ParAtom
A materials discovery workbench for exploring and evaluating promising candidates.
Learn more →Materials discovery and semiconductor design
AI tools for materials and semiconductor engineering.
ParaScalr builds software for materials discovery, process modeling, and chip design.
Materials Demonstrated
computational discovery workflows in active use
Engineering In progress
models and workflows currently being developed
Semiconductors Building
expanding into connected design and process workflows
What we build
Products for materials and semiconductor engineering.
VirtualFab
Explore how process choices may affect device and circuit outcomes.
Learn more →Spec-to-Design-to-GDS
From device and product specifications to design exploration, PDK generation, and implementation.
ParaScalr Compiler
A scale-aware compiler for materials simulation, process modeling, device engineering, and RTL design.
Learn more →FVM
A unified workflow for formal verification of memory controller designs.
Learn more →Why now
Semiconductor teams coordinate more technologies at once.
01
New materials and processes increase the need for physics-aware modeling.
02
Chiplets, advanced packaging, and mixed process nodes require teams to coordinate across more technologies.
03
Information can be lost as work moves between materials, process, device, and chip design tools.
04
Teams need practical ways to carry modeling results into later design decisions.
How ParaScalr AI works
Our AI shows how each capability has been checked.
Model limitations
Our AI describes where a model has been evaluated and tracks when a result needs additional review.
Practical evaluation
Our AI automatically creates engineering tasks and collects their results to decide capabilities needed in any workflow.