In the $30B observability market, enterprises bleed money on noisy telemetry data. Sawmills is the first AI-powered platform that doesn't just collect logs—it actively refines them in real-time, cutting costs by 40-70% while improving data quality. This isn't another dashboard; it's an AI agent that optimizes itself.

"Sawmills doesn't just monitor your systems—it actively optimizes the data itself, turning telemetry chaos into clean, cost-effective insights."

The platform's approach is brutally pragmatic: instead of adding another monitoring layer, it acts as an intelligent filter between your infrastructure and your storage. Built on OpenTelemetry, Sawmills uses machine learning to understand what data matters and what doesn't, dynamically adjusting sampling rates and compression based on anomaly detection. It's like having a data scientist permanently optimizing your telemetry pipeline.

• AI-powered real-time log transformation: unstructured → structured without manual parsing rules
• OpenTelemetry-native architecture: no vendor lock-in, fully compatible with existing stacks
• Dynamic sampling: intelligent data reduction that preserves critical signals
• Cost anomaly detection: alerts before observability bills spiral out of control