A cloud-native, Kubernetes-optimized powerhouse built for organizations that need to scale their AI capabilities from millions to billions of vectors without compromising on speed or cost-efficiency.
The world’s first cell-based, petabyte-scale vector architecture designed for the most demanding enterprise AI workloads.
Unlimited horizontal scalability and near-zero latency for massive datasets, ensuring you never hit a performance ceiling.
Embedded Engine:
Cyrock.AI Java Embedded Vector Database.
The foundational, open-source engine of the Cyrock.AI ecosystem, designed for developers who need a high-performance vector database running directly within your JVM for single-node GenAI applications. Pure-Java. No more external APIs or vector databases.
Mid-Tier Cluster:
Cyrock.AI
Vector Grid.
Leveraging EclipseStore, JVector and Eclipse Data Grid, this solution provides a robust, distributed environment for Java-native vector search, offering a perfect balance between ease of use and enterprise-grade resilience.
Vector Data Synchronization:
Cyrock.AI VectraLink –Synchronization Platform.
A specialized data integration platform that monitors your traditional databases and automatically updates your vector stores, ensuring your AI models always have access to the most current enterprise data.
Next Generation Caching & In-Memory Data Processing:
Cyrock.AI Enterprise
Cache.
A high-performance distributed caching platform that allows Java developers to manage massive object heaps using plain Java logic, transforming your caching layer from a rigid expense into a flexible, high-speed asset.
