Agentic AI for Aerospace: Faster Design-to-Cost Cycles, Faster Time-to-Market
See a NASA balloon build and a live cost demo in action.
What you will learn
How agentic AI closes the gap between design, cost, and time-to-market in aerospace
Aerospace and defense teams face pressure to hit first article inspection and time-to-market targets. Yet, they lose weeks of development time to disconnected design, simulation, and costing tools and bottlenecks as steep as 25:1 design-to-simulation engineers.
This 30-minute webinar, hosted by SAE International, will show how agentic AI for engineering closes that gap by uniting an existing tech stack into one workflow. The session will highlight three example stories:
- An executive's vision of how this "golden age of engineering" uses agentic AI for real organizational transformation
- A NASA engineer's six-week, multi-agent-powered build, resulting in a 114,000-foot high-altitude balloon mission
- A live design-to-cost demo that takes an aircraft component from raw geometry to a competitive cost report in minutes instead of days
Key topics:
- Captured Value: moving AI agents from pilot programs into live development cycles
- Design to Cost: accelerating design, simulation, and costing to cut late-stage design changes
- Time to Market: shortening the path from concept to a flight-certified part
Who is this for?
- Design and simulation engineers at aerospace primes and Tier 1 suppliers
- R&D and engineering leaders evaluating agentic AI for engineering workflows
- Digital transformation leads working on SWaP-C trade-offs, qualification burden, and program cost targets
Watch a clip from the webinar:
