Distill Logs into Insights
Practical AI for Developers & SREs
Terminal to Production


ControlTheory Products
Gonzo
Gonzo is the popular open-source TUI that gives developers and SREs real-time log visibility for everyday use – right from the command line. Learn more…
Dstl8
Dstl8 continuously distill logs into insights across your entire enterprise, surfacing issues, impact, and root cause – powered by Möbius AI. Learn more…
Möbius AI
Möbius multi-layer, continuous AI distills logs at the edge and investigates with always-on inferencing and agents. Powers Dstl8. Learn more…
Gonzo – built by ControlTheory – is an open source, real-time log analysis TUI inspired by k9s. Analyze log streams with beautiful charts, AI-powered insights, awesome filtering – all from your terminal.
ControlTheory Dstl8 continuously analyzes logs across your enterprise — distilling noisy, costly telemetry at the edge into clear, actionable insight and root cause. Powered by Möbius, our continuous multi-layer AI that distills, correlates, and investigates in real time.

ControlTheory’s Möbius AI is the multi-layer, continuous AI inside Dstl8, that distills, correlates, and investigates in real time. Reduces raw telemetry into structured summaries of sentiment, severity, and signal flow. Across clusters, it inferences, aggregates and correlates patterns and trends. And at the agentic layer, Möbius agents analyze, explain, and learn from every signal with MCP server open access.
ControlTheory Integrations
ControlTheory integrates with all your existing log sources – distilling and analyzing all your logs directly at the edge or live tailing from your monitoring tools- from development to production.
Learn more about our integrations…















Observability, Distilled
SREs, DevOps
Find problems faster and stop digging through piles of unnecessary log data.

Developers
Get to the root cause of issues, debug, and start fixing what’s broken – get context and validation.

Cloud Security
Detect suspicious patterns early. If we see something, we say something.



