Run Real-Time AI on Live Production Data — Without Breaking Performance
Silk lets AI inference engines safely query live production databases with extreme performance, predictable latency, and no risk.
AI in Production — Without Tradeoffs

Real-Time AI on Live Data
Feed RAG pipelines and agentic AI with live production data without ETL delays or stale copies, improving model accuracy and business outcomes.
Feed RAG pipelines and agentic AI with live production data without ETL delays or stale copies, improving model accuracy and business outcomes.

Predictable Performance Under Any Load
Absorb bursty inference workloads with consistent sub-millisecond latency and no surprise cost escalation.
Absorb bursty inference workloads with consistent sub-millisecond latency and no surprise cost escalation.

Eliminate Overprovisioning Costs
As inference becomes 60-70% of AI compute spend, Silk delivers up to 10x performance gains while cutting infrastructure costs.
As inference becomes 60-70% of AI compute spend, Silk delivers up to 10x performance gains while cutting infrastructure costs.

Simplify Your Architecture
Remove the need for replicas, caching layers, and complex pipelines — run AI safely alongside mission-critical applications.
Remove the need for replicas, caching layers, and complex pipelines — run AI safely alongside mission-critical applications.
Sentara’s AI Initiative Is Enabled By Silk’s Faster Performance and Reduced Cloud Costs