From idea to MVP — the operating model, designed in full.

The problem

Building a startup's first product still means assembling a team — or a stack of tools — across strategy, design, engineering, growth, and operations, each with its own learning curve and cost. Founders lose months and real budget before validating whether the idea should exist at all.

The concept

AIRadius is designed as an AI-native startup operating system: a structured map of 65+ specialized roles across 11 departments (strategy, design, engineering, growth, and more), each role scoped with the tools it would use, an estimated monthly cost, and the KPIs it owns — plus a guided idea-to-MVP journey and a human-in-the-loop validation gate before anything ships. The goal is a founder can see, role by role, exactly what building their MVP the AI-native way would look like and cost.

Available today

A fully designed, interactive specification and pitch experience is live:

• A master document mapping 67 expandable role cards across 11 departments, each with a suggested tool stack, monthly cost estimate, and KPIs.
• An executive summary with problem framing and a multi-year projection selector.
• A guided proof-of-concept journey walking through five phases from idea validation to launch and monitoring.
• An architecture reference describing the intended orchestration design (agent routing, shared memory, task queueing).

Upcoming features

Everything above is a specification and interactive walkthrough today. Planned as the build that would make it real:

• Working agent implementations for the 65+ specialized roles — none currently execute; the operating model is fully designed but not yet running code.
• A real task-routing and shared-memory layer connecting agents to each other, per the published architecture design.
• Human-in-the-loop checkpoints wired to an actual validation and build pipeline, rather than a guided walkthrough.
• Enterprise-ready export of a real, running MVP rather than a simulated outcome.

Who it's for

• Founders wanting to see the full AI-native build model before committing budget.
• Enterprise innovation teams evaluating an AI-native build approach for a new product line.
• Agencies scoping what an AI-native delivery team could look like for a client.

Platform and stage

A statically exported Next.js specification and pitch site. Stage: concept — the operating model, role map, and architecture are fully designed and presented as an interactive walkthrough; no agent, workflow, or MVP-export pipeline is running software yet.