1-4 weeks from $7,000

Governed MVP Build

Full AI product in days, not months. Architecture, build, review, test, security gate, deploy.

Built for a European construction company 300+ docs structured 36 API functions Production in 4 weeks

What This Is

A structured rapid build for teams that need a real AI product or internal tool delivered fast — without skipping architecture, testing, or release discipline. This is not prototype theater. It's governed delivery: architecture before code, testing before release, security before deployment.

The Problem

You need an AI product built, but traditional dev cycles take months. You've seen agencies promise fast delivery, only to get a fragile prototype that can't survive contact with real users. You want something live, tested, and governed — not a demo that falls apart the moment someone pushes an edge case.

What We Do

Our process

Scope and use-case alignment — define what the MVP must do and for whom

Architecture design with governance built in — no shortcuts on structure

Rapid core build — functional implementation with clean codebase

AI integration and testing — model selection, prompt engineering, edge case handling

Review and validation — internal QA, user testing, performance checks

Security gate review — automated and manual checks before release

Deployment and handoff — production environment, documentation, team training

Who Needs This

Is this right for you?

You need an AI product live in weeks, not months

Traditional dev agencies quoted 3–6 months for something you need now

You have a validated idea but no in-house AI development capacity

You tried building internally and hit a wall with AI integration complexity

You need a production-ready MVP, not a demo that breaks under real use

You want built-in quality gates — not "move fast and break things"

What You Get

Deliverables

Production-ready AI product deployed to your infrastructure

Architecture documentation with system design rationale

Security gate PASS verdict (or remediation if needed)

Source code and deployment configuration

User-facing documentation and admin guide

Post-delivery recommendations for next phase

After This Engagement

What changes for you

You go from idea to live product in 1–4 weeks instead of 3–6 months

Your product ships with architecture that scales, not duct tape

Security is verified before launch, not after the first incident

Your team has full source code, documentation, and knowledge transfer

You have a clear path to Phase 2 — not a dead-end prototype

Proof

Atmiora — built with governed methodology

Atmiora is a symbolic intelligence platform we built using our own governed methodology: 13 pages, 5 API routes, 3 AI engines, automated QA system, and admin dashboard. Production-quality, live at atmiora.com. It's our proof that fast delivery and quality are not mutually exclusive.

13 pages3 AI engines5 API routesLive in production

See proof →

Investment

Choose the right tier

1–4 weeks. Includes architecture, build, review, test, security gate, and deployment. Final scope depends on product complexity, number of AI integrations, and deployment requirements.

Core

$7,000

1–2 weeks

Single-feature AI product
Architecture + build + test
Security gate review
Source code + documentation
Deployment to your infra

Scope Your MVP

Common Questions

What can realistically be built in 1–4 weeks?

A focused AI product with clear scope: internal tools, customer-facing assistants, data processing pipelines, automation dashboards. The key is bounded scope — one core value proposition, well-executed.

Is this for internal tools or customer-facing products?

Both. We've built internal knowledge tools, customer-facing AI assistants, and data processing systems. The methodology adapts to the audience.

How is this different from hiring a freelancer?

Structure. A freelancer writes code. We deliver an architected system with documentation, security review, and governed release. The difference shows up when the system needs to scale or when something breaks.

What stack do you use?

Depends on the product. Typically Next.js or Astro for frontend, Python or Node.js for backend, Claude or GPT APIs for AI features. We choose what fits your needs and your team's ability to maintain it.

Does security review come included?

Yes. Every MVP build includes a security gate review before release. It's not optional — it's part of the methodology.

What happens after delivery?

You get full source code, documentation, and a handoff session. If you want us to continue with Phase 2 features, we scope that separately. If you want ongoing support, our retainers cover that.

Is this a prototype or a production-ready product?

Production-ready. Our MVPs are deployed, tested, and security-reviewed. "MVP" means the fastest defensible version of a real product — not an unfinished demo.

Do you work from scratch or from an existing prototype?

Both. We can start from zero or refactor an existing prototype into production quality. The audit step determines the best approach.

What is not included

Long-term product roadmap execution (available as retainer or Phase 2)

Indefinite post-launch support (we do handoff; ongoing support is retainer-based)

Large-scale feature expansion beyond MVP scope

Marketing, branding, or go-to-market strategy

Related Case Studies

European construction company

Full AI system in 4 weeks: 300+ documents, 36 API functions, 3 AI assistants.

Read case →

Atmiora

Symbolic intelligence platform: 13 pages, 3 AI engines, automated QA. Live at atmiora.com.

Read case →

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Product Build

from $7,000

Scope Your MVP