Nextmv
Nextmv is a DecisionOps platform that helps operations research and data science teams build, test, deploy, and monitor optimization decision models. Serving logistics, retail, and supply chain enterprises, it integrates with major solvers including Gurobi and OR-Tools and is now part of FICO.
- Company typePrivate
- Founded2019
- HeadquartersPhiladelphia, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Nextmv does
Nextmv is a DecisionOps platform founded in 2019 and headquartered in Philadelphia that provides tooling for operations research and data science teams to build, test, deploy, and monitor optimization decision models. The platform wraps major commercial and open-source solvers (Gurobi, Google OR-Tools, Pyomo, HiGHS, CBC, GLPK, SCIP) and multiple mapping providers (Google Maps, HERE, OSRM, RoutingKit) into a unified workflow that includes Go and Python SDKs, a model marketplace with pre-built apps for vehicle routing, scheduling, packing, and price optimization, CI/CD integration via GitHub Actions, and managed cloud infrastructure with autoscaling, observability, and run history auditing. The company serves operations researchers, software and infrastructure engineers, and business stakeholders across industries including food delivery (Grubhub), on-demand services (TaskRabbit), mobility (HopSkipDrive), logistics and 3PL (NFI), retail and vending (Farmers Fridge), and retail logistics (Matchback Systems).
Nextmv operates a hybrid go-to-market combining product-led and community-led growth, with a freemium cloud tier (50 lifetime runs), self-serve signup, public documentation hub, GitHub open-source community apps, a developer forum, educational video content, and the DecisionFest virtual event series. Revenue is generated through tiered SaaS subscriptions (Innovator, Scale-up, and Premium plans with usage-based overage), enterprise quote-based contracts, and marketplace app subscriptions, all processed through Stripe. Co-founded by CEO Carolyn Mooney and CTO Ryan O'Neil, Nextmv operated as Nextmv.io Inc., a Delaware-incorporated private company that raised approximately $19.4 million across seed and Series A and B rounds before being acquired by FICO in February 2026, with the company continuing to operate as part of FICO's analytics organization.
Nextmv firmographics
Firmographics- Name
- Nextmv
- Legal name
- Nextmv.io Inc.
- Website
- https://nextmv.io
- Company type
- Private
- Founded year
- 2019
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Nextmv is a DecisionOps platform that helps operations research and data science teams build, test, deploy, and monitor optimization decision models. Serving logistics, retail, and supply chain enterprises, it integrates with major solvers including Gurobi and OR-Tools and is now part of FICO.
- Ownership category
- akta.pro rank
Nextmv industry classification
Industry- Product category
- Decision Optimization Software
- NAICS
- Custom Computer Programming Services (541511), Computer Systems Design Services (541512), Computer Systems Design and Related Services (5415), Other Computer Related Services (541519)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Programming Services (7371)
- akta.pro primary industry
- Business Rules & Decision Management Platforms (BRMS/DMN) (HDAEAKAG)
- akta.pro secondary industry
- Database/Application Data Layer Modernization (DB migration, ORM, caching) (BPAEAFAL)
Keywords
Where Nextmv is headquartered
LocationHeadquarters
- HQ city
- Philadelphia
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Nextmv business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- SaaS Subscription (Public Cloud): Monthly or annual subscription for cloud-hosted decision model deployment and execution. Pricing tiers include Free (limited runs), Innovator, Scale-up, and Premium plans with varying rate limits and run time limits.
- API Usage-based Billing: Usage-based pricing where customers are invoiced based on API calls and run executions. Automatic tier upgrades when usage exceeds allotted limits within billing periods.
- Marketplace Apps: Subscription to pre-built decision model apps available in the Nextmv marketplace for specific use cases like routing, scheduling, packing, and knapsack optimization.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | Free account with limited usage for evaluation |
| Subscription | Monthly | Innovator plan for individual developers and small teams |
| Subscription | Monthly | Scale-up plan for growing teams with higher limits |
| Subscription | Annual | Premium plan for enterprise with maximum performance |
Go-to-market motion2 records
Distribution channels4 records
Marketing channels8 records
Nextmv product offering
Product offeringCore offering
Nextmv provides a DecisionOps platform that enables operations research, data science, and engineering teams to build, test, deploy, and operate decision optimization models (vehicle routing, scheduling, packing, pricing). The platform combines a managed cloud runtime, Go and Python SDKs, multi-solver support (Gurobi, Pyomo, OR-Tools, HiGHS, CBC, GLPK, SCIP), pre-built marketplace apps, and CI/CD-style experimentation tooling for productionizing optimization decisions.
Product overview
Nextmv is a DecisionOps platform that provides a unified suite of optimization tools for building, testing, and deploying decision models. The platform consists of the core DecisionOps Platform, Nextmv Cloud (public cloud service), Nextmv SDK (Go-based), and a Model Marketplace with pre-built apps. Key applications include Vehicle Route Optimization, Scheduling Optimization, Packing Optimization, and Price Optimization. The platform supports multiple solver integrations including Gurobi, HiGHS, CBC, GLPK, OR-Tools, and Pyomo. Community apps include Knapsack, Shift Scheduling, Routing Without Constraints, and Order Fulfillment. Nextmv provides CI/CD integration via GitHub Actions and supports experimentation tools for model testing and validation. Nextmv is now part of FICO.
Differentiator
Problem solved
Functional benefit
Products and services
- DecisionOps Platform Core platform providing a DecisionOps workflow for efficient model validation, management, and operationalization. Connects custom decision models into a unified system from prototype to test bench to production, with experimentation and observability tooling. For operations research, data science, and software engineering teams.
- Nextmv Cloud Public cloud-hosted SaaS service for deploying and running decision models. Provides managed infrastructure with autoscaling, REST API endpoints for decision optimization, and SLA-backed availability (99.95% API, 99.9% Console).
- Nextmv SDK (Go) Software development kit in Go for building custom decision optimization models. Default solver is HiGHS. Used for community apps including knapsack, shift scheduling, and order fulfillment. Version 1.7.0 introduced manifest-based configuration for load and write functions and integrated UV for dependency management.
- Vehicle Route Optimization Customizable vehicle routing API and SDK for fleet operations. Handles food delivery, materials distribution, quick commerce, mobility logistics, humanitarian aid, and warehouse route generation. Supports constraints such as precedence, route length, time windows, vehicle capacity, and custom constraints. Integrates with OSRM, Google Maps, HERE Maps, and RoutingKit.
- Scheduling Optimization Customizable schedule optimization SDK for efficiently scheduling resources. Use cases include driver assignments, healthcare worker schedules, teacher class schedules, sports game scheduling, call center staffing, and staff rostering. Supports constraints for shift preferences, worker availability, and workload balancing.
- Packing Optimization Customizable packing optimization SDK for efficiently packing and allocating resources. Handles bin packing, pallet packing, budget allocation, inventory allocation, natural resource conservation, and clinical trial design. Supports custom constraints and value functions including capacity, item value, and ROI maximization.
- Price Optimization Regression-based price and supply optimization to maximize returns while accounting for waste, demand, inventory, operating costs, and buyer behavior. Use cases include retail goods pricing, travel and hospitality pricing, and marketplace pricing. Supports minimum/maximum price constraints.
- Knapsack App Mixed integer programming (MIP) community app for knapsack optimization. Available in OR-Tools (Python and Java with SCIP solver), Pyomo (Python with CBC solver), and Nextmv SDK (Go with HiGHS solver). Input includes items with value and weight plus a weight capacity.
- Shift Scheduling App MIP community app for shift scheduling optimization. Built with Nextmv Go SDK using HiGHS solver. Input includes workers with availability windows and required worker demand. Supports constraints for shift duration limits, recovery time, and workload balancing.
- Routing Without Constraints App Unconstrained vehicle routing problem (VRP) community app using OR-Tools Python with SCIP solver. Input includes a distance matrix, number of vehicles, and depot index. Generates routes for vehicles visiting stops without additional constraints.
- Order Fulfillment App MIP community app for order fulfillment optimization. Built with Nextmv Go SDK using HiGHS solver. Optimizes assignment of items to distribution centers and carriers based on inventory, capacities, and delivery costs.
- Nextmv CLI Command-line interface enabling DecisionOps-powered model development from a local machine to remote infrastructure for testing and production runs through a simple one-line command. Supports deployment, testing, and workflow automation.
- Nextmv Gurobi Integration Integration enabling building, testing, and deploying decision models running the Gurobi optimization solver. Features tooling for historical and online model testing, tuning, deployment, and collaboration through the DecisionOps platform.
- Nextmv Pyomo Integration Integration for operationalizing Python-based Pyomo MIP decision models. Includes pre-bundled solvers for CBC and GLPK, CI/CD deployment via GitHub Actions, and acceptance testing for production rollout.
- Jupyter Notebook Integration for Python Decision Models Feature enabling users to deploy Python decision models as hosted apps directly from Jupyter Notebooks. Lets users push Python decision models from local files to remote applications in minutes, run experimentation tooling, collaborate with teammates, and get observability into model performance.
Quantifiable outcome
- Faster model deployment - deploy custom decision models to remote infrastructure in minutes
- +1 more outcomes
Companies that use Nextmv
Customer profileNamed customers6 records
Segments6 records
Ideal customer profiles3 records
Nextmv technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration10 records
AI capability2 records
Feature9 records
Nextmv partnerships and signals
Strategic signalPartnerships
Six partnerships are on record, tiered flagship, core and minor.
- FICOflagshipNextmv announced it is now part of FICO, representing a significant strategic partnership/acquisition. FICO is a leading analytics software company, and this integration positions Nextmv as the decision intelligence layer within FICO's broader enterprise analytics ecosystem.
- GurobicoreIntegration with Gurobi optimizer for solving mathematical optimization models. Nextmv provides tooling to build, test, and deploy Gurobi models using DecisionOps practices including CI/CD integration and experimentation.
- Google OR-ToolscoreIntegration with Google's OR-Tools for vehicle routing, scheduling, and MIP problems. Platform supports Python and Java OR-Tools models with deployment and testing workflows.
- PyomocoreIntegration with Pyomo Python optimization modeling language. Pre-bundled solvers for CBC and GLPK included. Platform accelerates Pyomo model development with DecisionOps tooling.
- HiGHScoreNative support for HiGHS open-source solver via Go SDK and Python interfaces. Used as default solver in multiple Nextmv community apps.
- StripeminorStripe, Inc. is used to process payments for Nextmv subscriptions and usage. Nextmv is subject to Stripe's End User Terms and Privacy Policy for payment processing.
Scale indicators1 record
Recent moves7 records
Expansion highlights5 records
Nextmv competitors and assessment
Company assessmentDirect peers
- Gurobi Optimization: Provider of the Gurobi commercial optimization solver that Nextmv deeply integrates with. Comparable as the dominant MIP solver in the same optimization-decision ecosystem where Nextmv operates its DecisionOps layer, and a potential substitute for high-end customers building optimization workflows directly on Gurobi.
- Aimms: Optimization modeling and decision-support platform serving operations research teams in supply chain, manufacturing, and energy. Comparable to Nextmv as an end-to-end platform for building, deploying, and operationalizing optimization/decision models in enterprises.
- Google OR-Tools: Open-source operations research suite from Google for vehicle routing, scheduling, and MIP problems. Comparable to Nextmv because both target the same solver-level optimization use cases, though Google OR-Tools is a free library while Nextmv layers DecisionOps workflow tooling on top of it.
Broad incumbents
- Databricks: Unified data and AI platform with MLOps, model serving, and increasingly workflow/decision orchestration capabilities. Comparable as a broader incumbent that could subsume DecisionOps capabilities into its Lakehouse/MLflow ecosystem, competing for the same enterprise ML/AI budget.
- Domino Data Lab: Enterprise MLOps platform for model development, deployment, and governance. Comparable to Nextmv in addressing the operationalization of models at scale, though focused on the broader MLOps market rather than optimization-specific DecisionOps.
- Anaconda: Python data science platform providing tools, package management, and environments for data scientists and OR practitioners. Comparable as adjacent infrastructure for the same operations-research and data-science target audience that Nextmv serves.
- Vertex AI (Google Cloud): Google Cloud's unified ML platform for training, deploying, and managing ML models with MLOps features. Comparable as a broad incumbent that offers model lifecycle and deployment tooling potentially overlapping with Nextmv's DecisionOps value proposition.
Emerging players
- Hex: Collaborative data and AI workspace used by data scientists and operations teams for analytics, modeling, and deployment workflows. Comparable to Nextmv in serving technical practitioners who build decision/optimization logic, with overlapping PLG and developer-led go-to-market.
- Weights & Biases: Developer platform for ML experiment tracking, model management, and observability. Comparable to Nextmv in providing model lifecycle tooling with PLG and developer community adoption, though focused on ML training rather than optimization deployment.
- Decision Lab (decision optimization vendors): Optimization and decision-science consulting/technology providers that build custom decision systems for enterprises. Comparable to Nextmv as alternative paths for companies seeking decision optimization capabilities, though typically services-led rather than product-led.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks6 records
Key highlights7 records
Customer concentration
Nextmv social profiles
Digital presenceNextmv financial estimates
Financial estimateRevenue estimate
Valuation estimate
Nextmv leadership team
Management profileNumber of profiles
Profiles7 records
Nextmv funding detail
Funding detailFunding overview
Funding rounds4 records
Investors10 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Nextmv M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Nextmv
What does Nextmv do?
Nextmv provides a DecisionOps platform that enables operations research, data science, and engineering teams to build, test, deploy, and operate decision optimization models (vehicle routing, scheduling, packing, pricing). The platform combines a managed cloud runtime, Go and Python SDKs, multi-solver support (Gurobi, Pyomo, OR-Tools, HiGHS, CBC, GLPK, SCIP), pre-built marketplace apps, and CI/CD-style experimentation tooling for productionizing optimization decisions.
Is Nextmv a public or private company?
Nextmv is a private company. It is classified as corporate owned and is currently operating.
When was Nextmv founded?
Nextmv was founded in 2019. It employs 11 to 50 people.
Where is Nextmv based?
Nextmv is headquartered in Philadelphia, United States, in the North America region.
How does Nextmv make money?
Three revenue lines are on record. SaaS Subscription (Public Cloud) is the primary driver. The others are API Usage-based Billing and marketplace Apps.
Who are Nextmv's main competitors?
Direct peers on record are Gurobi Optimization, Aimms and Google OR-Tools. Broad incumbents are Databricks, Domino Data Lab, Anaconda and Vertex AI (Google Cloud). Emerging players are Hex, Weights & Biases and Decision Lab (decision optimization vendors).
Does Nextmv have an API?
Yes. Nextmv provides a public API for decision optimization. The API enables developers to create custom decision services, run decision models, manage deployments, and perform experiments. It is accessible via cloud.nextmv.io with endpoints for running decision optimization algorithms. The platform provides SDKs in Go (Nextmv SDK), Python (via OR-Tools and Pyomo integrations), and Java (via OR-Tools). API rate limits vary by plan: Free accounts have 50 runs lifetime maximum; Innovator plan allows 5 run requests per second, 200 run result requests per 10 seconds, and 2,000 API requests per minute; Scale-up and Premium plans offer higher limits (10 run requests per second, 500 run result requests per 10 seconds, 10,000 API requests per minute). Run duration limits range from 30 seconds (free) to 15 minutes (paid plans). Developer documentation is at docs.nextmv.io.
What industry is Nextmv in?
Nextmv's product category is Decision Optimization Software. Its primary akta.pro industry code is HDAEAKAG, Business Rules & Decision Management Platforms (BRMS/DMN), with a secondary code of BPAEAFAL, Database/Application Data Layer Modernization (DB migration, ORM, caching). Its NAICS code is 541511 and its SIC code is 7372.