Scalytics was founded by two Phd’s and Cloudera big-data experts who experienced firsthand the challenges of securely managing decentralized data. Recognizing the struggle to unify and analyze data across fragmented sources, they created Scalytics Connect —a powerful federated learning platform.
Scalytics mission is to become the leading framework for federated and explainable AI—empowering enterprises to build secure, scalable, and transparent machine learning systems.
What is Scalytics Connect?
As data continues to grow exponentially, traditional machine learning systems face critical challenges in scalability, privacy, and compliance. Centralizing vast amounts of sensitive data is resource-intensive and often incompatible with modern regulations. Federated Learning (FL) offers a decentralized alternative that enables organizations to build scalable, transparent, and secure AI systems.
Scalytics Connect acts as a unified system without the need to move data around, thereby maintaining data privacy and regulations.
Designed for enterprises, it ensures seamless data integration, complete control, and transparency, empowering organizations to build secure, explainable AI.
In other words: Scalytics Connect seamlessly integrates with leading databases, data lakes, and data silos like Databricks Delta Lake, Apache Spark, Snowflake, Teradata, Parquet, Iceberg, Hudi, Hadoop, S3, and TensorFlow.
Federated learning trains AI models on diverse data sources while maintaining data security and privacy. It enables collaboration between organizations without sharing sensitive data, allowing AI algorithms to learn from wider data. This approach revolutionizes industries by developing more accurate and generalizable models.
Scalytics is an OpenSource project and is the enterprise distribution of Apache Wayang. Utilize advanced distributed computing frameworks and a multi-agent LLM approach to create cutting-edge AI solutions with ease. Focus on developing real-time AI applications while we handle the infrastructure and complex integrations.
