Select multiple runs from your model’s run history for a side-by-side comparison of their KPIs and model configuration. Answer performance questions in a few clicks and determine what to test next to continue improving your model.

This interview explores perspectives on growth and adoption of optimization across practitioners, challenges and opportunities in the optimization space, thinking about optimization in broader AI strategies, and DecisionOps + Hexaly.

Create and manage queues directly in Nextmv to easily prioritize model runs. Configure prioritization at runtime to prevent blocking the queue with large runs or at the model version level to ensure production runs have precedence.

When Veho’s data science team wanted to evolve their route optimization with a new solver, they leveraged Nextmv’s DecisionOps platform to transition to Hexaly in a matter of weeks.

Tune your Gurobipy and scikit-learn models with configurable options so your team can prototype faster, experiment with ease, and manage their models with more insight on Nextmv’s DecisionOps platform.