Dirac and Amazon Web Services are partnering to bring AI-driven process design to advanced manufacturers, particularly in defense and aerospace sectors. The collaboration delivers Dirac's BuildOS platform on AWS infrastructure, including AWS GovCloud for handling controlled data. The platform addresses a critical bottleneck in modern manufacturing: whilst engineering teams iterate quickly, design changes trigger hours of manual rework reconciling CAD models and updating production instructions. Bain reports aerospace and defense programme cost overruns have surged to nearly $46bn, with delivery timelines stretching from 8 to 11 years. BuildOS replaces document-driven production with an automated, model-based system. Customer Anduril has already compressed work instruction authoring by nearly 90%. However, adoption challenges remain: whilst 89% of manufacturers plan to implement AI in production, only 16% have achieved their AI-related targets, according to BCG.

Dirac has achieved co-sell ready status with Microsoft, bringing its AI-driven manufacturing platform BuildOS to enterprise manufacturers via Azure. The platform targets aerospace, defence, industrial equipment, and machinery sectors. BuildOS serves as an AI-native process planning system that works directly from CAD and PLM data. It generates process plans, work instructions, and manages engineering changes that traditionally required multiple enterprise applications and manual documentation. Customers report significant efficiency gains: up to 95% reduction in work instruction creation time, 85% faster engineering change cycles, 85% faster first-pass builds, and 95% faster operator onboarding. The platform runs on Microsoft Azure infrastructure, utilising GPU-enabled virtual machines for CAD processing and Azure database services. It is now available in Microsoft Marketplace, allowing manufacturers to deploy it against existing Azure commitments.