Clear skies by design.
AI & Cloud infrastructure consulting for teams who'd rather not find out the hard way. We find the pain in your stack, clear it, and teach your people to fly it without us.
Most cloud and AI problems aren't disasters. They're like weather: small changes nobody noticed, until the bill or the outage lands.
We're the briefing you get before the problems start, not the incident report after. Our whole job is making sure there's nothing interesting to report.
Five points, then we leave.
Every engagement is different but flies a similar route. The destination is a team that doesn't need us anymore.
Listen
STATE: you talk, we take notesWe sit down and hear your perspective first. We focus on finding the pain and friction in your day-to-day activities that slow you down. We're here to ask the questions you haven't gotten to yet.
Observe
STATE: hands on the controlsWe watch the actual work being done: the deploys, on-call, the spreadsheet someone quietly maintains. We'll read the architecture diagram, but focus on your work itself.
Diagnose
STATE: weather identifiedYou get a short and ranked list of what's actually costing you; in terms of finances, velocity, and trust. No jargon for its own sake and never making anyone feel behind.
Correct
STATE: flying the fixWe fix it or build it, in your repos or infrastructure with your team on the controls, not a PDF of recommendations you'll file under "someday".
Handoff
STATE: "you have control"We train your team and offboard ourselves. "You have control" is what a pilot says when handing over the aircraft, and it's also our exit criteria. If you need us in a year, we did it wrong; but if you want us in a year, we'll be there.
Two solutions, getting ready for you.
The things we kept rebuilding for clients, productized for founders who'd rather get it right the first time.
The whole company, built to spec. GitLab repos, an AWS organisation with SSO, dev / prod / internal accounts with cost roll-up, monitoring wired on day one. The next step up from one-click hosting, so the foundation is in place before you scale.
A fleet of Kubernetes-native AI agents that hooks into Fundament (or your existing infra) and puts a crew on the work nobody enjoys: tech-debt, cost clean-up, and more. Every agent runs on models you choose or host, and control never leaves your network. Full traces, token-optimized MCP servers and prompts, and budget guardrails; optimal output without a token bill that puts you on the leaderboard.
Things we learned the expensive way.
Most of these start as one client's problem we couldn't stop thinking about, written up so the next person doesn't have to repeat it. Occasional, and free of the usual cloud-vendor noise.
Vibe coding without the vibes: AI-driven development
Handing an agentic AI a real AWS project like a junior dev — the guardrails, the standard SDLC flow it thrives on, the struggles, and what the whole experiment actually cost.
READ →Securely managing AWS infrastructure without passwords, with GitLab
Kill static keys for good: GitLab OIDC issues each CI job its own short-lived JWT to assume an AWS role. Setup, a variable-interpolation hack, and full traceability back to the contributor.
READ →Tell us where you're trying to go.
And where it hurts. Most good flights start with a basic question to the tower, and we don't mind answering it.