Own AgentX.

What you'd own.

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

• ●MVP codebase with multi-tenant architecture for AI agent observability.
• ●Beta user list and product feedback from initial testing.
• ●Brand identity, website, and launch campaign materials.
• ●Financial model with three pricing tiers and revenue projections.
• ●Technical spec for LangChain integration and tracing infrastructure.
• ●Go-to-market playbook for developer acquisition via HN and GitHub.
• ●Founder knowledge transfer and initial customer success playbook.

What Roll Digital builds for you.

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

• ▸Production FastAPI backend on AWS with PostgreSQL and distributed tracing storage.
• ▸Multi-tenant authentication with email sign-up and OAuth via Google and GitHub.
• ▸Usage-based billing system tracking per-seat monthly subscriptions at $100-500 tiers.
• ▸Production observability dashboard for agent execution tracing and performance analysis.
• ▸Automatic agent tracing via LangChain SDK integration without code changes.
• ▸Time-limited free tier with feature gates to funnel users to paid plans.
• ▸Customer onboarding flow and initial support playbook for first paid teams.

Why this could work.

The $300M TAM is real: 30,000 active AI agent teams need observability. Free-tier-first approach bypasses LangChain's distribution moat if AgentX offers tighter LLM-specific debugging than LangSmith's generic tracing. Engineering teams at early-stage AI startups not yet on established platforms will adopt if onboarding is frictionless. Usage-based pricing at $100-500 per team is defensible if the product becomes essential to agent performance optimization.

What you'd risk.

LangSmith's native LangChain integration and free tier present a formidable competitive moat requiring clear technical superiority to overcome. VC-backed competitors Braintrust, Honeyhive, and Arize have faster engineering velocity and aggressive free tiers. Most critically, OpenAI and Anthropic are rapidly integrating observability into their own platforms, commoditizing the category before AgentX reaches profitability. Pricing compression and market consolidation pose real risks to unit economics.

Who this fits.

An operator with credibility in AI development or developer tools who understands freemium growth mechanics and can navigate VC-backed competitors. Someone with an existing audience in AI/ML circles or strong connections to early-stage startup founders. Best fit is a solo SaaS founder or small agency technical lead comfortable managing pricing compression and willing to lean into technical differentiation via integrations with existing agent frameworks.

Timeline.

From contract signing to operating business.

1. Day 1
   Codebase transfer, AWS and Stripe credentials, team training on product.
2. Week 1
   Production backend deployed, Stripe billing integration tested and live.
3. Week 3
   Public launch on HN and GitHub, free tier onboarding flow.
4. Week 6
   First 10-20 paid customer signups, revenue tracking and optimization.
5. Day 90
   Reach $4-6k monthly recurring revenue with 15-25 active paid teams.

Pricing.

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