About ControlTheory

The Runtime Feedback Loop for AI-Speed Engineering.

AI coding tools collapsed the SDLC. Code that used to take weeks ships in minutes, across deployment chains that are fast to assemble and hard to operate. That’s opened a runtime context gap: what’s running grows by the day, while what any one developer actually understands about it shrinks.

YOU ORCHESTRATE THE AGENTS

From Vibe Coding to Agentic Engineering.

The runtime feedback gap hits hardest in agentic engineering – where you orchestrate the agents that write and ship the code instead of writing every line yourself. The build loop is solved. The runtime loop isn’t. When something breaks in production you didn’t write the code, didn’t configure the infra, and have nowhere to start – and every failure turns into a rabbit hole that kills the flow the agents just gave you.

ControlTheory closes that gap. Always-on analysis across the full deployment chain – Kubernetes, AWS, OpenTelemetry, Vercel, Supabase, Railway, – correlating issues across stacks and feeding the runtime context back into where you already work: Claude Code, Cursor, Copilot. No context switching. No rabbit holes. We do the hard, time-consuming parts: detecting the unknown unknowns, then finding the cause. We zoom in on the fixes we can see and work with your agent to close the loop.

THE RUNTIME LOOP

How it works

The hard part isn’t watching telemetry. It’s turning a flood of it into something an agent can act on, fast and cheap. Three things make that work:

Telemetry Distillation at the edge. We analyze telemetry where it’s created and distill it into a compact, contextual form – correlating first, forwarding only what carries signal. It’s what fits runtime reality into an agent’s context window instead of drowning it, and it’s where the name Dstl8 comes from.

A runtime knowledge graph. Distilled signal feeds a graph of your services, deploys, and failures – so issues are correlated across stacks and over time, not handled one log line at a time. The longer it runs, the more it knows about your system.

A model tuned for runtime. Möbius runs on our own fine-tuned model, built for root-cause reasoning over distilled runtime context – not a general chatbot pointed at logs.

Together that’s the loop: distill it, connect it, reason over it, hand the cause back to your agent.

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Enterprise · Möbius AI

Dstl8

The runtime feedback loop for the AI SDLC, powered by our Möbius agent: detects the unknown unknowns, finds the cause, and works with your coding agent to close the loop. Pro, Scale, and Enterprise.

14-day free trial

brew install control-theory/dstl8/dstl8 && dstl8 setup

Open Source · TUI

Gonzo

The open-source terminal (TUI) for log analysis and runtime triage. Stream logs from Vercel, Supabase, Railway, Render, Kubernetes, OTLP, CloudWatch, Loki, or local files.

brew install gonzo

“

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

Builders of What's Next.

We're developers. We built the thing we wanted — runtime that talks back to the people and agents that wrote the code. We're a team with a track record of successful startups and exits, building the next generation of runtime feedback for engineering teams.

The feedback loop between AI code and runtime reality.

We’re a team of builders and operators behind successful startups — including StackEngine (acquired by Oracle Cloud) and CopperEgg (acquired by Idera). As founders, we’ve built and introduced disruptive technologies at Hyper9, nLayers, Airbrake, Turbonomic, SMARTS, and Packeteer, with IPOs and acquisitions by Oracle, LogicMonitor, EMC, VMware, and SolarWinds.

◆ Backed by $5M in seed funding from Silverton Partners

Investors & Advisors

In Good Company.

Silverton Partners

Lead Investor · Seed

Chris Aniszczyk

CTO, Cloud Native Computing Foundation

Josh Stephens

Builder, Operator, Investor · Former Head Geek, SolarWinds

Careers

Build it with us.

We’re hiring across go-to-market and engineering. Come help build practical AI for the teams shipping the next generation of software.

Deman Gen

SDRs

Devs

DevRel

Control comes from understanding

In the end, control doesn’t come from
collecting more data.

It comes from understanding what matters. See what Dstl8 surfaces — free for 14 days.

// No credit card · No sales call · 3-min setup