We’re an AI solutions studio. We ship code, not decks.
QNTX AI Ops is a small team of engineers who design, build, and run productized AI solutions. Three tiers, real pricing, working systems. No retainers for vague “advisory.” No statement-of-work theater. The deliverable is the deployed system.
$25 – $250
Starter Solutions: ship in days, not quarters
$250 – $400
Pro Solutions: production-grade, monthly
Custom
Embedded engineering pods for ambitious roadmaps
Origin
QNTX was founded by engineers who’d spent years inside Stripe, Anthropic, and Ramp shipping production systems — and then spent a few months as consultants watching $400/hour PowerPoint decks get delivered in place of working software.
The pattern was the same everywhere. A six-figure engagement would land, three months of “discovery” would happen, a slide deck with the word “roadmap” in the title would change hands, and the client would still be months away from a deployed workflow. The work wasn’t the system. The work was the deck.
We started QNTX to invert that. The work is the system. The deck, if there is one, is a screenshot of the dashboard. And because the same five or six AI workflows show up at almost every company we’ve talked to, we productized them — fixed price, eval suite included, monitoring on day one.
For everything that doesn’t fit a productized shape, our Custom tier embeds 1–4 senior engineers with your team and ships into your repo.
Why we productize
Three reasons we sell pre-scoped solutions instead of open-ended consulting.
01
Pre-scoped solutions ship faster
Open-ended consulting starts every project at zero. A productized solution starts at “we’ve shipped this fifteen times, here’s the eval suite.” That’s the difference between weeks and quarters.
02
Fixed price aligns incentives
Hourly billing rewards slow thinking. Productized pricing means we eat the cost of our own learning curve — and we’re motivated to ship the version that works the first time.
03
Productization compounds
Every Custom build feeds back into the Starter and Pro catalog. The eval harness we wrote for one client becomes the harness every Pro client gets on day one.
What we believe about shipping AI
Five principles that show up in every solution we ship.
Evals before features
An LLM workflow without an eval suite is a demo, not a product. Every solution we ship has measurable accuracy gates that block prompt changes from reaching production.
Monitoring is part of v1
Cost-per-call, drift detection, and hallucination alerts ship in the first deploy — not in the “phase two” that never happens.
Prompts in version control
Every prompt is a code artifact: PR-reviewed, diffable, rollback-able. No prompts pasted into admin panels. No tribal knowledge in someone’s notes app.
Real-world cost guardrails
Hard token budgets and per-tenant rate limits ship with the system. The first time a workflow tries to spend $400 on a single retry loop, it gets stopped automatically.
We ship code, not decks
The deliverable is the running system: the repo, the deployed endpoint, the dashboard, the runbook. If a slide deck is part of the engagement, it’s an artifact, not the product.
Meet the engineers
Four founding engineers from Stripe, Anthropic, and Ramp. No subcontracting, no junior staffing, no offshore handoff. The engineer who scopes the work writes the code.
See what we’ve productized.
Eleven solutions across Starter, Pro, and Custom. Pricing on every page. Eval suites and monitoring included. If something close to what you need is in the catalog, you’ll be running it within the timelines listed.