Fabricate the future.
Multi-agent process intelligence for semiconductor manufacturing
Design your process. Connect it to your fab. Learn from every run. Turn fabrication into a continuously learning system with agentic AI.
The next leap in semiconductor engineering will come from manufacturing systems that autonomously learn from physical outcomes.
For decades, semiconductor manufacturing was driven by optimizing production of slowly evolving Silicon-based technology nodes at extraordinary scale.
The next generation of microelectronics is different: new materials, compounds, device architectures, and heterogeneous integration make process development, co-optimization, and scale-up increasingly critical to bringing new technologies to market. Yet, the tools needed to enable agile manufacturing in AI-native factories remain fragmented across data systems, outdated software stacks, and individual engineers.
Make every wafer teach the next.
Manufacturing environments are not static. The next frontier is not simply more automation, but developing AI-powered manufacturing systems that autonomously reason, learn, and adapt.
FabuBlox is building the multi-agent platform that turns every fabrication outcome into memory that improves the next.
By connecting process intent with equipment and dynamic fab context, physical models, and manufacturing outcomes, FabuBlox is creating a shared foundation on which AI can reason, learn and act across the fabrication lifecycle, from process design and discovery to technology transfer, manufacturing optimization, and yield management.
Process Design Suite
Version-controlled process design with real-time, integrated layer stack emulation and team data management
Explore Process Design SuiteFacility OS
Digital representations of facility tools and their constraints for fab-aware design, contamination control, and agentic workflow automation.
Explore Facility OSFab Run Studio
An AI-powered, flexible manufacturing execution and analytics workspace to manage wafer lots, experimental design, and metrology.
Explore Fab Run StudioClosing the Loop
Connect measured outcomes and physical models with the wafer, route, and recipe that produced them. Gain AI-driven insights from wafer maps, statistical process control, and run-to-run variations.
Illustrative SPC: 107 nm is out of control, above the illustrative 106 nm upper control limit. The target is 100 nm; the lower control limit is 94 nm. An ellipsometer, an AFM, and an optical microscope send their measurements to the wafer, building wafer 4's site columns and the chart.Unified process intelligence
with agentic process discovery
Turn fabrication history into compounding process intelligence. Every iteration adds to a continuously learning system accelerating your process integration and yield optimization.
FabAgentBuild on what this run taught you.
Start a new process version with the measured outcomes and recipe context ready for review.
Fabricate the future, faster.
Questions?
Answers.
You ask: Can anyone see my process flows, recipes, or data I upload to FabuBlox?
FabuBlox maintains strict access control. You own everything you create on FabuBlox and by default only you can see your process flows, recipes, and other data. Your data only becomes visible to other users if you explicitly grant access by using our permission & access control interfaces. You can refer to our Terms of Service and Privacy Policy for more information on data handling on FabuBlox.
You ask: Is my data secure on FabuBlox?
FabuBlox follows industry standards on data encryption and storage. All data-at-rest is stored on encrypted hard drives managed by Google Cloud. We offer regional data storage solutions outside the United States. SOC2 certification of the FabuBlox platform is underway.
You ask: Do you offer enterprise solutions and self-hosted data storage?
Visit our Pricing page or contact us at hello@fabublox.com to learn more about our upcoming enterprise offerings including self-hosted data storage and a FedRAMP-certified Gov Secure version of FabuBlox compliant with CUI data up to IL4.
You ask: Is my data used for AI model training when using FabAgent?
No. FabuBlox does not use your data for model training, so your IP is secure even when using agentic AI features on FabuBlox. FabuBlox provides agentic tools and skills connected to external model providers - currently only Google Gemini is supported. FabuBlox’s commercial agreement with external model providers guarantees that your data is not used for training when chatting with the FabuBlox FabAgent.