Own Orchestrator.

What you'd own.

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

• ●Brand identity, positioning, and visual design system
• ●Landing page with CTAs, pricing comparison, and sign-up
• ●Outbound GTM playbook with prospect list and email templates
• ●Financial model with pricing tiers and Year 1 projections
• ●Product design specification for orchestration workflows and user experience
• ●Customer research findings and early buyer interview notes

What Roll Digital builds for you.

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

• ▸Production FastAPI backend with PostgreSQL and multi-tenant support
• ▸Stripe billing integration for monthly and usage-based pricing
• ▸Email plus Google OAuth multi-tenant authentication system
• ▸Real-time workflow monitoring and orchestration logging dashboard
• ▸Custom domain provisioning, SSL, and subdomain management
• ▸Sales playbook refinement based on first customer feedback
• ▸30-day customer success support and onboarding program
• ▸SOC2 compliance roadmap and enterprise readiness documentation

Why this could work.

The TAM is substantial: 15,000 US tech companies deploying multi-agent AI systems annually spend $15k+ on orchestration tooling. Current GTM proves repeatable: 20 demos monthly to Series A-C CTOs via LinkedIn and Slack communities convert to $800-1,500 monthly contracts. A market gap exists between expensive enterprise platforms and free but fragmented OSS tools. Early traction validates buyer willingness to pay for coordination simplicity.

What you'd risk.

Three structural headwinds exist. Free, community-backed orchestration tools like LangGraph, CrewAI, and AutoGen are the default for technical buyers, creating steep proof-of-concept barriers. OpenAI, Anthropic, and Google are baking native orchestration into platform APIs within 12-18 months, potentially eliminating the standalone market. Enterprise customers demand SOC2, dedicated SLAs, and multi-month procurement cycles that will exhaust a solo founder's time and capital before hitting sustainable growth.

Who this fits.

Best fit: former startup CTO or VP Engineering with deep AI infrastructure experience and existing relationships in Series A-C funding circles. Needs sales experience or genuine willingness to learn API-first SaaS selling. Solo operation initially. Must handle extended enterprise procurement cycles while maintaining product velocity and navigating the platform consolidation risk. This is not a passive investment.

Timeline.

From contract signing to operating business.

1. Day 1
   Purchase domain, deploy staging environment, load qualified prospect list
2. Week 1
   Deploy production backend with Postgres, establish Stripe billing, setup auth
3. Week 3
   First customer sign-up, activate onboarding flow, refine pricing based feedback
4. Week 6
   Expand to five customers, document sales playbook, improve dashboard UX
5. Day 90
   Deploy eight customers, validate unit economics, launch enterprise feature tier

Pricing.

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