Own Academic Shield.

What you'd own.

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

• ●SaaS product codebase and deployment infrastructure
• ●Trained detection model with 80-90% accuracy benchmark
• ●Cold email template library for conference outreach
• ●Financial model and year-1 GTM projections
• ●Founder's conference chair relationships and outreach list
• ●Landing page and trial signup flow code
• ●Competitor analysis and positioning versus Turnitin, Copyleaks

What Roll Digital builds for you.

Custom scope to take Academic Shield from MVP shell to operating business.

• ▸Scalable FastAPI backend with PostgreSQL for concurrent paper processing
• ▸Multi-tenant architecture with per-conference workspaces and role-based access control
• ▸Stripe billing integration with annual subscriptions and usage-based pricing
• ▸Email campaign automation for cold outreach and trial conversion
• ▸White-label results dashboard showing AI detection scores for committees
• ▸API integration layer for major conference management platforms
• ▸Audit logging and compliance documentation for institutional adoption

Why this could work.

The TAM is concrete: 4,000+ conferences globally need AI submission detection. Free trials convert well in education and nonprofit sectors where budgets are tight. No competitor has built a dedicated conference workflow product yet. You own the entire customer relationship from cold outreach through trial to subscription renewal. Program chairs face real pressure about AI and currently lack native detection solutions.

What you'd risk.

False positives wrongly accuse human authors of cheating, exposing conferences and your company to legal liability and reputation damage. Established competitors charge $0-$150 annually for better-known tools, making premium pricing difficult. Buying authority sits with unpaid volunteers who escalate decisions to university procurement, extending sales cycles to 12-18 months. Finally, OpenAI or Elsevier could release a free native detector overnight, eliminating your market entirely.

Who this fits.

Ideal operator: an academic researcher, conference organizer, or publishing industry consultant with existing relationships to program chairs and conference leadership. You understand academic decision-making processes and have credibility in the space. A solo founder comfortable with 12-18 month sales cycles. Prior SaaS experience valuable but deep conference-world networks are more critical.

Timeline.

From contract signing to operating business.

1. Day 1
   Assess detection model accuracy, compile conference contact list
2. Week 1
   Deploy SaaS frontend and trial signup infrastructure to staging
3. Week 3
   Launch first 50 cold emails to target conference chairs
4. Week 6
   Iterate on email messaging and trial-to-subscription conversion rates
5. Day 90
   Production-ready system operational with first revenue contracts signed

Pricing.

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