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Synopsys

Synopsys powers 2 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 2 countries. Documented deployments include AI agents, copilots, RAG.

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Use Cases

2

Industries

2

Countries

2

Agent Cases

1

Hyperscaler mix

Filter Synopsys's implementations by cloud provider evidence.

How Synopsys builds AI

Build / Buy / Compose across this partner's documented cases

BuildBuyComposeMixed

2 of 2 cases classified (100%) · Compare all use-case types

Evidence persistence

1 of 1 judgeable case is still publicly referenced · 1 show the organization expanding AI use.

Durability of public evidence, not whether systems remain in production. How this is measured →

All Use Cases (2)

Microsoft

Krones achieves real-time optimization of packaging lines with digital twin framework

Krones, a leading provider of packaging and bottling systems, partnered with Synopsys to deploy a cutting-edge digital twin framework leveraging Microsoft Azure and NVIDIA Omniverse. Traditional fluid simulation in manufacturing took several hours per run, limiting real-time process optimization and scenario testing. By implementing a GPU-accelerated, cloud-native simulation environment hosted on Azure, Krones reduced simulation runtimes from hours to under 5 minutes.The system integrates Ansys Fluent physics, Omniverse libraries, and Azure AI, resulting in a virtually realized factory floor for real-time scenario comparison and adjustment. Enhanced collaboration is enabled across engineering, operations, and R&D teams, thanks to seamless concurrency and data-driven decision-making capabilities.CADFEM Germany GmbH customized solver settings for Krones’ needs and SoftServe provided system integration for the full deployment on Azure cloud infrastructure.The technical architecture enables scalable digital twins across industries, making sophisticated simulations accessible, which significantly reduces waste, increases resource efficiency, and speeds up product development cycles.Collaboration between Synopsys, NVIDIA, and Microsoft demonstrates how digital transformation can deliver practical, rapid agility to manufacturing operations, ultimately raising productivity to new industry standards.

ManufacturingGermany
Microsoft

Global Innovators Accelerate Scientific Discovery with AI-Driven Agents

Microsoft Discovery is a new enterprise AI agent platform designed to transform research and development (R&D) across sectors. By orchestrating specialized AI agents with a sophisticated graph-based knowledge engine, researchers and scientists can reason contextually through complex data, simulate experiments, and iterate research plans faster than ever before. Built on Azure High Performance Computing (HPC) and Azure AI Foundry, it emphasizes trust, compliance, and extensibility. Real-world impact is demonstrated by Microsoft researchers rapidly developing a sustainable immersion datacenter coolant, a process that normally takes years, in just 200 hours. GSK aims to accelerate medicinal chemistry, while The Estée Lauder Companies focuses on faster product innovation. The platform integrates partner technology from NVIDIA, Synopsys, and PhysicsX to enable advances in pharma, materials, semiconductor design, and industrial engineering. Strategic alliances with Accenture and Capgemini are helping scale deployments. Microsoft Discovery is positioned as a future-proof system for solving the most challenging R&D problems using AI agents and Microsoft’s secure cloud foundation.

PharmaUnited States
AgentRAGCopilot