DBbun Executable VTOL Design and Mission Simulator is a software platform for rapidly exploring aircraft concepts before committing to expensive prototypes or flight tests. Early-stage vertical-takeoff-and-landing design is difficult because payload, mass, propulsion, energy use, environmental conditions, and mission requirements interact in ways that are hard to evaluate with static spreadsheets or isolated engineering calculations.

The platform converts a design specification into an executable, repeatable simulation. It generates candidate aircraft configurations, models mission phases such as takeoff, hover, cruise, maneuvering, payload delivery, and landing, and evaluates performance under changing wind, temperature, altitude, payload, and power conditions. Each run produces structured design records, mission summaries, time-series telemetry, engineering flags, visualizations, and machine-readable reports. Users can compare alternatives, identify infeasible designs, and test “what-if” scenarios before investing in hardware.

Its principal innovation is the integration of large-scale synthetic design generation, mission simulation, and transparent engineering reporting in one workflow. Instead of producing only a static analysis, the system creates an executable companion that can be rerun, inspected, and extended. The approach has been demonstrated in a large-scale release containing more than 100,000 synthetic VTOL designs and 1,000,000 simulated missions, producing approximately 300 GB of reusable engineering data. This enables benchmarking, design-space exploration, algorithm development, and stress testing at a scale that would be impractical through physical testing alone.

The platform is implemented as modular Python software with a browser-based dashboard and can run on ordinary computers or cloud infrastructure. New vehicle types, propulsion models, mission profiles, and scoring rules can be added without rebuilding the entire system. Production therefore requires no specialized hardware and can be delivered as licensed software, a hosted service, or a configurable engineering toolkit.

Potential users include aerospace startups, defense organizations, universities, engineering teams, procurement programs, and developers of autonomous flight systems. The system can reduce development cost, shorten design cycles, improve safety by screening risky concepts before testing, and broaden access to digital engineering capabilities that are otherwise expensive or difficult to reproduce.