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A DecisionOps platform that accelerates optimization AI teams
Nextmv has raised $11.0M across 2 funding rounds.
Key people at Nextmv.
Nextmv was founded in 2019 by Ryan O'Neil (Co-Founder + CTO) and Carolyn Mooney (Founder).
Nextmv has raised $11.0M in total across 2 funding rounds.
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 DecisionOps platform designed to accelerate how optimization AI and data science teams build, test, deploy, and manage decision models as scalable decision services. It provides a comprehensive infrastructure including SDKs, CLI, and a web console that enables teams to create custom decision applications for logistics and other operational use cases such as routing, scheduling, and order fulfillment. By streamlining workflows around model validation, experimentation, versioning, and observability, Nextmv helps organizations reduce operational risk and speed up time-to-value from decision optimization technology[1][2][6].
For an investment firm, Nextmv’s mission centers on enabling faster, more reliable deployment of decision models that save money and time for businesses. Their investment philosophy likely emphasizes backing innovative AI infrastructure companies that empower operational teams with automation and optimization tools. Key sectors include logistics, supply chain, and broader enterprise AI applications. Nextmv’s impact on the startup ecosystem includes advancing the emerging DecisionOps discipline, fostering developer-friendly tooling, and promoting best practices for operationalizing AI-driven decision models[5][7].
As a portfolio company, Nextmv builds a DecisionOps platform that serves data scientists, optimization engineers, and AI teams who need to operationalize complex decision models efficiently. It solves the problem of slow, risky, and fragmented deployment of optimization models by providing a unified platform for model development, testing, deployment, and monitoring. Nextmv’s growth momentum is supported by integrations with popular solvers (e.g., Gurobi), a marketplace of pre-built apps, and backing from prominent investors like FirstMark Capital and Y Combinator[1][5][9].
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Nextmv was founded as a woman-owned Series A startup headquartered in Philadelphia, backed by investors including FirstMark Capital, RTP Global, and Y Combinator. The founding team includes leaders with backgrounds from Stripe, Twilio, GitHub, and Seamless, bringing deep expertise in software, AI, and optimization. The idea emerged from the need to streamline the operationalization of decision models, which traditionally faced challenges in deployment, testing, and collaboration. Early traction came from logistics use cases such as vehicle routing and workforce scheduling, where Nextmv demonstrated faster model iteration and deployment cycles[5][3].
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Nextmv rides the growing trend of DecisionOps, a discipline focused on operationalizing AI-driven decision models with the same rigor as software engineering. As enterprises increasingly adopt AI for complex operational decisions, the need for reliable, scalable, and collaborative model deployment platforms becomes critical. Market forces such as the rise of logistics automation, supply chain optimization, and AI democratization favor platforms like Nextmv that reduce time-to-market and operational risk. By standardizing workflows and providing a system of record for decision models, Nextmv influences the broader ecosystem by enabling faster innovation cycles and more trustworthy AI deployments[7][2].
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Nextmv is well-positioned to expand its influence as DecisionOps gains wider adoption across industries beyond logistics, including manufacturing, retail, and finance. Future trends shaping its journey include tighter integration with AI/ML pipelines, enhanced automation of model testing and validation, and growth of its marketplace ecosystem for reusable decision apps. As enterprises demand more transparency and reliability in AI-driven decisions, Nextmv’s platform could evolve into a critical infrastructure layer for operational AI, further accelerating the deployment of optimization models at scale. This aligns with its mission to make decision modeling faster, safer, and more collaborative, ultimately transforming how businesses automate complex decisions[1][7][9].
Key people at Nextmv.
Nextmv was founded in 2019 by Ryan O'Neil (Co-Founder + CTO) and Carolyn Mooney (Founder).
Nextmv has raised $11.0M in total across 2 funding rounds.
Nextmv's investors include FirstMark Capital, AirAngels, Andreessen Horowitz, Awesome People Ventures, CE Innovation Capital, Coatue, Essence VC, Gutter Capital, Heavybit, iNovia Capital, Mouro Capital, Redpoint Ventures.
Nextmv has raised $11.0M across 2 funding rounds. Most recently, it raised $8.0M Series A in December 2020.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Dec 1, 2020 | $8.0M Series A | FirstMark Capital | AirAngels, Andreessen Horowitz, Awesome People Ventures, CE Innovation Capital, Coatue, Essence VC, Gutter Capital, Heavybit, iNovia Capital, Mouro Capital, Redpoint Ventures, Revel Partners, Slack Fund, Trajectory Ventures, Augusto Marietti, Barry X Lynn, Ben Barokas, Erik Matlick, Kenny Van Zant, KV Rao, Scott Heiferman, Ankit Agarwal, Claire Hughes Johnson, Jason Finger, Jason Warner, Ricky Robinett, 2048 Ventures, Atypical Ventures, Dynamo Ventures |
| Mar 1, 2020 | $3.0M Seed | FirstMark Capital, Dynamo Ventures | 2048 Ventures, CE Innovation Capital, Jump Capital, Mouro Capital, SpringTime Ventures, The Venture Reality Fund, XFactor Ventures, Atypical Ventures |