We use AI to build software — fast. Then we ship it with no AI at runtime: deterministic, auditable, and dependency-free. You get the velocity of AI development without betting production on a model.
The name has AI in it. The software doesn't. We treat AI as a power tool for building — not as a runtime dependency you pay for, wait on, and can't fully trust. What ships is plain, fast, legible code.
No per-token billing that scales with traffic. Predictable to run.
Nothing ships off to a third-party model. Your data stays yours.
Explainable, testable, repeatable. The opposite of a black box.
No model latency, no API to be down. It just runs.
Anyone can prompt a model. Getting it to produce software that actually holds up — and knowing the moment it hasn't — is a different craft. We're seasoned software engineers, architects, and product managers. We've built and operated real systems in production, so we know what "good" looks like, how to specify it, and how to inspect what comes back.
Architects and product managers define what good means up front — the contracts, constraints, and edge cases — so the AI builds against a real spec, not a vibe.
Engineers drive the model in tight loops against that spec — decomposing the work, keeping it honest, and catching the wrong turn early.
Every output is read, tested, and reviewed to professional standards. Inspection is the discipline that separates quality from merely plausible — and it's the part AI can't do for you.
That's the bet: AI's speed, professional judgment, and people who can tell the difference. What ships is clean code that owes nothing to a model once it's running.
Our first product is the thesis made real: built with AI, runs with none.
nanny investigates alerts, writes the ticket, holds back the blips that self-heal, and pages a human only when one is genuinely needed — with a full audit trail. Built with AI; runs in a no-LLM mode that gathers evidence and pages deterministically.
Turns a service into a production OpenShift deployment — a Helm chart shipped GitOps-style via Argo CD, with managed Postgres (CNPG). Push-button, auditable releases.
A triage assistant for issue queues: surfaces similar past tickets, flags customer impact, and routes the alert to the right people — deterministic search, no model required.
A k9s-style terminal console for OpenShift — browse projects, pods, deployments, routes and logs at the speed of touch-typing, straight from your shell. One static Rust binary, no runtime, reads your existing kubeconfig.
A bench of expert systems that replace recurring human toil — each one fast to build with AI, and dependency-free once it ships.
Continuous config & drift guard — catches the unsafe change before it ships and explains exactly what moved.
Automated post-incident analysis — reconstructs the timeline, names the root cause, and writes the blameless report.
Dependency & license gatekeeper — inspects every package crossing the border and stops the ones that don't belong.
Synthetic-probe monitoring — exercises the real user paths on a schedule and trips early when one breaks.
On-call routing brain — knows who owns what, who's awake, and walks the chain until someone actually answers.
Access-request reviewer — checks each grant against policy, approves the obvious, and flags the rest for a human.
Secret & credential rotation on autopilot — rolls keys on schedule, verifies the cutover, and never leaves a stale one.
Cloud cost & cruft sweeper — finds the orphaned volumes, idle boxes, and forgotten resources, then proposes the cleanup.
Compliance evidence collector — gathers the proof for your audit continuously, so the next one isn't a fire drill.
Data-quality watchdog — validates pipelines against expectations and quarantines bad data before it poisons reports.
Release-readiness checker — verifies tests, migrations, and rollback paths are in place before the deploy goes out.
Account-health watcher — compares usage against what's provisioned to flag shelfware, and surfaces the declines, payment failures, and go-quiet patterns that signal a renewal at risk. Plain thresholds and trends, no model guessing at your pipeline.
Want software with AI's speed and none of its runtime baggage? That's the whole point.
hello@innovai8.us