CFD and FEA simulations once took hours or days per run. Now surrogate models evaluate engine design changes in seconds.
A global powertrain manufacturer employing 19,000 engineers across five R&D centers, developing combustion, hybrid, and alternative fuel systems for the automotive industry.
Engineering teams were siloed across international sites, with CFD and FEA simulations taking hours or days per run and quality inspection done...
“The complexity of the current situation in the automotive industry, coupled with increasingly demanding regulatory and market requirements, compels us to accelerate without compromising on precision. That is the purpose of kAIros: to break through the current limits of competitiveness. As a result, AI has evolved from being an isolated tool into a strategic pillar that redefines our speed, efficiency, and industrial competitiveness on a global scale.”
Supplier of next-generation powertrain systems for the automotive industry.
Co-designed Horse Powertrain's Center of Excellence and its strategic pillars.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Horse Powertrain's Engineering simulation is part of this use case:
Related implementations across industries and use cases
QC simulations ran 15 hours and reset from scratch on every change. Digital twins cut that to 3.6 seconds.
Data silos blocked real-world simulation. Now, teams validate site physics and safety risks on a unified digital twin.
Engineers waited weeks for physical hardware to test code. Virtual units now enable immediate validation, cutting cycles to hours.
QC simulations ran 15 hours and reset from scratch on every change. Digital twins cut that to 3.6 seconds.
Data silos blocked real-world simulation. Now, teams validate site physics and safety risks on a unified digital twin.
Reconstruction cost capped how much fleet data Li Auto could simulate. A unified camera-LiDAR model halved cost and doubled scene coverage.
Fragmented support caused frustrating handoffs. Live AI translation now lets a small English-speaking team handle 14 languages instantly.
Engineers combed through 1,000-page packages to verify steel traceability codes. AI now extracts and matches them in minutes; they validate.
Fragmented data and manual workflows slowed care. Now, AI helps staff optimize surgical scheduling and physicians diagnose rare diseases.
CFD and FEA simulations once took hours or days per run. Now surrogate models evaluate engine design changes in seconds.
A global powertrain manufacturer employing 19,000 engineers across five R&D centers, developing combustion, hybrid, and alternative fuel systems for the automotive industry.
Engineering teams were siloed across international sites, with CFD and FEA simulations taking hours or days per run and quality inspection done...
“The complexity of the current situation in the automotive industry, coupled with increasingly demanding regulatory and market requirements, compels us to accelerate without compromising on precision. That is the purpose of kAIros: to break through the current limits of competitiveness. As a result, AI has evolved from being an isolated tool into a strategic pillar that redefines our speed, efficiency, and industrial competitiveness on a global scale.”
Supplier of next-generation powertrain systems for the automotive industry.
Co-designed Horse Powertrain's Center of Excellence and its strategic pillars.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Horse Powertrain's Engineering simulation is part of this use case:
Related implementations across industries and use cases
QC simulations ran 15 hours and reset from scratch on every change. Digital twins cut that to 3.6 seconds.
Data silos blocked real-world simulation. Now, teams validate site physics and safety risks on a unified digital twin.
Engineers waited weeks for physical hardware to test code. Virtual units now enable immediate validation, cutting cycles to hours.
QC simulations ran 15 hours and reset from scratch on every change. Digital twins cut that to 3.6 seconds.
Data silos blocked real-world simulation. Now, teams validate site physics and safety risks on a unified digital twin.
Reconstruction cost capped how much fleet data Li Auto could simulate. A unified camera-LiDAR model halved cost and doubled scene coverage.
Fragmented support caused frustrating handoffs. Live AI translation now lets a small English-speaking team handle 14 languages instantly.
Engineers combed through 1,000-page packages to verify steel traceability codes. AI now extracts and matches them in minutes; they validate.
Fragmented data and manual workflows slowed care. Now, AI helps staff optimize surgical scheduling and physicians diagnose rare diseases.