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Product and MVP development

AI Product & MVP Development in Denver

The best AI Product & MVP Development in Denver, at the best available price.

$0 upfrontPay per accepted checkpointSenior engineer, no agency markup

A real, production-grade build you can put in front of users or investors. Frontend, backend, mobile, the agentic AI underneath, and the cloud or private infrastructure it runs on, as one engagement rather than four vendors.

Denver and Boulder form one of the most active startup regions between the coasts, with strengths in aerospace, outdoor and consumer brands, fintech and SaaS. The region attracts founders who left larger cities, and companies here tend to be capital efficient by necessity.

Denver founders usually raise less than their coastal peers and stretch it further. A build paid per accepted checkpoint, with nothing upfront, fits that discipline.

What you get

  • Full-stack build on Next.js, Node or Python, with a database and API design that survives past the MVP
  • AI where it earns its place: LLM features, retrieval over your own documents, agent flows that call real tools, voice
  • Auth, payments, analytics and an admin surface, not a demo that breaks on the second user
  • Deployment across AWS, GCP or Azure, or private and on-premise hosting where the data demands it
  • Clean, documented code on your own infrastructure, written to make us replaceable on purpose
Working MVPs from $1,000. Full production builds from $12,000.

Final pricing depends on scope, features and complexity, so we settle it on a call before any work starts.

Invoiced in USD, payable by Wise or bank transfer.

Request a callback

You speak to the engineer who does the work. No sales rep, no deck.

No spam and no sales team. You talk directly to Neeraj.

Denver, Colorado

Who builds here

SaaS and fintechAerospace and defenceBoulder's startup and accelerator sceneOutdoor and consumer brands
Best fit in Denver

AI Product & MVP Development

The Denver and Boulder scene is full of capital-efficient early-stage companies that need a real product built quickly without a large team.

You are on it
Three founders around a laptop in a sunlit office, celebrating the moment their product went live
Timeline of a production MVP built in six weeks and paid per checkpoint. Today costs $0. Week 1 locks scope and architecture; weeks 2 to 4 build the core product with a demo every week; week 5 adds sign in, billing, admin and analytics; week 6 hardens the product and hands it over, live on your own accounts. Each stage ends in a checkpoint that is accepted, then invoiced.
Four checkpoints, each invoiced only after you accept it. Nothing is due before the first one.
How you pay

Get it built at $0.

That is not a discount. It is when you pay. The work is split into checkpoints with acceptance criteria written down before anything starts, and each checkpoint is invoiced only after you have seen it and accepted it. No deposit.

$0 to start
You hold every dollar until a checkpoint is delivered and you accept it. No approval, no invoice.
Fixed cost, unlimited features
Or hire the team outright: one fixed monthly cost, unlimited feature development, any stack.
The engineer takes your call
The person on your first call is the one who architects and writes it. No account managers, no bench time.

A US agency quotes $50,000 to $150,000 for the same build and asks for 40 to 50% of it before a line is written. Account managers, project managers, sales commission and bench time. None of it appears in your product.

How it works

Three stages, nothing hidden.

01

Twenty-minute call

You talk to the engineer who will build it, not a sales rep. We scope the problem and you get told plainly if this is the wrong fit.

02

Fixed proposal in 48 hours

Fixed price, fixed timeline, defined deliverables, in writing. No hourly billing surprises and no open-ended scope.

03

Weekly demos until it ships

Working software every week, direct access over Slack or WhatsApp, and documentation handed over at the end.

Working in Denver

What actually applies here.

Regulation and data

Colorado passed the first broad state law on high-risk AI, the Colorado AI Act, which puts duties on companies that use AI to make consequential decisions about people, such as hiring, lending, housing or insurance. Its start date has been pushed back and the law revisited more than once, so check the current version with counsel before relying on any summary. The Colorado Privacy Act already applies, and since 2025 it includes specific rules for biometric data.

Contracting and payment

You contract with an individual consultant based in India rather than a US entity. Invoices are issued in USD and paid by Wise or bank transfer, with no payroll and no benefits load on your side. Whatever documentation your finance team or counsel needs from an overseas contractor is provided before work starts.

Working hours

Calls in your morning, Mountain time, a shared window at the start of your day, and work handed over overnight so the next round is waiting when you start.

Does the Colorado AI Act apply to our product?

It focuses on high-risk systems that make, or substantially influence, consequential decisions about people. Most internal tools, chat assistants and analytics fall outside that definition. Your counsel makes the call; we build the documentation, testing and human review it would require if you are in scope.

Do you work with Boulder companies as well as Denver?

Yes. The work is remote with calls in your morning Mountain time, so where you are in the region makes no difference.

Is three days realistic?

For a working, demoable version of a core idea, yes, and that is what the three-day build is. A full production system with billing, admin and hardening takes weeks, not days. We will tell you which one your situation actually needs.

Do we own the code?

Entirely. It ships into your repository on your own cloud accounts, documented so your team or your next hire can pick it up without us.

Can you also host the AI model privately?

Yes, and as part of the same engagement. If compliance means inference cannot leave your network, the serving layer and the application are built together rather than handed between vendors.