Own ValidAI.

What you'd own.

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

• ●Validation framework codebase and open-source agent testing SDK
• ●SaaS platform with configured freemium tier and billing
• ●PLG growth playbook with developer acquisition and upgrade tactics
• ●Financial model with unit economics and revenue projections
• ●Brand identity, voice guidelines, and positioning strategy
• ●Landing page, documentation site, and existing customer case studies
• ●Customer contact list and email outreach templates

What Roll Digital builds for you.

Custom scope to take ValidAI from MVP shell to operating business.

• ▸FastAPI backend with Postgres and async job queue for tests
• ▸Stripe billing integration across three pricing tiers with usage limits
• ▸Multi-tenant authentication system with email and Google OAuth login
• ▸Admin and user dashboard for test configuration and result review
• ▸Automated test runner with webhook notifications and result export
• ▸Product analytics and usage tracking for upgrade trigger logic
• ▸Email notification system and customer onboarding automation flows
• ▸Error logging, performance monitoring, and production observability setup

Why this could work.

Large TAM in the rapidly growing AI agent infrastructure space, estimated at 22k companies. Freemium GTM targets individual developers with natural upgrade path at 5+ agents in production. AI teams currently lack validation tooling purpose-built for their workflow and model update cycles. Strong word-of-mouth distribution potential within engineering teams. Model updates create recurring maintenance and upgrade demand from installed base.

What you'd risk.

Established competitors with distribution advantages, including OpenAI, Anthropic, and LangSmith, already offer validation tooling. Most teams building AI agents remain in prototype phase and currently lack budget for validation until shipping real users to production, creating a significant 12-18 month demand timing gap. LLM model updates frequently break existing test suites, increasing maintenance burden and driving customer churn. Success depends on being first to market.

Who this fits.

Best fit is an experienced SaaS operator or agency founder with existing relationships in the AI developer community. Must understand the LLM landscape and validation challenges teams face. Ideal candidate has a track record selling to engineering teams or prior experience building inside an AI company. Solo founders will struggle with the sales and customer success demands.

Timeline.

From contract signing to operating business.

1. Day 1
   Receive codebase, customer list, and architecture documentation package
2. Week 1
   Deploy to staging environment, configure Stripe and OAuth
3. Week 3
   Beta launch with email outreach to existing free tier users
4. Week 6
   Production launch with analytics, billing, and upgrade prompts active
5. Day 90
   Target 10-15 teams on paid tier, measure retention cohorts

Pricing.

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