Neural Concept, the global leader in Engineering Intelligence and AI-driven product development, has officially launched its AI Design Copilot, a pioneering solution that integrates spatial reasoning, physics awareness, and CAD-ready geometry generation at enterprise scale. This launch signals a major shift in the engineering landscape, positioning Engineering Intelligence as the central AI layer guiding the entire design process from initial intent to final validation. The introduction of the AI Design Copilot comes on the heels of Neural Concept’s rapid market growth, fueled last month by a $100 million Series C funding round led by Goldman Sachs.

Modern engineers face unprecedented complexity as products increasingly span multiple physics domains, and the number of feasible design options has grown beyond what manual processes can handle. Traditional CAD workflows struggle to keep up, while generic AI models fail due to limited geometric and physical understanding. Neural Concept’s AI Design Copilot addresses these challenges by enabling engineers to iterate across full design sets, explore millions of variants in multi-physics systems, and shift from isolated concept design to continuous, comparative discovery. Industries ranging from automotive, aerospace, semiconductors, consumer electronics, to energy and industrial systems are set to benefit from this innovation. The new copilot will initially launch within the Neural Concept platform, with broader access expected later this quarter.

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“Our AI Design Copilot closes the loop from concept to decision, enabling engineers to explore, test and refine designs at a scale that simply wasn’t possible before,” said Dr. Pierre Baqué, CEO and founder of Neural Concept. “What we’re seeing across our customers is a fundamental change in how teams work: evaluating more design scenarios in parallel, uncovering optimizations earlier, and moving faster from concept to validation. This is Engineering AI emerging as the next great industrial shift that will empower engineers to focus on the hardest problems and deliver more efficient, safer, higher-performing products that will transform the world for the better.”

Unlike conventional AI design solutions that rely on limited text-based reasoning, Neural Concept’s platform is fully physics and geometry-aware. Key features of the AI Design Copilot include:

  • Instant generation of CAD-ready geometry from high-level design concepts, reducing weeks of manual modeling to mere minutes.
  • Exploration of 10 to 1,000 times more design variants per iteration, allowing engineers to evaluate far more alternatives and optimize faster.
  • Seamless multi-physics simulation integration, covering thermal, fluid dynamics, crash, and electromagnetics scenarios, cutting manual workloads by up to 90% while accelerating smarter decision-making.

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As an open Engineering Intelligence platform, Neural Concept integrates with leading AI and 3D visualization ecosystems, including NVIDIA Omniverse, enabling scalable visualization and assessment of complex designs within existing industrial workflows.

Over the past 18 months, Neural Concept has quadrupled enterprise revenue, serving over 50 global enterprises such as Subaru, General Motors, General Electric, Leonardo Aerospace, and four Formula 1 teams. The company plans to continue expanding its AI-driven design workflows and advancing the capabilities of its Engineering Intelligence platform.

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