Use case
Model comparison, consistency testing, latency profiling, and automated eval suites across providers and hardware.
Choosing and trusting a model means comparing quality, latency, and cost across providers and versions. Manual spreadsheets and one-off scripts do not scale.
NEO runs structured benchmarks and regression suites, tracks cost and quality tradeoffs, and surfaces regressions before they hit production so you can pick models with evidence.
