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Every AI dev shop builds you a demo and hands you an infrastructure problem. Every cloud shop runs infrastructure but cannot build the AI. Cloudacio does both halves: we build the product and we run it in your cloud, secured and cost-controlled.
No pitch. The scorecard is free, and the only fixed price on this page is the sprint.
Questions first? Talk to Riley, our AI front desk: live in your browser, or by phone at +1 267 460 7396.
SaaS companies trust Cloudacio to take AI from demo to production.
Of AI inferences a day in
TrueClaim's claims pipeline
Exam-day traffic surges
absorbed for Mereos
In AWS credits a qualifying
startup can put toward the build
The AI feature ships, and then the meter starts: every new user adds inference spend, the model bill grows every month, and nobody set a ceiling. By the time finance asks, it is an architecture problem.
Most AI projects die between the demo and production: no security review, no monitoring, and no plan for when the model misbehaves. The gap is engineering, not ideas.
Much of what's sold as an AI product is a thin wrapper around someone else's model, priced like a product. You deserve an honest feasibility read before you pay for a build.
You know what AI should do for your product: a copilot, document extraction, forecasting. You have no one to build it, and hiring takes six months you do not have.
Someone built you a proof of concept and it works in a notebook. Now you need security, cost control, monitoring, and scale, and the people who built the demo are gone.
You shipped an AI feature and the model bill grows every month, with no monitoring and no ceiling. We put the cost controls and observability around it that production demands.
We find the use case, prove it, build it, and run it in your cloud. Your engineers keep shipping. You get the product.
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A 30-minute call with a senior engineer, and your AI Use-Case Scorecard in writing: which use case is worth building, and an honest feasibility read before anyone writes a line of code.
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Two weeks, $5,000 fixed. We select the use case, prove technical feasibility, design the architecture, and project model and infrastructure costs. You get a build plan with real numbers.
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A product squad builds the AI product in your cloud: models, pipelines, application, and the security and cost controls production demands. Scoped from your build plan, never off a price list.
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Launch is the start. AI Cloud Ops runs what we built: monitoring, cost control, incident response, and a named engineer who knows the system because we built it.
What the sprint covers, how the four phases run, and how the build gets scoped.
See how candidates get scored against your data and product.
From opportunity call to a build plan with real numbers.
Scoped from your plan as a monthly squad, never off a price list.
We rank your candidate use cases against your data, your product, and likely ROI.
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We prove the risky parts early and design the architecture for your cloud.
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Model selection with projected build and run costs, ceilings included.
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Real numbers, real scope. The build starts only if you approve it.
"Their in-depth knowledge of AWS and AI technologies helped us revolutionize the insurance appraisal process."
"They helped us design and implement a scalable and secure architecture that leveraged cutting-edge AI technology to ensure the integrity of our assessments."
"6pillars, the AI system behind our $3,500 infrastructure audit, is ours. So is Riley, the agent answering this site right now. We sell what we use."
AI shops hand you code. We hand you a running product: models, pipelines, application, and the cloud underneath, secured and cost-controlled. One team owns both halves, so nothing falls in the gap.
We rebuilt how we operate: agents run our sales, delivery and operations, and 6pillars, the AI system behind our $3,500 infrastructure audit, is ours. No slideware, a working operation.
The sprint runs two weeks from kickoff to a build plan with real numbers, and the build is scoped before a dollar of it is spent. If a launch date matters, tell us the deadline. We'll tell you if we can hit it.
Your candidate use cases scored by likely ROI against your data and product, before any code.
The risky parts prototyped early, so the build plan stands on evidence instead of optimism.
Current and target state, drawn for your stack, your data, and your team.
Which models, what they cost to build and run, and where the ceilings sit.
How your data is used, protected, and kept in your cloud, from day one.
Real numbers, real scope, yours to keep. The build starts only if you approve it.
| Option | Their promise | The reality |
|---|---|---|
| Build it in-house | $250K+/yr per AI hire | Six months to hire, and one hire rarely covers product, models, and infrastructure. |
| AI dev shop | $50K+ per build | You get a demo and an infrastructure problem. Running it in production is your job. |
| API-wrapper agency | Product prices for a wrapper | Someone else's model with a thin UI. You find out in production. |
| Cloud consultancy | $250–$350/hr, open SOW | Runs infrastructure fine. Cannot build the AI half of your product. |
| Cloudacio | Free scorecard, $5K sprint | We build the AI product and run it in your cloud. Both halves, one team. |
Most AI budgets die on the wrong use case. The sprint costs $5,000 and exists so the six-figure build happens on the right one, with an architecture and a cost model you have already seen. The build itself is scoped from your plan, never off a price list.
A 30-minute call with a senior engineer, then your candidate use cases ranked by ROI and feasibility, in writing.
No commitment, no billable work.
Get your free scorecardRun by the senior engineers who will build it. Two weeks from kickoff to a build plan with real numbers: use case, architecture, models, and costs. The plan is yours to keep, whoever builds it.
No build starts until you approve the plan. The sprint is the only fixed price on this page.
A product squad builds it in your cloud, scoped from your build plan as a monthly engagement. Never priced off a list, because no two builds are the same.
Scoped after the sprint.
Ask about the buildAWS funds qualifying AI builds: partner funding may offset the sprint, and AWS credits, $1K to $100K depending on stage and spend, can carry the model bill, Claude on Amazon Bedrock included. Whether your company qualifies is checked on your free scorecard call.
Testimonials
What founders and CTOs say about working with Cloudacio.
FAQs
Here’s everything you need to know before booking your
call.
We’ll meet for 30 minutes to understand your product, your data, and what AI should do for you. You’ll walk away with your AI Use-Case Scorecard in writing: your candidate use cases, ranked by ROI and feasibility. We’ll also check what AWS funding your build qualifies for. No pressure, no hard sell.