Lunar hardware took years of sequential design cycles. Now, AI agents run physics simulations to deliver parts in days.
An aerospace manufacturer developing spaceflight infrastructure, where hardware must survive extreme environments like the 14-day freezing lunar night.
Developing lunar hardware traditionally required years of sequential design cycles across dozens of specialized disciplines. Standard AI models...
“The early days of GenAI were exciting for us, but limited to more common sorts of tasks. We needed AI that could actually do the specialized work, not just assist with it.”
Aerospace manufacturer and sub-orbital spaceflight services provider.
Cloud computing platform and on-demand infrastructure services.
Blue Origin's Hardware design is part of this use case:
Related implementations across industries and use cases
Complex reverse engineering took experts a month. Now, AI agents dissect code and build defense plans in under 30 minutes.
Faults took 5–6 hours to diagnose, and retiring veterans were walking out with decades of floor expertise. GearPal answers in minutes.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
QC simulations ran 15 hours and reset from scratch on every change. Digital twins cut that to 3.6 seconds.
Simulations were stuck in 2D and took hours. Physics-informed AI now models 3D urban airflow in seconds.
Admin overhead slowed decision-making. Copilot now automates content generation, cutting daily busywork by 30 mins.
Work orders, travelers, and POs set to surge 30%—no path through without new staff. AI agents draft; the same team reviews and ships.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Lunar hardware took years of sequential design cycles. Now, AI agents run physics simulations to deliver parts in days.
An aerospace manufacturer developing spaceflight infrastructure, where hardware must survive extreme environments like the 14-day freezing lunar night.
Developing lunar hardware traditionally required years of sequential design cycles across dozens of specialized disciplines. Standard AI models...
“The early days of GenAI were exciting for us, but limited to more common sorts of tasks. We needed AI that could actually do the specialized work, not just assist with it.”
Aerospace manufacturer and sub-orbital spaceflight services provider.
Cloud computing platform and on-demand infrastructure services.
Blue Origin's Hardware design is part of this use case:
Related implementations across industries and use cases
Complex reverse engineering took experts a month. Now, AI agents dissect code and build defense plans in under 30 minutes.
Faults took 5–6 hours to diagnose, and retiring veterans were walking out with decades of floor expertise. GearPal answers in minutes.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
QC simulations ran 15 hours and reset from scratch on every change. Digital twins cut that to 3.6 seconds.
Simulations were stuck in 2D and took hours. Physics-informed AI now models 3D urban airflow in seconds.
Admin overhead slowed decision-making. Copilot now automates content generation, cutting daily busywork by 30 mins.
Work orders, travelers, and POs set to surge 30%—no path through without new staff. AI agents draft; the same team reviews and ships.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.