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Working Prototypes, Not Slides
We don't hand you a deck of mockups — you get a live, clickable prototype running on your own data from week two onward, with a recorded walkthrough your whole team can review and react to before a single production line is written.
Your Data Stays Yours
Every prototype runs in a private cloud perimeter from day one. Your data never trains a public model, and nothing about your MVP becomes someone else's product roadmap.
Real Code, No Lock-In
You own the repository, the architecture, and every line we write. If you want to bring the code in-house after launch, there's no proprietary platform holding it hostage.
Senior Engineers Only
No junior bench rotating through your build. AI/ML engineers, backend architects, and a domain analyst are on your project from the scoping call through launch.
Built to Scale Later
Your MVP is built on the same stack we use for enterprise-grade production systems, so a successful prototype scales into a real product instead of getting rebuilt from zero.
AI MVP Development Cost & Packages
Rapid Prototype
$12,000+
A focused, single-workflow AI prototype built and validated on your real data in about two weeks. Ideal for testing one core hypothesis before committing further engineering budget.
What's included?
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Scope & Architecture: one working session to define the single highest-value workflow to prove
Prototype Build: functional PoC on your real data, not a clickable mockup
Stack Setup: Python/FastAPI foundation ready to extend into production
Findings Report: what worked, what didn't, and the fastest path to production
MVP Launch
$28,000+
A production-ready MVP covering your core user flow, deployed to real users with monitoring and basic integrations. This is the tier most startups and product teams choose to validate before a full build.
What's included?
Everything in Rapid Prototype, hardened for real users
Integration: secure API connection to one existing system (CRM, e-commerce platform, or internal tool)
Security & Monitoring: production-grade deployment in your private cloud
Scaling Roadmap: a prioritized plan for the next build phase
Scale-Ready Build
$55,000+
A full-scope AI product spanning multiple workflows and integrations, engineered for a real launch and built to carry enterprise-level usage from day one.
What's included?
Everything in MVP Launch, across multiple user workflows
Multi-System Integration: connections to your CRM, ERP, or e-commerce stack
Compliance: SOC2/GDPR-aligned deployment practices
Team Training: hands-on onboarding so your team can operate and extend the system
Why Choose Building Agentic?
You could hire a freelancer, brief an offshore team, or piece together a patchwork of contractors — or work with one accountable team that owns the outcome end to end.
One Accountable Team
A single team of solutions architects and AI engineers owns your build from scoping through launch — no handoffs between disconnected contractors.
Production From Day One
Your prototype is built on the same architecture that carries into production, so validated ideas don't get rebuilt from scratch.
Enterprise-Grade Security
SOC2-aligned, private-cloud deployment practices apply even at MVP scale, so your data stays protected from the very first prototype.
You Own the Code
There's no proprietary platform or subscription license standing between you and your own product after launch.
How It Works
Building an AI MVP with us follows the same four-stage rhythm whether you're a two-person startup or a product team inside a larger company — fast enough to move at startup speed, disciplined enough to hand off to engineering later.
Step 1
Scope the Idea
We narrow your idea down to the single workflow worth proving first, based on your real data and constraints.
Step 2
Build the Prototype
A working proof-of-concept goes live on your real data within about two weeks.
Step 3
Validate & Harden
We test the prototype with real users and harden it into a production-grade release.
Step 4
Launch & Plan Next
Your MVP ships, and you get a clear, prioritized roadmap for what to build next.
Industries We Build AI MVPs For
The same rapid-build approach applies across the industries where we already run production AI systems — from procurement teams automating RFP intake to retail brands validating a new customer-facing workflow.
Frequently Asked Questions About AI MVP Development
