Real-Time AI Inference On Live Production Data
Silk enables real-time AI inference – without destabilizing production systems or driving up cloud costs.
Real-Time AI Breaks at the Data Layer
AI inference creates sudden, unpredictable demand against the same systems running mission-critical applications. Traditional infrastructure often responds with latency, contention, or costly overprovisioning.
Real-Time AI, Without Disruption
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Run AI on Live Production Data
Give AI models access to current, enterprise data without relying on stale replicas or delayed pipelines.
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Keep Latency Predictable
Maintain consistent response times even as inference demand spikes and usage scales.
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Protect Production Workloads
Maintain target performance across AI, analytics, and transactional applications so critical systems remain stable.
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Reduce Replicas and Pipelines
Eliminate costly copies and heavy workflows by giving AI access to live production data.
Go Deeper on Real-Time AI
Explore practical guidance, technical insights, and expert perspectives for running AI inference on live enterprise data.
See How Real-Time AI Works at Enterprise Scale
Learn how to run AI inference on live operational data without disrupting production systems.
Prepare Your Architecture for Real-Time AI
Hear from Silk and Microsoft experts on the infrastructure requirements behind production-ready AI inference.
Learn How to Support AI Inference in PTC Windchill+
See how Silk can accelerate AI innovation while reducing data and infrastructure risk.