B2B payments platform for online trade and business checkout
Balance operates a B2B payments experience platform built around online checkout and transaction lifecycle management. The stack spans full-cycle infrastructure (Node.js, React, PostgreSQL, MongoDB across AWS, Kubernetes, Docker) with emerging AI integration (LangChain, LangGraph) and deep ERP connectors (NetSuite, QuickBooks). Active projects signal a shift toward AI-enhanced product experiences, while pain points around credit risk monitoring and transaction reconciliation point to underinvestment in operational controls relative to the complexity of enterprise payment flows.
Balance is a fintech company based in New York, founded in 2020, building a B2B payments platform that brings online checkout and transaction workflows to global business-to-business trade. The product addresses the full payment transaction lifecycle—from checkout through reconciliation and credit processes—targeting mid-market and enterprise buyers who handle complex cross-border or high-volume payments. The team operates across engineering, product, design, finance, risk, and marketing, with active hiring across the United States, Israel, and Bulgaria.
Balance uses Node.js, React, PostgreSQL, and MongoDB on AWS infrastructure with Kubernetes and Docker orchestration. Analytics rely on Tableau and Looker; ERP integrations include NetSuite and QuickBooks. AI components leverage LangChain and LangGraph.
Current projects include design system evolution, AI integration into product experiences, and improvements to credit processes and risk tooling. These efforts align with earlier pain points around credit portfolio monitoring and transaction reconciliation complexity.
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Balance'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.