Predictive AI Shrinks Semiconductor Library Timelines
In semiconductor design, generating accurate Liberty files has long been a bottleneck in the product development workflow. Siemens Solido Characterizer targets this problem with predictive AI and an AI-accelerated simulation engine that cut Liberty file generation from weeks to days. Built for foundries and in-house chip teams, the tool automates SPICE-based Liberty creation across multiple process corners and formats such as LVF, while maintaining accuracy under rising process complexity and tighter design margins. Its AI engine speeds multi-PVT and LVF workflows, and the integrated Solido LibSPICE simulator further boosts throughput. Connected to Solido Analytics, teams can monitor progress, assess quality, and trigger automated reruns to keep schedules predictable. Used together with Solido Generator and Solido Fuse, Solido Characterizer forms an AI-centric characterization flow that scales across multiple IPs and design groups, enabling faster semiconductor design iterations without sacrificing data quality.
Digital Product Design Meets Clean Energy at H2 Core Systems
H2 Core Systems demonstrates how digital product design tools can accelerate innovation in the energy sector. The company builds modular hydrogen-based production, storage and energy systems, and relies on Siemens Xcelerator as the backbone of a fully digital product development process. Using Designcenter X Solid Edge, H2 Core Systems designs and visualizes systems in 3D before any hardware is built, which has helped halve production time and speed design and customization cycles by 20 percent. Cloud collaboration via Teamcenter Share supports distributed teams in creating marketing assets, technical documentation and customer-ready visualizations from the same digital models, reducing rework and miscommunication. On the automation side, S7-1200 PLCs and TIA Portal enable precise control of complex hydrogen systems. The result is a digital-first workflow that connects design, engineering and production, increasing responsiveness to customer requirements while supporting scalable, sustainable energy solutions.
Quanta Builds a Digital Thread From Design to Factory Floor
In manufacturing, Quanta Computer is adopting Siemens software to tightly integrate digital product design with global production. Through the Siemens Xcelerator portfolio, Quanta is creating a digital thread that connects research and development centers with manufacturing sites, aiming to shorten new product introduction timelines by 20 to 25 percent. Polarion for application lifecycle management and Teamcenter for product lifecycle management provide traceability from customer requirements and RFQs through MCAD/ECAD data and bills of materials. Teamcenter Manufacturing extends that thread into the bill of process, aligning engineering intent with actual production workflows. Siemens Process Simulate lets Quanta validate and optimize manufacturing processes virtually, reducing trial-and-error on the shop floor, while Teamcenter Quality supports quality processes and IATF 16949 compliance. Together, these industrial design tools give Quanta a cohesive digital environment that supports faster iterations, higher product quality and more consistent scaling across its factories.
AI-Accelerated Simulation as the Engine of Faster Iteration
Across these examples, AI-accelerated simulation is emerging as a key driver of shorter development cycles. In chip design, Solido Characterizer’s AI engine and LibSPICE simulator replace traditional, serial SPICE runs with predictive models that identify the most informative simulations, allowing teams to characterize complex libraries in days. For energy systems, H2 Core Systems’ 3D design and automation environment serves as a digital twin, enabling virtual verification of layouts, controls and configurations before any physical build. At Quanta, process simulation tools let engineers model assembly lines and production workflows digitally, validate them, and feed improvements back into the product design. This convergence of simulation, AI and lifecycle management compresses the time between concept and validation, empowering organizations to test more design variants, capture issues earlier and bring higher-quality products to market faster.
Towards Fully Integrated, Digital-First Industrial Design Workflows
The adoption of Siemens’ platforms by semiconductor, energy and manufacturing players points to a broader shift toward integrated, digital-first industrial design workflows. In this model, 3D design, AI-accelerated simulation, process planning, automation and quality management sit on a common digital backbone. Siemens Solido Characterizer transforms characterization into a scalable, AI-led process, while H2 Core Systems’ use of Designcenter X Solid Edge and automation hardware shows how digital product design directly informs physical systems. Quanta’s digital thread, spanning PLM, ALM, process simulation and quality tools, highlights how product and manufacturing data can flow seamlessly across teams and geographies. For energy and manufacturing sectors under pressure to deliver more complex products faster, this combination of AI, simulation and lifecycle integration is already translating into measurable gains in time-to-market, customization capability and product reliability.