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
Context Windows brings together credible AI case studies from the open web,
so you can pick and prioritise the use cases that are already working.
Real-world implementations from
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
Integration projects stretched over months, waiting on scarce specialists at each stage. Axon now guides teams through every step in place.
Each Angular upgrade consumed months of manual testing. Agentic AI finds and fixes breaking changes, freeing engineers for clinical work.
More output meant more headcount. AI coding agents shifted 700 engineers toward harder problems and cut new-hire ramp-up in half.
Debugging scattered across individual notebooks meant week-long fixes. One shared platform now catches errors before customers do.
1,000 extractors, each needing 5–10 manual steps to configure—AI agents now write the ETL scripts. Full scope done in 4 weeks, not 19.
Context Windows brings together credible AI case studies from the open web,
so you can pick and prioritise the use cases that are already working.
Real-world implementations from
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
Integration projects stretched over months, waiting on scarce specialists at each stage. Axon now guides teams through every step in place.
Each Angular upgrade consumed months of manual testing. Agentic AI finds and fixes breaking changes, freeing engineers for clinical work.
More output meant more headcount. AI coding agents shifted 700 engineers toward harder problems and cut new-hire ramp-up in half.
Debugging scattered across individual notebooks meant week-long fixes. One shared platform now catches errors before customers do.
1,000 extractors, each needing 5–10 manual steps to configure—AI agents now write the ETL scripts. Full scope done in 4 weeks, not 19.