Case Study: DEEPROUTE.Ai achieves end-to-end traceability in intelligent driving R&D with Meegle

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Preview of the DEEPROUTE.Ai Case Study

DEEPROUTE.Ai Revolutionizing Intelligent Driving Through Collaborative Innovation

DEEPROUTE.Ai, a company building AI for the physical world, faced the core challenge of balancing agile development for its intelligent driving systems with the stringent, document-heavy compliance standards of the automotive industry. They needed a way to ensure transparency and traceability for their complex end-to-end "black box" models while managing over 5,000 requirements and avoiding delays. To tackle this, they turned to the vendor Meegle for a solution.

By integrating Meegle's platform with its ASPICE plug-in and APIs, DEEPROUTE.Ai built a bidirectionally traceable development system. This allowed them to decouple and manage processes, tagging thousands of requirements and defects for efficient tracking and resolution. The solution with Meegle enabled the team to process critical defects in under 48 hours, leading to a fundamental shift from reactive firefighting to proactive prevention. This operational leap supports the rollout of their technology to over 200,000 vehicles.


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