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Quickly compare runs of your decision model in the Nextmv UI

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.

In conversation about DecisionOps with Fred Gardi, founder and CEO of Hexaly

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.

Simplify optimization model run queueing with Nextmv's DecisionOps platform

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.

How Veho switched to a new optimization solver in under one month with DecisionOps

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.

Automatically expose native Gurobipy and scikit-learn parameters as options in Nextmv

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.

Build decision workflows to automate multiple steps in an optimization pipeline

Looking for an MLflow experience for optimization? Create and manage end-to-end decision workflows in Nextmv with steps such as data prep, regression, optimization, and visualization. Press play to kick off an automated workflow and see live progress via a flow diagram and logs in the Nextmv UI.