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DecisionNext: SaaS provider of AI/ML software for price & supply forecasting and market simulation across supply chains and commodity categories.
Based in San Francisco, California, DecisionNext develops artificial intelligence and machine learning software for price and supply forecasting across global supply chains and commodity categories. The company operates as a SaaS provider, offering market simulation tools that deliver transparent data models to facilitate empirically driven business decisions for clients in the retail, commodity trading, and finance sectors. Operating with an estimated workforce of fewer than 50 employees and generating under $5 million in annual revenue, the enterprise has raised approximately $10.3 million in venture capital funding across four distinct rounds. The executive leadership brings significant enterprise software experience, notably including Chief Executive Officer Mike Neal, who previously co-founded the retail analytics firm DemandTec before its eventual acquisition by technology giant IBM. DecisionNext was officially founded in 2015 by co-founders Mike Neal and Bob Pierce.
DecisionNext has raised $9.0M across 2 funding rounds.
DecisionNext has raised $9.0M in total across 2 funding rounds.
DecisionNext has raised $9.0M in total across 2 funding rounds.
DecisionNext's investors include Dalus Capital, Band of Angels, Felicis Ventures, InterWest, Keiretsu Capital, Gus Fuldner.
DecisionNext is an AI-driven platform specializing in predictive and prescriptive analytics for commodities-driven industries, enabling companies to optimize buying, selling, and pricing decisions across agriculture, food, mining, and natural resources.[1][2][3][5] It builds forecasting software that integrates machine learning models with market data to create scenarios, quantify risks, and improve profit margins by providing actionable insights into price and supply forecasts.[1][3][5] Serving customers like Johnsonville, Sysco, Teys, and Kilcoy Global Foods, DecisionNext solves the problem of market volatility and uncertainty in commodities trading by offering transparent, repeatable decision tools that outperform traditional spreadsheets or rules-of-thumb.[3][5] The company demonstrates strong growth momentum, evidenced by a renewed multi-year partnership with Kilcoy Global Foods in April 2025, availability on AWS Marketplace, and over $9.5M in total funding through multiple rounds, including a Series A - II.[3][4]
Founded in 2013 (with some sources noting 2015 as the key innovation start), DecisionNext emerged from the vision of co-founders Mike Neal (CEO, serial entrepreneur with 15 patents and prior SaaS experience at DemandTec, now part of IBM) and Bob Pierce, PhD (Chief Scientist).[1][2][3][4] The idea stemmed from Neal and Pierce's expertise in applying mathematical models to business decisions, blending AI innovation with global market timing to address gaps in supply chain forecasting.[1] Early traction built on revolutionizing price and supply predictions across commodities, evolving from a focus on analytics to a full prescriptive platform amid rising data availability via cloud computing and machine learning.[1][5] Headquartered in San Francisco (with ties to Indianapolis), the company has grown to under 25 employees while securing venture funding and strategic partnerships.[2][3][4]
DecisionNext stands out in the commodities analytics space through these key strengths:
DecisionNext rides the wave of AI-powered supply chain optimization, capitalizing on volatile commodity markets driven by climate events, geopolitical tensions, and post-pandemic disruptions that demand precise forecasting.[1][3][5] Its timing aligns with the explosion of cloud data integration and machine learning advancements since 2013, enabling what was previously impossible: real-time synthesis of disparate datasets for prescriptive insights.[1][4] Market forces like rising food prices and resource scarcity favor its tools, helping industries match the profit gains seen in airlines and retail via advanced analytics.[2] By influencing ecosystem partners (e.g., AWS) and customers, DecisionNext accelerates AI adoption in traditionally conservative sectors like agriculture and mining, bridging the gap between raw forecasts and executable strategies.[3][5]
DecisionNext is poised for expansion as AI maturity deepens in commodities trading, with trends like multimodal data fusion, edge computing for real-time decisions, and regulatory pushes for supply chain transparency amplifying its edge.[3][4][5] Next steps likely include scaling AWS integrations, entering more non-traded commodities, and leveraging recent partnerships for global reach—potentially fueling further funding or acquisition interest given its $9.5M raised and pre-IPO visibility.[4][6] Its influence could evolve from niche optimizer to industry standard, empowering smarter decisions in an era of unrelenting market uncertainty, much like how it transformed forecasting from numbers to game-changing actions.[1][5]
DecisionNext has raised $9.0M across 2 funding rounds. Most recently, it raised $7.0M Series A in June 2019.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Jun 4, 2019 | $7.0M Series A | Dalus Capital | |
| Mar 1, 2015 | $2.0M Series B | Band of Angels, Felicis Ventures, InterWest, Keiretsu Capital, Gus Fuldner |