"The gating factor isn't model quality. It's making sure we're focusing on the problems where AI actually changes the engineering outcome." That was Luca Z.'s takeaway after a busy day at CTI Symposium: a presentation on Engineering Intelligence in powertrain development & a panel with Tony Pistagnesi, Florian Rohde, Bernd Graef, and Alok Warey on what it takes to move AI from proof-of-concept to real engineering practice. Thanks CTI SYMPOSIUM - Automotive • Powertrain • Systems for a great event! 🙏 #CTISymposium #EngineeringIntelligence #Powertrain #Automotive © CTI Symposium USA 2026/Photo by Vogt
Neural Concept
Softwareentwicklung
Lausanne, Switzerland 19.393 Follower:innen
NC is the leading AI-first engineering platform, adding intelligence on top of your existing digitalization layer.
Info
Founded in 2019, Neural Concept builds the intelligence layer for engineering software, enabling companies to design and develop complex products faster and more efficiently. Its AI-first engineering platform embeds physics-aware intelligence directly into design and simulation workflows, allowing engineering teams to move beyond isolated tools and manual iteration toward continuous, AI-augmented decision-making. The company drives product development across major industries, including automotive, aerospace, energy, consumer electronics, semiconductors and defense, working with the world’s leading global OEMs and component suppliers. Neural Concept is headquartered in Switzerland, with a growing global presence including offices in Munich, New York and the Asia-Pacific region and is backed by global investors, including Goldman Sachs, Forestay Capital and D. E. Shaw Group.
- Website
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http://www.neuralconcept.com
Externer Link zu Neural Concept
- Branche
- Softwareentwicklung
- Größe
- 51–200 Beschäftigte
- Hauptsitz
- Lausanne, Switzerland
- Art
- Privatunternehmen
- Gegründet
- 2018
- Spezialgebiete
- AI, Deep Learning, Simulations, CAE, Machine Learning, Computer Assisted Design, Engineering, Simulation-Driven Design, CAD, Product Design, Engineering Intelligence und Agentic AI
Orte
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Primär
Wegbeschreibung
Innovation Park EPFL, Building C
Lausanne, Switzerland 1015, CH
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Wegbeschreibung
201 Montgomery St
Jersey City, New Jersey 07302, US
Beschäftigte von Neural Concept
Updates
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60 seconds to present Neural Concept and AI-driven physical product design? Challenge accepted 💪🏻 Thomas von Tschammer will be representing Switzerland at the European Innovation Summit in a pitch segment moderated by TechCrunch, alongside 12 founders representing their countries. The evening, happening during NY Tech Week, brings together AI founders, VCs, and Fortune 500 operators around one question: what does it actually take to scale an AI-native business today. Thank you Swissnex 🙏🏻 #EngineeringIntelligence #NYTechWeek #AIforEngineering
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Modeling an F1 car can take thousands of processor hours. Start exploring pitch and yaw, and it's tens of thousands more. Pierre Baqué spoke to Ars Technica about how AI-driven physical product design changes this: "It's really a way to go from 100 or 1,000 CFD runs to 1 million data points at the end of the day.” Read more ➡️ https://lnkd.in/e5u9bG2J #F1 #EngineeringIntelligence #Aerodynamics #Motorsport
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Designing thermal systems for EV batteries means balancing pressure drop, temperature distribution, and mass flow while product complexity keeps growing and every new program raises the performance bar. Chase Allen will be at #BATTECHCalifornia to show how Tier-1 teams are already navigating this, exploring 100,000 design variations in 6 hours and cutting development cycles by 50% thanks to Engineering Intelligence. 📍 BATTECH 2026, Palo Alto, CA #EngineeringIntelligence #EVBattery #ThermalEngineering #BATTECH2026
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Neural Concept hat dies direkt geteilt
Innovation teams sometimes slow down innovation. When we launched Neural Concept, our first customers were dedicated R&D and innovation groups at large European manufacturers. Curious, smart, genuinely excited. But structurally, they were intermediaries: they had to resell the technology internally to their engineers in the operational teams, who held the actual business pain. We hadn’t reached our customers, we’d just passed our selling problem to someone with less context and no skin in the game on whether it was us or anyone else. In the end, real traction came from a completely different profile: operational engineers under cost and delivery pressure, focused on hitting their targets. That’s where our Engineering Intelligence actually clicked: with engineers for whom innovation was never the goal, just the outcome. If your AI adoption is stalling, ask yourself: who owns it — an innovation team or the engineers with the actual problem to solve? #EngineeringIntelligence #AI #InnovationParadox
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Neural Concept hat dies direkt geteilt
Few engineering environments are as unforgiving as F1 aerodynamics. Jonathan Gitlin at Ars Technica asked me what AI changes about how teams explore design possibilities and what it takes to make it work at race pace. Engineering Intelligence can unlock so much more design exploration that it almost feels magical! But going from 100 CFD runs to 1 million data points is no magic trick, it's "just" what AI-driven workflows look like in F1. More on https://lnkd.in/eygvf4Zg #F1 #EngineeringIntelligence #Aerodynamics
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Fluid dynamics + thermal management + structural mechanics + electromagnetics in one design space? Matt Ellis will be at NAFEMS Americas Conference to show how physics and geometry-aware AI makes multi-physics exploration possible, enabling 10 to 1,000x more design variants per iteration and cutting development cycles from 18 to 7 months. Come find Matt if you're attending 👋 📍May 29, 2026 - 10AM - St Charles, MO, USA #NAFEMS #EngineeringIntelligence #MultiPhysics #DesignExploration
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What does it take to explore aerodynamic design like an F1 team? Last week in Detroit, 30+ engineers got hands-on with AI-driven geometry generation and aerodynamic design space exploration on our Engineering Intelligence platform. The first Neural Concept Bootcamp of the season was a success! More to come ☺️ Thanks to Kevin Baughey, Bill Foy ☁️ and the broader Amazon Web Services (AWS) team for hosting. #EngineeringIntelligence #Automotive #AWS #AIinEngineering
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Unveiling Neural Concept 4.7: seats are filling fast! Engineering Intelligence is taking a major step forward with this new release, giving teams the ability to build engineering AI, own it and run it at scale. On May 11, join us for a live technical dive into everything 4.7 unlocks. 4:30pm CET | 10:30am EST | 11:30pm KST/JST Apply to attend 👇🏻 #EngineeringIntelligence #Engineering #AIDesign
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Try telling a powertrain engineer in 2019 they'd explore thousands of design variants per cycle without having to become a simulation expert...they'd just need an agent that already is one 😈 Luca Z. is speaking at CTI Symposium on May 20. Come see what Engineering Intelligence looks like in practice! 📍 Novi, MI, USA — Booth K, with Luca & Evan Brennan onsite 👋🏻 CTI SYMPOSIUM - Automotive • Powertrain • Systems #EngineeringIntelligence #Powertrain #CTISymposium #Automotive
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