Observability Costs Are Out of Control

ControlTheory builds the "Observability Control Platform" — a layer on top of existing tools like Datadog, Grafana, and Prometheus that gives engineering teams active control over telemetry data. As cloud and AI workloads explode, observability costs have spiraled out of control, with many enterprises facing six- to seven-figure annual bills.

What They're Building

The platform delivers cost control through intelligent filtering and aggregation, operational control via enhanced root cause analysis and proprietary "Meta-Metrics," and adaptive control using Elastic Telemetry Pipelines with dynamic feedback loops. Built on OpenTelemetry, the CNCF-backed open standard, ControlTheory integrates seamlessly with existing observability stacks without requiring teams to rip and replace their current tools.

Traction & Open Source

ControlTheory also released Gonzo, an open-source terminal UI for real-time log analysis that has earned 2,000+ GitHub stars. The company launched publicly at KubeCon EU 2025 and raised a $5M seed round. Early customers report 35%+ reduction in observability costs. Austin-based and founded in 2024, the team brings decades of experience from prior observability ventures.