Own Investor Prospecting AI - Find LPs and Co-Investors Fast.

What you'd own.

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

• ●Investor Prospecting AI brand identity and positioning materials
• ●Production landing page and website copy optimized for conversion
• ●AI agent system prompt and prospect sourcing logic specification
• ●Financial model with Year 1-3 projections and unit economics
• ●LinkedIn outreach sequence templates and warm intro messaging playbooks
• ●Founder persona and ideal customer profile documentation
• ●Early warm intro contacts in fund manager Slack communities

What Roll Digital builds for you.

Custom scope to take Investor Prospecting AI - Find LPs and Co-Investors Fast from MVP shell to operating business.

• ▸Production backend API with Postgres database for prospect storage and sequencing
• ▸Web dashboard for campaign management, prospect tracking, and outreach scheduling
• ▸Stripe billing integration with three pricing tiers and usage metering
• ▸LinkedIn API integration for prospect research and direct messaging delivery
• ▸Email authentication and SMTP setup for warm intro delivery at scale
• ▸Multi-tenant user accounts with SAML/SSO for agency adoption scenarios
• ▸Campaign analytics dashboard showing response rates, meetings booked, and revenue impact
• ▸Initial 30-day onboarding and customer success support with playbook training

Why this could work.

The market exists: 25,000 US fund managers spend approximately $1,600 yearly on sourcing tools alone. The GTM works in practice: warm intros through fund manager Slack communities generate 15 demos monthly with demonstrated conversion to 3 closes at $250 MRR. The path to scale is clear: retain customers through multiple raise cycles and license or acquire proprietary investor data to build defensibility. Unit economics become favorable at 10-15 customers.

What you'd risk.

Three structural headwinds threaten unit economics. First, LP contact data lives behind $15k-$50k annual paywalls (Preqin, PitchBook). Without proprietary data, you're selling an AI wrapper with no moat. Second, fund managers raise every 3-5 years, not monthly. Churn spikes post-raise, collapsing LTV assumptions. Third, SEC compliance exposure around unverified LPs deters risk-averse fund managers from adoption. These risks justify the 12% success probability.

Who this fits.

Ideal owner is a founder or agency operator with outbound GTM experience and relationships in VC/PE or real estate syndication. You need to understand capital markets friction, ideally have access to a Slack community of fund managers, and can build on that network to validate early. Best fit: someone who has built one customer acquisition channel before, can absorb Year 1 losses, and will operate through multiple raise cycles.

Timeline.

From contract signing to operating business.

1. Day 1
   Receive spec, branding, financial model, founder persona, and customer playbooks
2. Week 1
   Finalize backend architecture and plan LinkedIn data integration
3. Week 3
   Deploy dashboard MVP for campaign creation and prospect tracking
4. Week 6
   Launch Stripe billing and onboard first paying customer
5. Day 90
   Reach ten beta customers; analytics dashboard and scale roadmap live

Pricing.

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