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%.”
Hardware and software solutions for software-defined and autonomous vehicles.
Cloud computing platform and on-demand infrastructure services.
Aumovio's Automotive software development is part of this use case:
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.
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.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Rebuilding apps for iOS took a month. AI now generates code directly from Android logic, cutting the adaptation cycle to a week.
Manual reviews and language gaps dragged repairs to a week. AI now diagnoses faults in 100 languages, halving the cycle.
Static forms ignored cultural nuance. Now, AI agents speak local dialects to capture leads and automate feedback calls.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
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%.”
Hardware and software solutions for software-defined and autonomous vehicles.
Cloud computing platform and on-demand infrastructure services.
Aumovio's Automotive software development is part of this use case:
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.
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.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Rebuilding apps for iOS took a month. AI now generates code directly from Android logic, cutting the adaptation cycle to a week.
Manual reviews and language gaps dragged repairs to a week. AI now diagnoses faults in 100 languages, halving the cycle.
Static forms ignored cultural nuance. Now, AI agents speak local dialects to capture leads and automate feedback calls.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.