We're excited to announce that we've raised $8 million in funding for our Series A! FirstMark Capital led this round (which officially closed in December 2020) with participation from Dynamo Ventures, 2048 Ventures, Atypical Ventures, and GreenHawk Capital. We're thrilled to see FirstMark and our other investors from our seed round — which closed just a few months ago — double down on the Nextmv mission and vision. We are also very excited to welcome a terrific group of individual investors from the developer tools and logistics spaces, including GitHub CTO Jason Warner, Stripe COO Claire Johnson, Twilio Community VP Ricky Robinett, and Seamless Founder Jason Finger.
Since our founding, we've been moving incredibly fast to build a great company with great products. We feel fortunate to have this fresh round of support. It demonstrates the conviction our investor community has for our company's vision, and puts additional momentum behind the application of decision science to solve business problems across a wide range of use cases and industries.
This is what we're looking to do at Nextmv: bring the power of decision science to every developer. Decision science is the missing link between data science and operations. Where data science answers “what's going on?” and machine learning addresses “what's going to happen?”, decision science answers "so what do we do about it?"
Our platform empowers developers with complex mathematical tools that can automate and optimize their operations. Which delivery drivers get assigned to which routes or orders? How should warehouse or healthcare staff be allocated given a new set of circumstances? What inventory levels are needed to keep pace with demand?
Making quick and efficient decisions has an impact on a number of business goals — from customer satisfaction to risk reduction, cost savings, profit optimization, and more. We’ve seen the demand for this kind of problem-solving grow over time and it’s accelerated by an order of magnitude in light of the COVID pandemic.
Traditionally, solving decision science problems has either required hyper-specialized talent operating hyper-specialized technology, or overly simplified tooling that doesn't scale with the complexity of your business. We spent years at Grubhub wrestling with these kinds of challenges and building optimization and decision engineering solutions. In that time we learned a lot. We also saw an opportunity to address this problem space in a new way.
So we set out to build a platform that delivers automated decision-making capabilities to the everyday developer. Today, we provide two products: Hop for optimization and modeling (How should I dispatch drivers for the latest lineup of deliveries?) and Dash for simulation and experimentation (What happens to customer satisfaction if my delivery workforce changes?).
With this latest round of funding and support, we’re excited to accelerate product development with new cloud applications and templates, further invest in our community, and hire more great folks onto the Nextmv team.
Want to try Nextmv? Spin up a free trial of our Fleet Router model on Nextmv Cloud, which we recently launched in alpha.
Finally, I'd like to give a big thank to everyone who has been this journey with us so far!
Learn how to route a fleet of vehicles while working with time windows, time penalties, and unassigned penalties using the Dispatch app on Nextmv Cloud.
It’s important to create opportunities to connect when building a distributed company. Retreats are one way to do that, even if they’re virtual. Here’s an in-depth look at our exact agenda for our first virtual retreat at Nextmv and what we learned in the process.
We’ve released Hop v0.7.1! This release introduces a new assigner framework for Hop to make it easier for customers to add custom business logic to assignment problems within our fleet engine.
You have two vehicles and ten locations to visit. What's the best way to route your fleet? You have seconds to solve and Nextmv Cloud. Ready, set, go!
Transporting raw milk from farms to processing plants is a daily occurrence that seems simple at first glance. But it gets complex quickly when time is of the essence and milk volumes vary.
We've released Hop v0.7.0! This release introduces a cool new feature we call expanders into Hop to help customers manage time to first feasible solution and memory use as they scale their models.
Building decision models into binaries is a beautiful thing. It eliminates a lot of sticky deployment processes and gets you to production faster.
We're thrilled to have FirstMark Capital lead our Series A round, putting even more momentum behind our vision to bring the power of decision science to every developer.
Everyone talks about Santa's big night on his sleigh - a vision of efficiency with millions of chimneys traversed in a mere 24 hours
Launching Nextmv Cloud
Our quarantined world is even more on-demand than it used to be. We order groceries, gadgets and green goddess salad, and they all show up at our doors within minutes.
Routing, Packing, and Clustering - Optimization Fundamentals
We completed our seed round!
How does Hop make decisions?
What does nextmv do?