Serving and Scaling: Enterprise-Grade Performance

At Crossing Minds, we've built a robust infrastructure layer that enables lightning-fast, real-time serving at enterprise scale.

Our serving and scaling capabilities ensure that your AI models and retrieval engines perform flawlessly, even under the most demanding conditions, across various cloud environments.

Uncompromising Performance Across Use Cases

Our commitment to performance is reflected in our robust Service Level Agreement (SLA) of 99.95% uptime. This guarantee ensures consistent and dependable service for all our real-time retrieval needs.

We handle over 130 million API requests per week, delivering instant data access with exceptional speed:

Median latency (p50): 104 milliseconds
95th percentile latency (p95): 162 milliseconds

These metrics demonstrate our ability to provide near-instantaneous data retrieval at scale, crucial for applications ranging from e-commerce recommendations to real-time content generation with LLMs.

Graphic showcasing a robust Service Level Agreement (SLA) of 99.95% uptime, ensuring reliable service for real-time data retrieval. It highlights handling over 130 million API requests per week with median latency (p50) of 104 milliseconds and 95th percentile latency (p95) of 162 milliseconds. The metrics emphasize near-instantaneous data access, essential for applications like e-commerce recommendations and real-time content generation with large language models (LLMs).

Enterprise-Grade Scalability for Diverse Applications

Our real-time retrieval infrastructure is designed to handle massive datasets and high-volume requests across various use cases:

5.56 billion user-item interactions processed
8.60 billion item embeddings generated and indexed
24,400 item catalog vector-indexes maintained

This level of scalability ensures that whether you're building a recommendation engine, a RAG system, or any other application requiring instant data access, our infrastructure grows with your needs.

Diagram illustrating real-time retrieval infrastructure capable of handling large-scale datasets and high-volume requests. It highlights processing 5.56 billion user-item interactions, generating and indexing 8.60 billion item embeddings, and maintaining 24,400 item catalog vector indexes. This scalability supports applications like recommendation engines and RAG systems, ensuring the infrastructure adapts to growing demands.

Security and Compliance

Our infrastructure is SOC 2 Type II compliant, demonstrating our commitment to safeguarding data and maintaining the highest standards for security, availability, and confidentiality.

This compliance ensures that our real-time retrieval capabilities not only perform at the highest level but also adhere to stringent security protocols.