PCI-compliant payment processing platform integrated with major ERPs and shopping carts
EBizCharge operates a payment processing platform deeply integrated with enterprise accounting systems (QuickBooks, Sage, SAP, NetSuite, Dynamics) and e-commerce platforms (Magento, WooCommerce). The tech stack is Azure-native with heavy automation testing tooling (Playwright, Selenium, UiPath, Cypress, TestRail), and active projects span payment gateway automation, ERP integration, and AI governance — suggesting the company is scaling transaction reliability and compliance automation rather than building greenfield features. Engineering hiring dominates the mix, consistent with a platform managing billions in annual transaction volume.
EBizCharge is a privately held payment processing company founded in 2004 and headquartered in Irvine, CA. The platform handles embedded and stand-alone payment processing, billing, and transaction security for over 400,000 users across the US and Canada, processing billions in transactions annually. The product integrates natively with major ERP systems (QuickBooks, Sage, SAP Business One, Microsoft Dynamics, NetSuite, Epicor, Acumatica) and e-commerce platforms (Magento, WooCommerce, Volusion), positioning itself as a middleware layer for financial operations. The organization is structured around engineering-led delivery with PCI-DSS and compliance as foundational constraints.
EBizCharge runs on Azure infrastructure (Functions, Logic Apps, Cognitive Services, SQL, Storage) with Python for application code. Testing and automation rely on Playwright, Selenium, Cypress, UiPath, and Automation Anywhere. The platform integrates with QuickBooks, Sage, SAP, Dynamics 365, NetSuite, and Epicor on the ERP side.
Active projects include payment gateway automated testing, ERP integrations (Shopware 6, new connectors), MCP server development, AI governance frameworks, and automation for CI/CD pipelines to handle high transaction volume performance and PCI-DSS compliance.
EBizCharge'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.