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ProfiLLM demonstrates that an agentic LLM pipeline can move beyond structured numerical features in a live, millisecond-latency industrial dispatcher and produce measurable improvements in real-world GMV and completion rates — validated by a 14-day online A/B test on DiDi's production system.
Researchers in specialized scientific fields can use this framework to connect coding agents directly to their own domain documentation, bypassing the need for expensive model fine-tuning.
Network engineers and platform teams can use Aether's agentic approach as a blueprint for replacing slow, manual change validation pipelines with automated AI-driven workflows that catch errors before they reach production.