Coreform Inc. launched Coreform Cubit 2026.8 with a new RPC command-line interface allowing an LLM agent to operate Coreform Cubit.
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Coreform Cubit 2026.8 ships with a new RPC command-line interface that lets an LLM agent operate Coreform Cubit itself. We're demonstrating the process on Friday, Septem…
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Coreform Inc.
Cut model prep time, not corners.
- Industry
- Software Development
- Company size
- 11–50 employees
About Coreform Inc.
In simulation, the hard part is not running the analysis. It is getting the model ready to run. Engineers routinely spend more time cleaning up geometry and building meshes than they spend on the simulation those models feed. The work is slow, manual, and easy to get wrong, and a bad mesh quietly corrupts every result downstream. This is where most of the schedule disappears and where most of the risk hides. Coreform exists to fix that. Coreform Cubit delivers the industry's leading hexahedral meshing and model preparation, cutting prep time while protecting the quality your solver depends on. Coreform IGA for Abaqus removes the meshing step entirely for a major class of problems, letting you run isogeometric analysis directly on your fully featured CAD geometry rather than an approximation of it. The payoff is the same whatever you simulate: trustworthy results with far less effort. Whether you run Abaqus, another commercial solver, or your own in-house code, Coreform gets you to an answer you can rely on, faster. Founded in 2014. Based in Orem, Utah.
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Latest activity from Coreform Inc.
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Products & Services
Coreform Inc. gave Claude access to Coreform Cubit's public Python API and a cross-field quadrilateral meshing module.
Presence & Recognition
Coreform Inc. is showing the whole thing live on Friday, September 11, featuring a live demonstration of the new RPC interface, cross-field quadrilateral meshing module, and real preprocessing work in natural language.
Research & Knowledge
Coreform Inc. published a new paper in Finite Elements in Analysis and Design by K M Zaheen Nasir and his coauthors integrating a machine-learning surrogate constitutive model into finite element simulations of thermal and irradiation-assisted creep in HT9 ferritic-martensitic steel.
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