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RG Automata
MVP Development

From AI Idea to
Live Product
in 8–14 Weeks

We've built 20+ AI MVPs for startups and enterprise innovation teams. Our battle tested process turns validated ideas into production grade AI products. Fast enough to matter.

Start Your MVP See Past MVPs

20+

MVPs Shipped

to real users

8–14

Weeks Average

discovery to launch

$0

Rearchitect Cost

scales from day 1

4.3★

Client Rating

across all projects

What We Build

AI Product Types We Launch

Not every AI idea is MVP ready. We help you identify the core AI value proposition and build exactly that, no more, no less.

AI First SaaS Platforms

Multi tenant SaaS products where AI is the core value driver, not a sprinkled feature.

AI Copilots & Assistants

Domain expert AI assistants embedded into workflows your users already live in.

Autonomous Agent Platforms

Task completion agents that operate independently on complex, multi step objectives.

AI Analytics Products

Natural language data tools that democratize analytics across your entire organization.

Conversational AI Apps

Chatbots and voice products with genuine domain expertise and reliable multi turn memory.

AI Operations Tools

Internal AI tooling that automates the manual work that scales linearly with your team.

Our Process

The MVP Delivery Timeline

A structured, milestone driven process that gives you full visibility from day one to launch day.

Week 1–2

Discovery & Strategy

AI opportunity mapping & validation
Competitive landscape analysis
Technical feasibility assessment
Core user journey definition
MVP scope scoping (what's in, what's out)
Architecture blueprint & tech selection

Milestone Outcome

Signed off technical brief + visual prototype specification

Week 3–4

Design & Architecture

High fidelity UI/UX prototype
Database schema design
AI agent / LLM flow architecture
AWS infrastructure planning
API contract definition
Security model review

Milestone Outcome

Clickable prototype + confirmed architecture ready for build

Week 5–10

Agile Engineering

2-week sprint cycles with demos
Core AI feature development
Backend API & database build
Frontend application development
LLM integration & prompt engineering
Continuous integration setup

Milestone Outcome

Working, tested AI product. Ready for user validation

Week 11–12

QA & Polish

Comprehensive test suite
AI output quality evaluation
Performance & load testing
Security vulnerability review
UX refinement based on feedback
Production environment setup

Milestone Outcome

Production hardened MVP with full test coverage

Week 13–14

Launch & Investor Ready

Production deployment on AWS
Monitoring & alerting setup
Onboarding flow implementation
Investor demo preparation
Engineering documentation
Post launch iteration planning

Milestone Outcome

Live MVP with real users + investor demo deck

Why Us

What Makes Our MVP Process Different

8–14 Week Delivery

Not months. We've built the playbooks, tooling, and templates that make rapid AI development predictable.

Production Grade Code

Your MVP will be the foundation of your v1, not something you have to throw away and rewrite.

Investor Ready

We help you frame your AI technology story for investors and prepare live demos that convert.

Scoped to Launch

We push back hard on scope. We'd rather launch a focused MVP on time than a bloated product late.