Nextmv provides software to optimize and simulate decision models for logistics operations, letting teams test trade-offs like delivery speed versus mileage in simulated environments. The company has launched nextmv Cloud to make its tools accessible to developers (not just operations researchers), with quick-start routing and delivery models and plans to expand into new verticals. Nextmv aims to simplify onboarding so developers can begin using the platform without a dedicated operations researcher. The firm plans to build a content arm to help users explore the software and eventually a community layer for sharing automations. On the heels of its latest fundraise, the company is focused on productizing and distributing its optimization technology more broadly. Founders Carolyn Mooney and Ryan O’Neil previously worked on similar problems at Grubhub. nextmv offers developer-focused building blocks to optimize and test complex decision models, with a specific focus on logistics operations. Its core products are Hop, a serverless solver with templates that searches large configurations of business rules, and Dash, a simulation framework that lets developers test models with real-world data without real-world costs. The founders, Carolyn Mooney and Ryan O’Neil, built simulations at GrubHub (Mooney also worked on simulations for Lockheed Martin), which informed the company’s product direction. nextmv positions itself as a democratization play for Operations Research, aiming to abstract solver complexity and integrate with modern ML/AI and software architectures. The company charges on a per-seat basis but does not publicly disclose pricing, and it cites usability as an ongoing challenge while envisioning future low-code/no-code capabilities. nextmv is YC-backed and has raised a total of $3.4M to date.

Total raised

$11M

Funding rounds

2

Latest round

Series A

Latest activity

Feb 2021