AI-powered audit, risk, and compliance platform for enterprise GRC
AuditBoard operates a platform built on Python, Java, PostgreSQL, and Kubernetes that connects audit, risk, and compliance workflows for large enterprises. The tech stack reveals a mature data-processing layer (TensorFlow, PyTorch, Hugging Face, Alteryx) paired with a sales infrastructure that mirrors enterprise B2B motion (Salesforce, Outreach, ZoomInfo, LinkedIn Sales Navigator), but the hiring freeze (zero roles posted in 30 days despite 49 active openings) and sales-weighted department mix suggest the company is focused on retention and productivity lift rather than volume growth — a signal that pipeline expansion and complex sales-cycle velocity are current constraints.
AuditBoard provides a connected-risk platform for audit, risk, and compliance management at large enterprises. The product is structured around three operational domains: internal audit workflows, regulatory and Sarbanes-Oxley compliance, and third-party risk assessment. The company serves a customer base that skews Fortune 500–level, requiring multi-year implementation cycles and deep domain expertise. Active projects reveal ongoing investment in data extraction automation, integrations and partner ecosystem expansion, and sales-process optimization — all signaling maturity in product but ongoing friction in go-to-market execution and customer adoption.
Python, JavaScript, Node.js, Java, PostgreSQL, Kubernetes, Docker. For ML: TensorFlow, PyTorch, Hugging Face. For enterprise/sales: Salesforce, Workday, NetSuite, Outreach, ZoomInfo. Frontend: React, Vue, TypeScript, Ember.js.
Headquartered in Cerritos, California. Active hiring in United States, Germany, Netherlands, United Kingdom, and Poland.
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