Certifying a new aircraft is a decade-plus, multi-billion-dollar effort defined by an unforgiving reality: certification isn't just about flying the airplane—it’s about producing an airtight audit trail that proves you understand every failure mode before takeoff.
In safety-critical flight software, verification routinely costs as much as (or more than) the original development. Aerospace and defense companies aren't just paying engineers to write code; they are paying them to prove that the code meets strict regulatory requirements, line by line. Every single change can ripple into weeks of manual re-verification.
In this video, we break down how Dyad and Julia are driving a structural shift in aerospace engineering by completely collapsing the traditional toolchain. By bringing modeling, simulation, code generation, and agentic AI into a unified, Julia-based environment, the exact same code used to prototype an algorithm can run directly on the flight computer. No separate code generators, no translation steps, and no broken evidence trails.
