Schaeffler Group
Factory simulation
Programming robots took hundreds of hours. Using digital twins, engineers now train precise tasks in half a day.
- Robot task development time cut from hundreds of hours to 0.5 days
Data silos blocked real-world simulation. Now, teams validate site physics and safety risks on a unified digital twin.
A global construction and infrastructure company based in France with over 35,600 employees operating in more than 50 countries.
Digital workflows were sequential and fragmented, requiring laborious data conversion that forced teams to reduce update frequencies. This lack of...
Sustainable construction and public works for buildings, infrastructure, and energy.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Related implementations across industries and use cases
Programming robots took hundreds of hours. Using digital twins, engineers now train precise tasks in half a day.
Factory design was slow and siloed. Now, digital twins run thermal simulations 150x faster, validating global layouts in minutes.
Teams took thousands of manual photos. Now, AI maps a 360° video walk to plans in minutes, cutting documentation time by 90%.
Factory design was slow and siloed. Now, digital twins run thermal simulations 150x faster, validating global layouts in minutes.
Engineers spent a week testing prompts on physical hardware. A cloud playground now validates commands in three days.
Scattered expertise across 40 engineering topics slowed global teams. Now, an AI agent instantly surfaces secure, curated best practices.
Rigid filters forced buyers to act like admins. Now, they describe a "cottage feel," and AI scans millions of listings to find a match.
Manual translation dragged 60-minute calls to 90+, silencing experts. Now, live AI captions let teams collaborate in native languages.
Fleet repair estimates took up to 48 hours. Autonomous agents now process them in 30 minutes, absorbing a 10x volume surge.
Data silos blocked real-world simulation. Now, teams validate site physics and safety risks on a unified digital twin.
A global construction and infrastructure company based in France with over 35,600 employees operating in more than 50 countries.
Digital workflows were sequential and fragmented, requiring laborious data conversion that forced teams to reduce update frequencies. This lack of...
Sustainable construction and public works for buildings, infrastructure, and energy.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Related implementations across industries and use cases
Programming robots took hundreds of hours. Using digital twins, engineers now train precise tasks in half a day.
Factory design was slow and siloed. Now, digital twins run thermal simulations 150x faster, validating global layouts in minutes.
Teams took thousands of manual photos. Now, AI maps a 360° video walk to plans in minutes, cutting documentation time by 90%.
Factory design was slow and siloed. Now, digital twins run thermal simulations 150x faster, validating global layouts in minutes.
Engineers spent a week testing prompts on physical hardware. A cloud playground now validates commands in three days.
Scattered expertise across 40 engineering topics slowed global teams. Now, an AI agent instantly surfaces secure, curated best practices.
Rigid filters forced buyers to act like admins. Now, they describe a "cottage feel," and AI scans millions of listings to find a match.
Manual translation dragged 60-minute calls to 90+, silencing experts. Now, live AI captions let teams collaborate in native languages.
Fleet repair estimates took up to 48 hours. Autonomous agents now process them in 30 minutes, absorbing a 10x volume surge.