nTop Summit 2026

Watch presentations from nTop Summit 2026 on demand.

See how teams are compressing design cycles from months to weeks (and weeks to days) using methods that let you explore hundreds of design variants instead of being limited to a handful. Learn production-proven techniques for automated design exploration, robust MDO processes, and AI-assisted optimization that are delivering results on real programs today.

Faster Iteration, Earlier Insight to Accelerate Complex System Development

Bradley Rothenberg, CEO/Founder, nTop

The US defense industrial base faces a production and cost crisis that traces back to a single root cause — the design process can't keep up. This session covers why released design throughput is the new metric that matters, and how nTop's geometry layer, paired with simulation and physics AI partners, is already powering the requirements-to-flight-hardware workflows that will close the gap.

Specter Aerospace - Rapid Hypersonic Vehicle Design with nTop

Arun Chundru, CTO, Specter Aerospace
Ben Gomez del Campo, Performance Analyst MDAO Lead, Specter Aerospace

Hypersonic munitions development demands a design-build-test cycle measured in weeks, not years — and Specter Aerospace is doing it. This session covers how they use nTop and additive manufacturing to sweep full system configurations across 50K+ variants, compress engine revision cycles to under a month, and stay ahead of a threat environment that doesn't wait.

Unbreakable Geometry Meets Multi-Physics Optimization - nTop + Ansys for Automated Design Exploration

Scott Parent, Field CTO, Ansys

AI-accelerated engineering workflows are only as good as the geometry feeding them — and that's exactly where most pipelines break down. This session covers how Ansys and nTop are connecting parametric geometry to mainstream simulation solvers to enable automated design-of-experiments, surrogate model training, and an AI copilot roadmap built for engineering teams.

Siemens Energy - Powering a Robust MDO Process with nTop for Turbine Blade Optimization

Steven Mueller, Siemens Energy
Alexander Spitzer, MDO Solutions Engineer, Siemens Energy

Siemens Energy pushes gas turbine blades to the absolute limits of material science, where optimizing internal cooling geometry is the last frontier for efficiency gains — and conventional CAD keeps breaking. This session covers how they integrated nTop into their MDO workflow to run parametric blade cooling design at scale, hands-off.

Physics AI - Inference for Real-Time Design Optimization

Nico Haag, Co-Founder & Director of Simulation Engineering, PhysicsX

Physics AI models are only as powerful as the geometry and data pipelines feeding them — and most AI pilots fail because those foundations aren't in place. This session covers how Neural Concept's end-to-end physics AI platform, integrated with nTop's geometry engine, is cutting development cycles by up to 75% across aerospace, automotive, and energy — and where pre-trained foundation models are taking the field next.

The Future of AI-Assisted Engineering

Marc Jacobs, CTO, nTop

Every AI workflow in engineering eventually hits the same wall — geometry. This session covers nTop CTO Marc Jacobs' vision for nTop 6: a containerized, headless, open-platform geometry and physics infrastructure built to run at production scale, so AI tools, agents, and simulation pipelines finally have the substrate they need to operate without breaking.

nTop Summit Panel Talks

Adapting Engineering Workflows for Modern Defense Programs

Perspective and commentary on underlying causes and examples of program acceleration and how procurement processes have changed. What are the implications on engineering teams needing to meet these timelines.

Speakers:
Jan Vandenbrandem nTop | Former DARPA & Boeing
Joel Malo de Molina, Technical Director @ Specter Aerospace
Ian Muceus, Co-Founder & CTO @ Firestorm
Mike Mutty, Former Director @ DARPA
Ed Mehr, CEO & Cofounder @ Machina Labs

How a Connected Ecosystem Enables Rapid Design Exploration

The AI-accelerated engineering stack isn't one tool — it's an ecosystem. This panel brings together nTop's partner network across physics AI, EM simulation, and agentic workflows to show how geometry, data, and continuous integration are converging to make the full requirements-to-flight-hardware pipeline real.

Speakers:
Bradley Rothenberg, CEO @ nTop
Thomas von Tschammer, Cofounder and GM USA @ Neural Concept
Maggie Johnson-Pint, VP of Engineering/Product/Design @ Istari Digital
Arya Hezarkhani, CTO @ Arena AI
Peter Lyu, Field CTO and VP of Solutions @ Luminary Cloud