Private by design
Local and private inference, with clear boundaries around where your information goes.
ALL OUT OF BUBBLEGUM LLC
We connect applied AI, local compute, governed automation, and custom hardware to turn expensive workflows into measurable systems.
Design around the work. Understand the constraints. Make every part work together.
Private models. Governed agents. Evidence, observability, and a deliberate path from request to useful work.
Explore applied AICustom simulator systems, hardware integration, event deployment, and software built for the cockpit.
Explore simulationSubscriptions multiply. Pilots stay disconnected. The impressive demo never quite becomes a dependable workflow. We begin with what happens, how often it happens, what failure costs, and how success can be measured.
A system should show its work, respect its boundaries, and know when to ask a human.
Local and private inference, with clear boundaries around where your information goes.
Bounded workflows with explicit permissions, ownership, and human checkpoints.
Retrieval that keeps the source, context, and reasoning within reach.
Local, cloud, and hybrid routing with deliberate fallback paths.
Token, cost, and performance observability built into the workflow.
Human approval before consequential actions. A clear record afterward.
REPORTED WORKLOAD / ARCHITECTURE NOTE
Agent loops can reread a growing history again and again. A reported local workload shows why context, routing, and observability belong in the design from day one.
Inspect the numbers and their limitsAOG SIMULATION ENGINEERING
From the frame to the final feedback loop: simulator design, displays, controls, haptics, networking, and the operational details that make the whole experience work.
From components to a complete systemPit strategy without fighting the mouse. A developing iRacing pit-assistance concept built around deterministic telemetry and explicit pit plans. The optional AI layer explains and advises.
Explore the design and release gatesThe value is in the workflow—not the number of models, nodes, or agents inside it.
Map one expensive workflow: frequency, friction, risk, and what success would look like.
Define the boundaries, build the smallest useful system, and keep a human in control.
Compare time, quality, cost, and failure modes against the starting point.
Scale what proves useful. Improve what the evidence says needs work.
THE PERSON BEHIND THE SYSTEMS
Darien Fleming brings aircraft systems, avionics, custom hardware, and high-fidelity simulation experience to applied AI. The throughline: verify the signal, control the failure modes, and make the result useful to its operator.
Meet DarienLESS GUESSWORK. MORE USEFUL WORK.
If a process is frequent, costly, repeatable, and measurable, let’s find out what a better system could do.