Own QA Testing AI.

What you'd own.

Every artifact below transfers to your accounts on day one. The whole engine.

• ●Brand identity and positioning for mid-market QA automation
• ●Production-ready landing page with conversion-optimized copy and flows
• ●Customer acquisition playbook covering dev community and LinkedIn outreach
• ●Financial model showing 115K mid-case year one ARR
• ●Test generation algorithm spec with multi-language support roadmap
• ●Founder persona and sales strategy for QA engineer targeting
• ●Customer success playbook and onboarding sequences for early customers

What Roll Digital builds for you.

Custom scope to take QA Testing AI from MVP shell to operating business.

• ▸Production Python backend on FastAPI for test generation
• ▸Multi-tenant PostgreSQL architecture with customer data isolation
• ▸Integration layer supporting Jest, pytest, and Go test frameworks
• ▸Stripe billing implementation for three pricing tiers
• ▸Authentication system with email and Google OAuth sign-in
• ▸Dashboard for test results visualization and team collaboration
• ▸Automated customer onboarding via Zapier and webhook integrations
• ▸30-day customer success support and integration troubleshooting

Why this could work.

The TAM is concrete: 50K US SMBs spend $1,200 annually on QA tooling, and most have no dedicated test generation solution. The GTM is proven: developer community channels plus LinkedIn targeting of QA engineers and engineering managers is a direct path to early adopters. The unit economics work if you hold burn to $500 monthly: three to five customers by month six hits breakeven and creates a repeatable acquisition model worth scaling.

What you'd risk.

GitHub Copilot and Cursor are already shipping test generation features natively, and major IDEs will follow. Generated tests passing locally but missing real bugs in production destroy credibility permanently: one bad batch and teams abandon the tool. Supporting multiple languages and frameworks properly (React, Python, Go, Java, Rails) requires sustained engineering investment that outpaces revenue in year one. The -$21K take-home means you are depleting capital to prove traction, and 16% success odds mean most operators won't reach profitability.

Who this fits.

This fits a SaaS founder with engineering credibility who understands dev tooling markets, or a QA consultant with an existing client list. You need comfort with technical product decisions, ability to manage integration complexity across multiple stacks, and runway to hold burn below $500 monthly until reaching three to five paying customers. Hands-on selling to engineering managers and quick iteration on generated test quality are critical to survival.

Timeline.

From contract signing to operating business.

1. Day 1
   Receive codebase, customer list, GTM playbook, financial model
2. Week 1
   Deploy production backend and customer database infrastructure live
3. Week 3
   First testing framework integrations live and verified working
4. Week 6
   Stripe billing live, auth system deployed, first beta users
5. Day 90
   Production launch and outreach to initial customer cohort

Pricing.

Three ways in, depending on how much you want to build yourself.