and future explainable) AI, making data accessible across systems without compromising control, security, or transparency.
Customer Voices:
