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.
Standardize and manage custom visuals as data assets in Nextmv alongside your model. Accelerate your workflows with interactive charts, plots, and maps that automatically render alongside run details for streamlined analysis and collaboration.
Push your Python decision model from a local file to a remote application in minutes – whether you’re using a notebook or running in another Python environment. Conduct tests with fully featured experimentation tooling, collaborate and share results with teammates, and get observability into model performance.
Working in Python? Stay in Python! Develop and deploy your decision model directly from your Python environment. Updates to our SDK make it even easier to operationalize custom decision models safely and quickly.
If you’re building decision models in Python, our Python SDK and decision science platform make the development process faster (and easier) so you can get your model safely into production.
Marius shares the origin story of Nextplot, explains how it's built, and demonstrates how to use it for plotting points and routes.
With the Nextmv Shift Scheduling app, you can start automating shift scheduling decisions in minutes.
Register to watch a presentation, demo, and AMA time with the Nextmv team. Get an overview of the newly released custom decision optimization platform, see it in action, and check out a preview of our multi-solver capabilities.
