Side-by-side comparison of AI visibility scores, market position, and capabilities
$21.2M revenue 2024 (up from $8.2M 2023); $66.5M total funding ($40M Series B Aug 2023); 178 employees; 115+ supported frameworks; customers: Veeva, Fortinet, 3M, Motorola; compliance operations leader
Hyperproof was founded in 2019 by Craig Unger, a former compliance technology executive, to solve the operational inefficiency of enterprise compliance programs — the manual, spreadsheet-heavy process of collecting evidence, mapping controls to frameworks, and managing audit workflows across overlapping regulatory requirements. The company built a compliance operations platform designed to make continuous compliance achievable: rather than scrambling for evidence before an annual audit, teams maintain a live compliance posture against multiple frameworks simultaneously through integrations that automate evidence collection from cloud infrastructure and SaaS tools.\n\nHyperproof's platform provides a centralized control library mapping to 115+ frameworks including SOC 2, ISO 27001, HIPAA, FedRAMP, PCI DSS, GDPR, and CMMC. Controls are mapped once and reused across multiple frameworks to eliminate redundant evidence collection. Automated evidence collection integrates with AWS, Azure, GCP, GitHub, Jira, and Okta to pull compliance artifacts without manual effort. Risk management, vendor assessments, and policy management modules extend the platform beyond audit readiness into broader GRC workflows. Customers include Veeva Systems and Flexport.\n\nHyperproof reported $21.2 million in revenue for 2024, up from $8.2 million in 2023 — a 158% year-over-year increase — and has raised $66.5 million in total funding with 178 employees. Rapid growth reflects expanding compliance obligations on technology companies as AI governance frameworks, FedRAMP requirements, and state privacy regulations layer on top of existing security certifications. Hyperproof's automation-first architecture enables compliance program scaling without proportional headcount growth.
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.
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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