AI-driven cloud platform for supply chain planning and inventory optimization
GAINS builds supply chain planning software on a math-heavy stack: Python, C++ and Java paired with Gurobi and CPLEX solvers, plus scikit-learn, Pandas and NumPy, all running on Azure Kubernetes Service with Azure DevOps pipelines. Hiring is accelerating and engineering-led, aimed at optimization, simulation and inventory modeling, while presales work on demo environments and proof-of-concept engagements points to a hands-on, consultative sales motion.
GAINS is a privately held software company headquartered in Atlanta, Georgia, with 51–200 employees. It sells a cloud platform for supply chain planning that covers demand forecasting, inventory optimization and sales, inventory and operations planning (SI&OP). Customers span manufacturing, distribution, retail and service parts or maintenance operations. The platform combines machine learning with optimization algorithms and analytics, and onboarding follows a structured implementation methodology. Go-to-market runs through HubSpot, Salesforce and Pardot.
GAINS uses Python, C++, Java and .NET, optimization solvers Gurobi and CPLEX, ML libraries scikit-learn, Pandas and NumPy, and Azure services including AKS, Azure DevOps and Azure Pipelines.
Yes. Engineering dominates GAINS' accelerating hiring, mostly mid-level roles in the United States, alongside smaller needs in consulting, marketing and sales.
GAINS is headquartered in Atlanta, Georgia, United States, and has 51–200 employees.
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GAINS's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.