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Modern engineering teams deserve tools that match the pace but reduce the complexity of the systems they run. At ControlTheory, our mission is to give developers and SREs clarity and confidence, not dashboards full of guesswork. With Continuous AI that distills signals into understanding, we help teams detect issues sooner, explain incidents faster, and stay focused on building what matters.

That’s because we believe there’s a better way, one rooted in clarity over volume.

Observability, Distilled

Traditional observability collects everything first and tries to make sense of it later, a top-heavy model that forces teams to carry the burden of cost, scale, and complexity. ControlTheory inverts that triangle: we analyze telemetry at the edge – where it’s created – distilling signals into a compact, contextual format that AI can actually use, correlating it and only sending forward what delivers insight.

This provides the continuous context that modern AI systems require to stay accurate and helpful. By optimizing telemetry to fit the context windows and real-time input needs of Continuous AI, we enable intelligence that’s always on and always useful, helping teams work smarter, faster, and far more efficiently, with clearer understanding, faster resolution, and dramatically less noise.

Practical AI: From Terminal to Production

Practical AI – that’s why we created Gonzo, the fast-growing open-source TUI that gives developers real-time log visibility right in their terminal. And it’s why we built Dstl8, our AI-powered observability distillation enterprise solution. Powered by our Möbius Continuous AI, multi-layer platform, Dstl8 connects patterns across services and environments and explains incidents in plain language, so teams instantly understand what changed, why, and what to do next.

Our vision is a world where operational intelligence is continuous, adaptive, and developer-friendly by default.

Because in the end, control doesn’t come from collecting more data, it comes from understanding what matters.

“In control theory, the observability and controllability of a linear system are mathematical duals.”

Professor Rudolf E. Kálmán

Father of Modern Control Theory

Our Team

We are a team of observability veterans with a track record of successful startups—including StackEngine (acquired by Oracle Cloud) and CopperEgg (acquired by Idera). As founders, we have built and introduced innovative and disruptive technologies at Hyper9, nLayers, Airbrake, Turbonomic, SMARTS, and Packeteer, plus IPOs and acquisitions by Oracle, Logic Monitor, EMC, VMware, and SolarWinds

ControlTheory delivers Continuous AI for observability, turning noisy telemetry into clear, actionable insight for developers and SREs. Our Observability Distillation products analyze and summarize telemetry at the edge, correlating patterns across clusters, and explaining incidents in plain language. The result is faster resolution, lower cost, and dramatically less operational complexity. Backed by $5M in seed funding from Silverton Partners, ControlTheory is building the next generation of practical AI for engineering teams.