AuditBoard vs Armilla AI
Side-by-side comparison of AI visibility scores, market position, and capabilities
$300M+ ARR Oct 2025 (from $200M Feb 2024); 2,000+ enterprises including 50% Fortune 500; $3B acquisition by Hg May 2024; Gartner Leader 2025 Magic Quadrant for GRC Tools
About
AuditBoard is a cloud-based audit, risk, and compliance management platform founded in 2014 in Los Angeles by Scott Arnold and Bidhan Roy. The company was built on the insight that enterprise audit and compliance teams were stuck managing complex programs in spreadsheets and email, creating inefficiency and risk. AuditBoard's core technology centralizes internal audit, SOX compliance, enterprise risk, and ESG reporting into a unified platform with workflow automation, real-time dashboards, and cross-functional collaboration tools.\n\nThe platform serves over 2,000 enterprises, including more than half of the Fortune 500, making it the market's most widely adopted audit management solution. AuditBoard's product suite covers internal audit management, SOX compliance, operational risk management, vendor risk, and ESG reporting — addressing the full governance, risk, and compliance lifecycle in one integrated environment. Gartner named AuditBoard a Leader in its 2025 Magic Quadrant for Audit Management, reflecting its consistent product execution and customer satisfaction.\n\nAuditBoard crossed $300M in ARR in October 2025, a milestone that cemented its position as one of the largest GRC software companies in the world. In May 2024 the company was acquired by British private equity firm Hg for $3B, providing capital and operational expertise to accelerate its global expansion. As regulatory demands intensify and boards increase scrutiny of risk functions, AuditBoard's comprehensive platform and Fortune 500 penetration give it a commanding position in the fast-growing GRC software market.
AI quality assurance with insurance-backed warranties from Swiss Re and Greenlight Re; EU AI Act compliance assessments backed by YC and reinsurance partners for high-risk AI deployments.
About
Armilla AI is a third-party AI quality assurance and warranty company that evaluates AI models for organizations deploying AI in regulated or high-stakes contexts — assessing models against EU AI Act and NIST AI Risk Management Framework requirements for risks including bias, hallucination, robustness failures, and adversarial vulnerabilities, then providing performance guarantees backed by insurance coverage from reinsurers Swiss Re, Greenlight Re, and Chaucer. Founded in Toronto, Canada, Armilla raised $6.81 million total including a C$4.5 million seed round in February 2024 from Mistral Venture Partners, MS&AD Ventures, Y Combinator, and its reinsurance partners.\n\nArmilla's model is unique in the AI governance market — rather than just providing compliance reports, Armilla backs its assessments with insurance warranty products. An enterprise deploying a third-party AI model can purchase an Armilla warranty that pays out if the model performs differently than assessed (fails on bias, accuracy, or robustness metrics), transferring AI performance risk to insurance markets that can price and distribute it. This insurance mechanism creates financial accountability for AI quality claims that audit reports alone don't provide.\n\nIn 2025, Armilla competes in the AI governance, risk, and compliance market with Credo AI, Arthur AI, and AI audit firms for enterprise AI risk assessment and compliance tools. The EU AI Act, fully applicable by August 2025 for high-risk AI systems, is driving enterprise compliance urgency — companies deploying AI in hiring, credit scoring, healthcare, and other regulated contexts need third-party conformity assessments. Armilla's insurance-backed warranty differentiates its offering from pure advisory competitors. The reinsurer backing (Swiss Re, Greenlight Re, Chaucer) provides both capital credibility and distribution through insurance broker channels. The 2025 strategy focuses on growing EU AI Act compliance assessments and expanding the warranty product coverage to more AI deployment use cases.
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