Physical testing delayed launches. AI now automates virtual pipelines, letting engineers validate designs without building prototypes.
A global automotive engineering partner specializing in development, simulation, and testing methodologies for the mobility industry.
Traditional vehicle development relied on isolated phases and physical hardware prototypes, creating bottlenecks for software-defined vehicle...
“Die Kombination aus tiefgehendem Engineering-Know-how von AVL und Microsofts führender Cloud- und KI-Technologie ermöglicht völlig neue Ansätze in der Fahrzeugentwicklung. Skalierbare, simulationsgetriebene Methoden optimieren nicht nur den Ressourcenverbrauch, sondern beschleunigen auch die Markteinführung innovativer Mobilitätslösungen.”
AVL's Virtual vehicle development is part of this use case:
Engineering, simulation, and testing systems for automotive and mobility industries.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Engineers waited weeks for physical hardware to test code. Virtual units now enable immediate validation, cutting cycles to hours.
Sensor data overwhelmed local servers. Engineers now run natural language queries 5x faster via AI, cutting PoC timelines by 80%.
Programming robots took hundreds of hours. Using digital twins, engineers now train precise tasks in half a day.
Programming VW robots for roof liners took months of manual tuning. Virtual simulation cut setup time to <1 day.
Conflicting rules across 3,000 services blocked qualified drivers. AI now traverses a graph to validate dependencies in milliseconds.
Sourcing native speakers for 14 markets was costly. Now, AI handles 40% of routine queries and translates live for a central English team.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Physical testing delayed launches. AI now automates virtual pipelines, letting engineers validate designs without building prototypes.
A global automotive engineering partner specializing in development, simulation, and testing methodologies for the mobility industry.
Traditional vehicle development relied on isolated phases and physical hardware prototypes, creating bottlenecks for software-defined vehicle...
“Die Kombination aus tiefgehendem Engineering-Know-how von AVL und Microsofts führender Cloud- und KI-Technologie ermöglicht völlig neue Ansätze in der Fahrzeugentwicklung. Skalierbare, simulationsgetriebene Methoden optimieren nicht nur den Ressourcenverbrauch, sondern beschleunigen auch die Markteinführung innovativer Mobilitätslösungen.”
AVL's Virtual vehicle development is part of this use case:
Engineering, simulation, and testing systems for automotive and mobility industries.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Engineers waited weeks for physical hardware to test code. Virtual units now enable immediate validation, cutting cycles to hours.
Sensor data overwhelmed local servers. Engineers now run natural language queries 5x faster via AI, cutting PoC timelines by 80%.
Programming robots took hundreds of hours. Using digital twins, engineers now train precise tasks in half a day.
Programming VW robots for roof liners took months of manual tuning. Virtual simulation cut setup time to <1 day.
Conflicting rules across 3,000 services blocked qualified drivers. AI now traverses a graph to validate dependencies in milliseconds.
Sourcing native speakers for 14 markets was costly. Now, AI handles 40% of routine queries and translates live for a central English team.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.