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We sit down with Michael Bogomolny, Ph.D. of InfinitFORM, which has blasted through the hype of topology optimization with a deterministic, GPU-accelerated engine that creates parts that are both optimized and manufacturable. The result: shorter design cycles because prismatic parts are ready for machining.
In this podcast, Michael talks about:
• Funding update and market momentum
• Why mesh-based generative design fails machining
• Manufacturable, parametric outputs with feature trees
• AI as assistant for setup, critique and reports
• GPU solvers for fast, deterministic results
• Cloud and on‑prem options for regulated teams
• SolidWorks add‑in and CAD‑native export
• Roadmap for injection molding and die casting
• Beta learnings and January release timing
• Trust, IP strategy and integration into workflows
By Roopinder TaraWe sit down with Michael Bogomolny, Ph.D. of InfinitFORM, which has blasted through the hype of topology optimization with a deterministic, GPU-accelerated engine that creates parts that are both optimized and manufacturable. The result: shorter design cycles because prismatic parts are ready for machining.
In this podcast, Michael talks about:
• Funding update and market momentum
• Why mesh-based generative design fails machining
• Manufacturable, parametric outputs with feature trees
• AI as assistant for setup, critique and reports
• GPU solvers for fast, deterministic results
• Cloud and on‑prem options for regulated teams
• SolidWorks add‑in and CAD‑native export
• Roadmap for injection molding and die casting
• Beta learnings and January release timing
• Trust, IP strategy and integration into workflows