Own Almsbury.

What you'd own.

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

• ●Almsbury brand identity and positioning in nonprofit grant tech market
• ●Landing page, email templates, and LinkedIn outreach playbook
• ●MVP codebase with core AI grant-writing engine
• ●Nadia Koslow founder persona and industry credibility
• ●Customer acquisition playbook targeting development directors
• ●Financial model and pricing tiers ($89-119/month structure)
• ●Initial customer list and trial pipeline

What Roll Digital builds for you.

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

• ▸Production backend with LLM integration for grant application drafting
• ▸Multi-tenant organization accounts with email-based user invites and role management
• ▸Stripe integration for monthly billing across three subscription tiers
• ▸Grant draft storage with version control and Word/PDF export
• ▸Trial system with email triggers and conversion tracking
• ▸Audit logs and compliance features for nonprofit governance
• ▸Landing page redesign and trial signup flow optimization
• ▸Email support system and customer success onboarding playbook

Why this could work.

The TAM is substantial: 100k US nonprofits with active grant programs spend roughly 1.2k yearly on tools. Nadia's proven GTM through LinkedIn outreach and AFP conferences provides a direct channel to decision-makers. Unlike generic AI tools, this is positioned for a specific buyer with a clear pain point. Production launch collapses time to first real customers. The model works if conversion rates from trial exceed 8-12% within 90 days.

What you'd risk.

Grant funders are adding AI-prohibition clauses to application guidelines. If this becomes standard enforcement, customers face existential risk using the product. Nonprofit grant writers are frequently part-time staff or volunteers without software budgets. Purchasing requires board approval and fits annual budget cycles, extending sales cycles to 3-6 months and crushing trial-to-paid conversion. Grantable.co, Instrumentl, and Submittable already have established nonprofit customers and AI features. Proving superior outcomes requires 12+ months of customer data.

Who this fits.

This fits a founder or operator with nonprofit sector experience or existing relationships with development directors. They should have production engineering capability or a technical co-founder. Sales and marketing execution is critical. Ideally someone who ran a failed SaaS company and wants lower upfront risk, or a nonprofit tech consultant with a customer list. 3-6 month sales cycles require patience and capital.

Timeline.

From contract signing to operating business.

1. Day 1
   Receive codebase, founder handoff, customer list access
2. Week 1
   Production backend deployed, LLM integration tested
3. Week 3
   Stripe billing and trial system live
4. Week 6
   First 10-15 trial users through LinkedIn outreach
5. Day 90
   Conversion target of 8-12% from trial to paid

Pricing.

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