Antolin and Neural Concept partner to advance AI-driven automotive interior design. Antolin has entered a strategic partnership with Neural Concept to accelerate the use of artificial intelligence in automotive interior engineering. The collaboration aims to shorten design cycles, boost efficiency and support innovation across Antolin's global development teams. The agreement follows a successful pilot programme in 2024, after which Antolin began scaling Neural Concept's AI-first engineering platform across several product lines. The technology integrates into the company's existing design and simulation environments, enabling faster iterations and providing data-driven insights that support decision-making. "Artificial intelligence is becoming an essential tool to accelerate innovation and improve design efficiency," said Pedro Santesteban, Group VP - Global Engineering at Antolin. "Working alongside Neural Concept allows us to explore new ways of applying AI to strengthen our engineering processes and the capabilities of our teams." Interior lighting has become an increasingly important feature for shaping the in-car experience and reinforcing brand identity. Historically, Antolin's R&D teams relied on manual design refinements and lengthy simulation cycles, often taking weeks to complete. The introduction of AI-assisted workflows aims to streamline this process while meeting the stringent performance and safety requirements of global vehicle manufacturers. While the partnership is initially focused on lighting systems, both companies plan to extend their collaboration to a broader range of interior components, from plastic parts to more complex assemblies. Their long-term ambition is to redefine the entire interior design workflow, offering carmakers solutions that can be developed more quickly, sustainably and with greater customisation potential. Neural Concept's platform is expected to support Antolin in maintaining long-term competitiveness by giving engineering teams direct control over AI-enabled development tools. This, the companies say, will help future-proof Antolin's innovation capabilities. "Automotive interiors are evolving into one of the most critical areas of design differentiation for carmakers," said Dr Pierre Baqué, CEO and co-founder of Neural Concept. "By partnering with Antolin, a global key player in the field, we are helping their teams explore new creative possibilities in close coordination. Through AI-augmentation, we enable engineers to make smarter, data-driven decisions while eliminating the costly bottlenecks of manual iteration." By combining Antolin's industrial experience with Neural Concept's AI-driven engineering tools, the partnership aims to enhance competitiveness across the automotive supply chain. Both companies expect the collaboration to enable faster development cycles and support more ambitious design exploration as the industry continues to shift towards advanced, highly personalised interiors.

Neural Concept unveils AI Design Copilot to revolutionize engineering workflows. 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. "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. 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. AI staff writer with a passion for exploring the latest in AI technology. Specializing in original rewrites and insightful coverage of cutting-edge advancements. Dedicated to delivering clear, engaging news and analysis on the evolving AI landscape to keep readers informed and ahead of the curve.

Neural Concept, a global AI platform and leader in Engineering Intelligence powering next-generation product development, today announced it raised a $100 million Series C funding round led by Growth Equity at Goldman Sachs Alternatives, with participation from existing investors Forestay Capital, Alven, HTGF, D. E. Shaw Ventures and Aster Capital.