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Nexosis offers a machine learning platform and API that empowers developers to integrate predictive analytics into their applications. The company’s core product provides automated machine learning capabilities, enabling businesses to forecast critical operational metrics such as sales, transactions, and inventory needs. Its technology is designed to simplify complex data science, allowing for efficient generation of predictions without extensive expertise.
The company was co-founded in 2015 by Ryan Sevey and Jason Montgomery, who brought backgrounds in information security to their venture. Their initial insight stemmed from observing inefficiencies in business operations and recognizing the potential of machine learning to address these challenges. They developed a platform that could automate the process of building and deploying predictive models, streamlining the adoption of advanced analytics.
Nexosis primarily serves businesses within the retail and restaurant sectors, helping them optimize stock levels and reduce waste through accurate demand forecasting. The company's long-term vision centers on leveraging machine learning to combat inefficiencies across industries, aiming to minimize the environmental and economic impact of overstocking and understocking by providing precise, actionable insights.
Nexosis has raised $6.0M across 2 funding rounds.
Nexosis has raised $6.0M in total across 2 funding rounds.
Nexosis was a Columbus, Ohio-based technology company founded in 2015 that built a machine learning API platform enabling developers to automate data processing, model selection, and time series forecasting for predictive analytics.[2][3] It served enterprises, including Fortune 1000 companies, solving challenges in forecasting accuracy, cost reduction, revenue optimization, and anomaly detection like cybersecurity intrusions by integrating easily with existing CRM and ERP systems.[1][2] The platform pivoted from initial cybersecurity focus to broader machine learning applications after customer validation, achieving early traction with forecasting improvements from 80% to 95% accuracy, before being acquired by DataRobot in an undisclosed deal around 2018, with founders later launching Mantium.[1][2][5]
Nexosis was co-founded in 2015 by Ryan Sevey (CEO) and Jason Montgomery (CTO), experts in information security from Columbus, Ohio.[1][2] The idea emerged from their security background but pivoted during Rev1 Ventures' Customer Learning Lab, where surveys revealed stronger demand for general machine learning over pure cybersecurity, leading to a focus on predictive analytics.[1] Early traction came quickly through this accelerator, securing Fortune 1000 customers and validating the platform's easy integration and self-adaptive models that evolve with data feeds.[1] By 2018, Nexosis had raised $6.98M and filed a patent for self-adaptive time series forecasting, culminating in its acquisition by DataRobot, bringing the team and tech into a larger AI ecosystem.[2][5]
Nexosis rode the early 2010s boom in automated machine learning (AutoML) and AI democratization, timing perfectly with enterprises seeking accessible tools amid exploding big data without deep data science expertise.[2][5] Market forces like rising demand for predictive analytics in CRM/ERP and cybersecurity favored its plug-and-play model, influencing the ecosystem by accelerating adoption—its quick path from startup to DataRobot acquisition (second after Nutonian) strengthened Columbus as an AI hub and validated time series as a strategic AutoML niche.[1][5] This deal bolstered DataRobot's platform, preventing competitors from gaining its talent and tech, and highlighted Ohio's startup momentum in AI.[2][5]
Post-acquisition, Nexosis's tech and founders integrated into DataRobot, with Sevey and Montgomery later founding Mantium (2021, $12.75M raised), signaling their ongoing influence in accessible AI.[2] Trends like agentic AI and real-time forecasting will shape their legacy, as embedded Nexosis capabilities power enterprise-scale deployments. Their influence evolves through alumni ventures, potentially amplifying AutoML's role in edge cases like adaptive security—watch for DataRobot announcements unlocking this tech further, tying back to Nexosis's origins in making ML predictably powerful for all.[5]
Nexosis has raised $6.0M across 2 funding rounds. Most recently, it raised $5.0M Seed in November 2016.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Nov 1, 2016 | $5M Seed | — | Accel, Battery Ventures, Greycroft, Inovia Capital, Revel Partners, Tealium, Tenaya Capital, Uncorrelated Ventures | Announced |
| Mar 1, 2016 | $1M Seed | — | Matchstick Ventures | Announced |
Nexosis has raised $6.0M in total across 2 funding rounds.
Nexosis's investors include Accel, Battery Ventures, Greycroft, iNovia Capital, Revel Partners, Tealium, Tenaya Capital, Uncorrelated Ventures, Matchstick Ventures.
