Most drone shops are a laptop
and good intentions.
Atlas is a stack.
We spent the time before our first mission building the operational layer most operators never build at all — local AI, autonomous daemons, a mission control dashboard, and a nightly red-team framework that attacks our own system while we sleep. Your data never touches the public cloud. Our work never depends on anyone else's uptime.
Helios — our control room
Every daemon, every active alert, every dollar of cash on hand, every unread question the system wants us to answer — one screen. Built from scratch so we actually look at it, not because a vendor told us to.
Five processes running while we sleep
Each one does a single job and reports into Helios. Named for Greek mythology because the job descriptions happened to match.
A screen-observation daemon. Captures what's on the ops workstation, runs local OCR and a local vision-language model against it, and builds a searchable history of what we were working on and when. Never transmits image data. Never sees a client site we didn't open ourselves.
A global-hotkey recall layer on top of Lynceus. "What was I looking at last Tuesday morning?" answered in milliseconds by querying local screen history. No cloud round-trip, no account to sign into. Works even with the router unplugged.
The communication layer. Drafts outbound messages in a calibrated voice, triages inbound email, queues every send for human review. No message reaches a client until a human clicks approve. Tone tuned from a shared voice document, not a frozen prompt.
A nightly red-team framework that attacks our own stack — prompt injection attempts, tool-abuse patterns, the things an adversarial user might try. Runs while we sleep, reports pass/fail every morning. We find the holes before someone who doesn't work here does.
An on-prem Ollama fleet running custom models tuned for our work. Every daemon above routes its inference through Hermes. Cloud APIs are optional, never required. Client imagery and site data never cross the network perimeter unless we explicitly approve it.
The dashboard pictured above. Every daemon reports into a single Tauri + React control room we look at every morning. Not a SaaS product. Not someone else's cloud. Just the window we use to run the company.
Why we build it this way
Four rules we keep coming back to. They cost more to uphold than to ignore, which is exactly why we uphold them.
Local-first by default
Your imagery, your site data, your property models — none of it goes to a cloud we don't control unless you explicitly ask us to put it there. The default answer is on-prem. This costs us flexibility and makes some problems harder. It also means we can't leak what we never uploaded.
Human-in-the-loop on every send
Argus drafts client communications. A human approves or denies every one before it ships. The AI is allowed to have opinions. It is not allowed to have final say on anything that reaches a customer. Same rule for deliverables. Nothing goes out without a human signature.
Observable, not ad hoc
If a daemon runs, it reports into Helios. If a mission happens, it's logged. If a deploy goes out, it's recorded. Nothing in the operation is tribal knowledge that only exists in one person's head. Repeat scans are repeatable because the whole pipeline is instrumented.
Red-teamed against ourselves
Aegis attacks our own stack every night with adversarial prompts, tool-abuse patterns, and the kind of malformed input a real attacker would try. We'd rather find the holes when nobody's watching than during a live mission. A system nobody attacks is a system nobody trusts.
FAA Part 107 Study System
We built a full Part 107 study course and adaptive daily drill using the same principles — local, instrumented, observable. We're sharing both free. If the study system works for you, imagine what the mission stack can do for your site.