Shadow MLO
Shadow-MLO uploads ML models, tests runtime candidates, and recommends the best deployable artifact using quality, latency, and memory tradeoffs with clear evidence and agent reasoning.
Core trick
Benchmarks uploaded models across runtime candidates and ranks them on quality, latency, and memory with recorded evidence.