Nissan
Software development platform
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
- 75% reduction in software test execution time
Engineers waited weeks for physical hardware to test code. Virtual units now enable immediate validation, cutting cycles to hours.
An automotive technology provider navigating the industry's shift from discrete control units to centralized high-performance computing architectures.
Software testing relied on physical hardware availability, causing development cycles to drag on for weeks. Additionally, engineers struggled to...
“The solutions we have developed together with AWS allow us to reduce our operational costs by around 40% and improve the accuracy of algorithym by 10%.”
Aumovio's Automotive software development is part of this use case:
Hardware and software solutions for software-defined and autonomous vehicles.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Manual testing couldn't keep pace. Now, AI agents validate code without scripts, cutting test durations by 60%.
Programming robots took hundreds of hours. Using digital twins, engineers now train precise tasks in half a day.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Manual testing couldn't keep pace. Now, AI agents validate code without scripts, cutting test durations by 60%.
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.
Engineers waited weeks for physical hardware to test code. Virtual units now enable immediate validation, cutting cycles to hours.
An automotive technology provider navigating the industry's shift from discrete control units to centralized high-performance computing architectures.
Software testing relied on physical hardware availability, causing development cycles to drag on for weeks. Additionally, engineers struggled to...
“The solutions we have developed together with AWS allow us to reduce our operational costs by around 40% and improve the accuracy of algorithym by 10%.”
Aumovio's Automotive software development is part of this use case:
Hardware and software solutions for software-defined and autonomous vehicles.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Manual testing couldn't keep pace. Now, AI agents validate code without scripts, cutting test durations by 60%.
Programming robots took hundreds of hours. Using digital twins, engineers now train precise tasks in half a day.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Manual testing couldn't keep pace. Now, AI agents validate code without scripts, cutting test durations by 60%.
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.