DevOps rescue for a SaaS scale-up
Deploys that take days and break on Fridays. We'd rebuild CI/CD in a 4-week rescue: automated tests, staging, one-command rollbacks — rehearsed before launch.
engineers hired for current fluency — nobody learning on your budget
fixed-scope pilots — the price doesn't move unless you change it
days from free AI audit to a costed roadmap
unreviewed AI publishes — a human approves every word that goes out

How we hire
The industry sells years of experience as quality. But the engineers shipping the best AI systems today aren't the most tenured — they're the most fluent: agents, evals, modern stacks. We hire for what engineers ship now.
Current-stack fluency is the hiring bar. Tenure no longer proxies competence — fluency with today's tooling does.
Fluency wins speed; judgment keeps systems alive at 3am. Every build ships with evals, monitoring, and a runbook.
No bait-and-switch, no handoffs. Named engineers on your kickoff call, vetted by a paid production-style review.
// Production stack
Not slideware — the infrastructure, data, and automation tooling our engineers run in production every week.
Hosted and self-hosted model serving, tuned for cost and latency.
Retrieval pipelines over your docs, with eval harnesses that catch drift.
Production clusters with GitOps deploys and autoscaling that behaves.
Cloud architecture, hardened IAM, and spend kept under control.
Infrastructure as code, reviewed with the same rigor as app code.
Embeddings at scale — tuned recall, sub-100ms search.
Multi-agent workflows with human-in-the-loop gates where it matters.
What we do
Every engagement starts the same way: a free audit that finds the highest-value work. Then engineers fluent in the current stack do it right.
Free AI audit
Seven days. We scan your workflows, measure the manual hours, and hand you a costed automation roadmap. Yours to keep — even if you never hire us.
Try it — 20 seconds
Question 1 of 2
How we work
Four steps from first call to handover. You see working software every week — never a status deck.
We map your three biggest automation wins in 7 days. The roadmap is free and yours to keep.
Scope, price, and timeline in writing before we write a line of code. No change-order games.
Demo every Friday in your time zone. You approve direction while it's cheap to change.
Docs, training, and 30 days of support. Your team owns everything after we leave.
Engagement blueprints
Engagement blueprints from our senior team's shipped work — how we'd run these engagements for you. The full playbook, phase by phase, is on the Work page.

Engagement blueprint · AI automation
A five-person marketing team producing good content — but each asset takes weeks from brief to published, and the backlog of unwritten topics keeps growing. We'd build a pipeline grounded in their documents, with human approval on every publish decision.
Deploys that take days and break on Fridays. We'd rebuild CI/CD in a 4-week rescue: automated tests, staging, one-command rollbacks — rehearsed before launch.
Client work running on infrastructure nobody owns. We'd harden everything and take ownership — patching, monitoring, tested backups, response times in writing.
The one case study that's real: the supervised pipeline that runs this site's content. Live since September 2026 — a human approves everything, a named engineer keeps it honest.
The standard
MIT’s 2025 GenAI research found ~95% of enterprise pilots show zero measurable P&L impact — most were built to demo, with no named owner after launch.
“Anyone can demo an AI workflow. We build the kind that survives production — evals before launch, a human approving every publish, and a named engineer on call.”
Senior delivery
You're not buying our learning curve. The engineers who scope your engagement are the ones who build it — senior people, named on your runbook, on call when it matters. Fixed pricing, production-grade methods, and a playbook we run the same way on our own systems — because we do.
Delivery model
We shift our working hours to yours. Standups happen in your morning, not your midnight — full overlap with your business day, wherever your team sits.
Engagement models
Start free. Scale when the numbers make sense. Every model runs on engineers fluent in today’s stack.
Free
Seven days. Three automation wins. One costed roadmap.
Monthly · pause anytime
Engineers fluent in modern tooling, embedded in your team, on your backlog.
Fixed quote
We own the outcome end to end. You approve milestones.
Fit check
We will tell you on the first call if we are not the right team. Here is the short version, up front.
FAQ
Automation guesses are expensive. We spend seven days measuring your actual workflows, then hand you a ranked, costed roadmap. You keep it either way — if the audit doesn't change how you see your workflows, we've done it wrong.
Engineers hired for current fluency. Every engineer passes live coding, system design, and a paid trial project before touching your systems. The people you meet on the first call are the people who do the work.
Our working hours are shifted to cover your workday. Standups land in your morning, questions get answered same-day, and Friday demos run live — never as a recording.
You get a fixed quote after the audit — no hourly meters running. Most pilots ship in 4–6 weeks, and we size them so the first win covers the pilot's cost.
Free · 7 days · yours to keep
Get the free AI audit. Seven days, three wins, one roadmap — yours to keep.
No sales calls. No obligation. No junior handoffs.