Nextmv is a DecisionOps platform that accelerates optimization AI teams with tools for deployment, testing, CI/CD, collaboration, and management of decision models. With Nextmv, developers can create scalable, custom decision services complete with unique API endpoints and options to integrate with popular solvers and modeling solutions. Nextmv is a globally distributed Series A startup backed by FirstMark Capital, YCombinator, and leaders from Stripe, Twilio, GitHub, and Seamless.
External link for Nextmv
Philadelphia, PA 19122, US
Nextmv reposted this
This is the open-source ideal: Nextmv uses HiGHS, helps make it work better for them, and we share the advance with all our other users. Thanks Ryan O., Ivet Galabova and Marius Merschformann 🙏
👏 🙌 🎉 to Ivet Galabova for the new #Python interface to the HiGHS #optimization solver! And a hearty thanks to Marius Merschformann for helping with the linux/arm64 wheel build. It appears we can now deploy highspy applications directly into Nextmv infrastructure.
Join our Co-Founder and CEO, Carolyn Mooney, for a live workshop on July 25. Get hands-on with our DecisionOps platform in this guided session. Create a decision app, run experiments, and ask our team your questions! #decisionscience #datascience #orms #decisionops #operationsresearch
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We’re thrilled that Ryan O. had the opportunity to present at the inaugural HiGHS workshop this week. Great group of people, presentations, and open source project! Want to hear more about how to streamline MIP model formulation through testing and horizontal computing? Send us a message! #orms #operationsresearch #decisionOps #mixedintegerprogramming #decisionscience
How can we combine machine learning demand forecasts with operations research decision models more often? Ryan O. looks at one approach that leverages horizontal computing with a #logistics example: https://hubs.la/Q02Dhn970 He demos: → Generating and ensembling 3 different demand forecasts (#Prophet, #StatsModels, and #ORTools + LAD regression) → Feeding the forecast output into a HiGHS-based scheduling model → Using a consensus model on the scheduling output to generate the input for a vehicle routing model Many thanks to the Euro Practitioners’ Forum webinar series for hosting Ryan for this talk 🙌 #machinelearning #ai #orms #forecasting #supplychain #datascience #decisionscience #decisionops
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Speaking today about the challenges of #Optimization in real-time. How to take your model from your local execution to an engineered software component. Day 2 at #INFORMS #Colombia 2024. Let’s chat!
To solve the complex transportation challenges of school districts nationwide, HopSkipDrive leverages Nextmv’s optimization building blocks to develop its student routing solution. Learn more: https://hubs.la/Q02BydXZ0 #HopSkipDrive #orms #routeoptimization #decisionops #informs #schooltransportation
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Our partner, Nextmv, has just introduced a new integration that pairs all the Gurobi features you know and love with the Nextmv DecisionOps platform to accelerate how you perform historical and online tests, roll out to production with confidence, and collaborate on model development. Read more: https://lnkd.in/gZtw_Xm5
Visualize routes, clusters, and more with an open source, CLI tool. Join us June 13 as Marius Merschformann demos custom viz for vehicle routing using Nextplot, OR-Tools, and VROOM. We'll explore how to customize the map, analyze routes, debug location data, and more! #vrp #orms #logistics #opensource #visualization #routing #optimization #datascience #decisionscience #vroom #routeoptimization #fleetmanagement
Our upcoming techtalk on June 13 covers open source vehicle routing and visualization. Join Marius Merschformann for a live demo of solving VRPs with OR-Tools and VROOM – and analyzing solutions with Nextplot, an open source tool for visualizing routes, clusters, and more. #orms #opensource #routing #optimization #decisionscience #datascience
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We're excited to have Ryan O. participate and present at the upcoming HiGHS workshop. Make sure to check it out!
Checking out the dinner venue for the HiGHS workshop (26-28 June). We're accepting abstracts until 14 June, and registrations until it starts, but you might not get to eat at Scottskitchen. To register, see https://lnkd.in/eGBiPssg #StewartBrewing, #FirstWorldProblemsIPA
How can Streamlit-based UIs help accelerate stakeholder buy-in for decision models? Join us this Thursday as the AMPL Optimization Inc. and Nextmv teams explore just that with a live demo of a Streamlit app for a facility location decision model: https://hubs.la/Q02x537C0 #streamlit #ampl #decisionscience #orms #operationsresearch #decisionOps