Simulation software built for how fabs actually work.
A secure AI/ML Ops integrated development environment for building and deploying virtual models of semiconductor manufacturing processes.
Create virtual models of your production lines.
Today’s leading fabs are innovating faster than ever. Virtual manufacturing enables process engineers to set up new lines faster, reduce lead times, and optimize production yield. TwinLabs provides a unique and fully integrated platform to connect your equipment and use the power of AI.
The digital twin lifecycle — physical and digital environments in continuous feedback.
Build and run process models without specialist software skills.
TwinLabs is designed for the semiconductor process chain, not adapted from an industrial or general manufacturing tool. The platform’s AI agent handles the technical complexity, so engineers focus on process outcomes, not software skills.
- Run the latest AI frontier models. TwinLabs integrates with leading AI providers so your models use the most capable tools available, continuously updated as the field advances.
- Keep your data on-prem. Deploy in on-premises, hybrid, or cloud-only configurations. Proprietary process data stays within your security perimeter and is never shared across the platform.
- Model quickly with ready-made templates. Surrogate models and validated process components from TwinLabs Marketplace reduce time-to-first-simulation from months to days.
One secure platform.
TwinLabs combines three integrated environments that enable teams to build, validate, and scale AI-enabled digital twins with trusted data and integrated compute.
Develop and run process models.
The integrated environment where engineers build, run, and refine digital twin models of their manufacturing processes. TwinLabs is purpose-built for the semiconductor process chain, not adapted from general manufacturing tools.
Qualified models and tools, ready to deploy.
Accelerate model development without starting from zero with a curated ecosystem of process models, simulation components, and integration tools developed by TwinLabs and qualified third-party contributors.
Works with your current infrastructure.
A simulation that can’t connect to your physical fab stays theoretical. TwinLabs Operations closes that gap by connecting running digital twins to your tools, equipment, and manufacturing systems so process improvements in simulation translate directly to production outcomes.
TwinLabs is the secure AI/ML Ops platform built for how semiconductor manufacturers develop and operate digital twins. It unifies the tools, trusted data, and compute infrastructure required to move from model development to production deployment in a single environment. The platform enables manufacturers to accelerate innovation while meeting the security and operational demands of advanced semiconductor manufacturing.
Built for the teams that drive semiconductor manufacturing forward.
Enterprise power, available to fabs of any size.
TwinLabs gives mid-tier fabs and specialty manufacturers access to digital twin infrastructure that previously required IDM-scale resources, without the investment to build it independently.
Offer new simulation products from your existing equipment.
TwinLabs Marketplace gives equipment manufacturers a channel to publish virtual models and AI-powered agents for their tools. Customers can evaluate equipment in simulation before physical deployment, while OEMs generate recurring digital revenue from every tool already running at customer sites.
Early-stage simulation for the next generation.
University labs and research centers use TwinLabs for early-stage process development and validation. Pre-competitive collaboration through a shared platform accelerates innovation across the semiconductor manufacturing ecosystem.
The platform gets stronger as the ecosystem grows.
TwinLabs is shared infrastructure: participants contribute to a common foundation of process knowledge without exposing proprietary data. Collaboration and IP protection are not in tension here: they are solved together.
- Shared model improvement. Platform-level models improve as more participants use them, without any participant exposing proprietary process data.
- Standards development. TwinLabs contributes to common data standards for semiconductor manufacturing simulation, enabling interoperability the industry currently lacks.
- Researcher and university access. Academic institutions use the TwinLabs environment for early-stage process development and validation.
- Third-party development. Qualified contributors build and distribute tools through TwinLabs Marketplace, expanding the ecosystem’s capability over time.
Purpose-built simulation infrastructure for semiconductor manufacturing.
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